Presenter of the Paper Entitled: - Undip PAK Repository

(1)

Design and Implementation of Post-Detection of Denial of Service (DoS) as a Mitigation System (PDDMS) Based on Dynamic Access Control List Algorithm

Presenter of the Paper Entitled:

!"#$% &$'() ur Rochim

(2)

1 of 1

th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI • Pages -

• • th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI • Virtual, Yogyakarta • December • Code



Download



Print



E-mail



Save to PDF

⋆

Add to List More...

▻

Document type Conference Paper Source type

Conference Proceedings ISBN

- -

DOI

. /ISRITI . .

Views count View all metrics

Design and Implementation of Post-Detection of Denial of Service (DoS) as a Mitigation System (PDDMS) Based on Dynamic Access Control List Algorithm

Rochim, Adian Fatchur ; Mochtar, Fahmi Maghrizal ; Fauzi, Adnan Save all to author list

Universitas Diponegoro, Faculty of Engineering, Department of Computer Engineering, Semarang, 50275, Indonesia

a

Full text options Export

Abstract

Author keywords Indexed keywords SciVal Topics Metrics Funding details

Abstract

Computer networking maintenance and monitoring have been essential things. A human administrator could not monitor the whole resources for 24 hours and take action directly in inactive hours when an incident occurs. Automating the network appliance with the integration of an attack detection system could help solve the problem. This study mainly focuses on mitigating network attacks using the Dynamic Thresholding algorithm as a detection and mitigation system based on network automation using the Dynamic Access Control List algorithm. The data used for this research is self-generated in a

Cited by 0 documents

Inform me when this document is cited in Scopus:

Brought to you by Universitas Diponegoro

(3)

iii

WELCOME SPEECH FROM

THE CHAIRMAN OF STMIK AKAKOM YOGYAKARTA The honorable,

 Prof. Yoni Nazarathy, Associate Professor at the School of Mathematics and Physics of The University of Queensland, Australia.

 Ts. Dr. Madihah Mohd Saudi, Associate Professor/CIO at Universiti Sains Islam Malaysia (USIM)

 Director General of Higher Education, Research and Technology (Prof. Ir. Nizam, M.Sc., DIC, Ph.D., IPU, Asean Eng.),

 Head of Region V Higher Education Service Institution (Mr. Bimo Widyo Handoko, S.H., M.H.)

 Chairman of Yogyakarta Widya Bakti Education Foundation and staff,

 Deputy Chancellor and Structural Officer of Universitas Teknologi Digital Indonesia,

 Representatives from IEEE Indonesia Chapter and IEEE Central,

 Researchers and conference attendees,

 Ladies and Gentlemen, Assalaamu'alaikum Wr. Wb.

May peace and health be upon us all.

First of all, let us praise the presence of God Almighty (SWT) for His blessings and grace, even though under the condition of the coronavirus pandemic, we can all still be given health and opportunity to be able to participate in the fourth iSriti international conference online.

On this occasion, allow me to express my sincere appreciation to the Keynote Speaker: Prof. Yoni Nazarathy as an Associate Professor in the School of Mathematics and Physics, The University of Queensland, Australia, and Ts. Dr. Madihah Mohd Saudi, Associate Professor/CIO at Universiti Sains Islam Malaysia (USIM), Malaysia, for willing to share his brilliant ideas and insights to present at this conference.

Dear ladies and gentlemen,

On this occasion, as the Rector of Universitas Teknologi Digital Indonesia (formerly STMIK AKAKOM) Yogyakarta, I would like to welcome you to the 2021 4th ISRITI international conference, I apologize that this year's conference is still being held online, considering that the coronavirus pandemic has not ended yet.

Alhamdulillah, although we are still dealing with the pandemic, the enthusiasm of the researchers can be seen from the number of research articles submitted to us. We accept up to 302 articles from 20 countries.

Around 114 articles are accepted and ready to be presented online in a conference forum, with the theme:

'Machine Learning for Data Science'.

As organizers of ISRITI, we are very proud and grateful for the participation of researchers who have been willing to submit their research results, to be published in this international conference. We would also like to thank the keynote speakers, and IEEE, who have trusted and supported this conference from the very beginning.

We still hope that next year, when the conditions of the coronavirus pandemic are under control, we can meet again, face to face, to hold joint scientific conferences from researchers, academics, practitioners, and the government, as well as build networks and exchange scientific information.

Finally, ladies and gentlemen,

On this occasion, I would like to express my utmost gratitude to: • The distinguished keynote speakers, who have been willing to share their valuable knowledge in this conference;

 Director General of Higher Education, Research and Technology, who has provided support in this international conference

 Head of Region V Higher Education Service Institution, for the remarks given

 The fourth ISRITI researchers who have presented and will present their research results;

 The reviewers, who have carefully reviewed the articles from the researchers;

 The moderator, who are more than willing to lead the plenary session;

 IEEE for trusting us to hold this international conference; and

 The committee and the student branch, that has been working hard to prepare for this international conference according to the plan.

(4)

nN

oN

STMIK AKAKOM

YOGYAKARTA I E

(5)

vii

THE COMMITTEE STEERING COMMITTEE

Chuan-Ming Liu (National Taipei University of Technology, Taiwan) Totok Suprawoto (STMIK AKAKOM Yogyakarta, Indonesia) Setyawan Widyarto (Universiti Selangor, Malaysia)

ORGANIZING COMMITTEE General Chair

Bambang Purnomosidi Dwi Putranto (STMIK AKAKOM Yogyakarta, Indonesia) Co-Chair

Maria Mediatrix (STMIK AKAKOM Yogyakarta, Indonesia) Secretary

Sumiyatun (STMIK AKAKOM Yogyakarta, Indonesia) Treasury

Muhammad Agung Nugroho (STMIK AKAKOM Yogyakarta, Indonesia) Program Chair

Widyastuti Andriyani (STMIK AKAKOM Yogyakarta, Indonesia) TECHNICAL COMMITTEE

Domy Kristomo (STMIK AKAKOM Yogyakarta, Indonesia) Robby Cokro Buwono (STMIK AKAKOM Yogyakarta, Indonesia) Danny Kriestanto (STMIK AKAKOM Yogyakarta, Indonesia) Luthfan Hadi Pramono (STMIK AKAKOM Yogyakarta, Indonesia) Cosmas Haryawan (STMIK AKAKOM Yogyakarta, Indonesia)

(6)

viii

TECHNICAL PROGRAM COMMITTEE

Mohd Helmy Abd Wahab Universiti Tun Hussein Onn Malaysia Malaysia Sukarya Ade Indonesian Researcher and Scientist Institute Indonesia

Hanung Adi Nugroho Universitas Gadjah Mada Indonesia

Teguh Adji Universitas Gadjah Mada Indonesia

Syed Ahmed NED University of Engineering and Technology Pakistan

Michele Albano Aalborg University Denmark

Baba Alhaji Nigerian Defence Academy Niger

Mustafa Ali Mustansiriyah University, Baghdad Iraq

Widyastuti Andriyani STMIK AKAKOM Indonesia

Gede Angga Pradiptha Institut Teknologi dan Bisnis STIKOM Bali Indonesia

Rakan Antar Northern Technical University Iraq

Eko Aribowo Ahmad Dahlan University Indonesia

Andria Arisal Indonesian Institute of Sciences Indonesia

Koichi Asatani Nankai University Japan

Ahmad Ashari Gadjah Mada University Indonesia

Azizul Azizan Universiti Teknologi Malaysia (UTM) Malaysia

Alessandro Carrega CNIT Italy

Tai-Chen Chen MAXEDA Technology Taiwan

Wichian Chutimaskul King Mongkut's University of Technology Thonburi Thailand Domenico Ciuonzo University of Naples Federico II Italy

Akhmad Dahlan Universitas Amikom Yogyakarta Indonesia

Andreas Dewald ERNW Research GmbH Germany

Ni Ketut Dewi Ari Jayanti Institute of Technology and Business STIKOM Bali Indonesia

Noriko Etani Kyoto University Japan

Edi Faizal STMIK AKAKOM Yogyakarta Indonesia

Dhomas Hatta Fudholi Universitas Islam Indonesia Indonesia

Zoohan Gani Victoria University Australia

Alireza Ghasempour University of Applied Science and Technology USA Javier Gozalvez Universidad Miguel Hernandez de Elche Spain

Gunawan Gunawan Politeknik Negeri Medan Indonesia

Ibnu Hadi Purwanto Universitas AMIKOM Yogyakarta Indonesia

Hamdani Hamdani Universitas Mulawarman Indonesia

Seng Hansun Universitas Multimedia Nusantara Indonesia

Lucia Nugraheni

Harnaningrum STMIK AKAKOM Yogyakarta Indonesia

Cosmas Haryawan STMIK AKAKOM Yogyakarta Indonesia

Su-Cheng Haw MMU Malaysia

Purwono Hendradi Universitas Muhammadiyah Magelang Indonesia

Leonel Hernandez ITSA University Colombia

Roberto Carlos Herrera Lara National Polytechnic School Ecuador

Muhamad Syamsu Iqbal University of Mataram Indonesia

Nurulisma Ismail Universiti Malaysia Perlis Malaysia

Anggun Isnawati Institut Teknologi Telkom Purwokerto Indonesia

(7)

11/17/22, 8:22 PM IEEE Xplore - Conference Table of Contents

https://ieeexplore.ieee.org/xpl/conhome/9702758/proceeding?isnumber=9702759&rowsPerPage=100&pageNumber=1 1/24

IEEE.org IEEE Xplore IEEE SA IEEE Spectrum More Sites SUBSCRIBE Cart



Create Account SUBSCRIBE

Browse Conferences >International Seminar on Resea... > 2021 4th International Seminar... 

InternationalSeminaronResearchofInformationTechnologyand IntelligentSystems(ISRITI)









Copy Persistent Link

Browse Title List



Sign up for Conference Alerts

Proceedings All Proceedings Popular

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) DOI: 10.1109/ISRITI54043.2021 16-17 Dec. 2021

Per Page:Per Page 100



^Export



Email Selected Results



Search within results  | |

Showing 1-100 of 125 Filter

sort:SortSequence



^|^{ Email}

Refine

Author



Affiliation



Quick Links Search for Upcoming Conferences IEEE Publication Recommender IEEE Author Center Proceedings

 

[Front cover]

Publication Year: 2021 , Page(s): 1 - 1



[Front cover]

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

Year: 2021



[Back cover]



[Back cover]

Year: 2021



[Copyright notice]

Publication Year: 2021 , Page(s): i - ii



[Copyright notice]



Quick Links

Search for Upcoming Conferences IEEE Publication Recommender IEEE Author Center

Proceedings

The proceedings of this conference will be available for purchase through Curran Associates.

Research of Information Technology and Intelligent Systems (ISRITI), 2021 4th International Seminar on Print on DemandPurchase at Partner



Search within Publication ADVANCED SEARCH

All





^{Browse } My Settings  Help 

Institutional Sign In



Perso Sign

(8)



Abstract HTML

 



Abstract HTML

 



Abstract HTML

 



Abstract HTML

 

Year: 2021



Fast-Recovery and Optimization Multipath Circuit Networks Environments Using Routing Policies Different

Administrative Distance and Internal BGP Hillman Akhyar Damanik

Publication Year: 2021 , Page(s): 299 - 305 Cited by: Papers (2)



Fast-Recovery and Optimization Multipath Circuit Networks Environments Using Routing Policies Different Administrative Distance and Internal BGP

Hillman Akhyar Damanik

Year: 2021



Improving Clustering Method Performance Using K-Means, Mini Batch K-Means, BIRCH and Spectral

Tenia Wahyuningrum; Siti Khomsah; Suyanto Suyanto;

Selly Meliana; Prasti Eko Yunanto; Wikky F. Al Maki Publication Year: 2021 , Page(s): 206 - 210



Improving Clustering Method Performance Using K-Means, Mini Batch K-Means, BIRCH and Spectral

Tenia Wahyuningrum; Siti Khomsah; Suyanto Suyanto;

Selly Meliana; Prasti Eko Yunanto; Wikky F. Al Maki 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

Year: 2021



Spectrum Sensing Using Adaptive Threshold Based Energy Detection in Cognitive Radio System

Budi Bayu Murti; Risanuri Hidayat; Sigit Basuki Wibowo Publication Year: 2021 , Page(s): 614 - 617

Cited by: Papers (1)



Spectrum Sensing Using Adaptive Threshold Based Energy Detection in Cognitive Radio System

Budi Bayu Murti; Risanuri Hidayat; Sigit Basuki Wibowo 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

Year: 2021



Sentiment Analysis for Twitter Chatter During the Early Outbreak Period of COVID-19

Fahed Jubair; Nesreen A. Salim; Omar Al-Karadsheh;

Yazan Hassona; Ramzi Saifan; Mohammad Abdel-Majeed Publication Year: 2021 , Page(s): 257 - 262



Sentiment Analysis for Twitter Chatter During the Early Outbreak Period of COVID-19

Fahed Jubair; Nesreen A. Salim; Omar Al-Karadsheh;

Yazan Hassona; Ramzi Saifan; Mohammad Abdel-Majeed



(9)



Abstract HTML

 



Abstract HTML

 



Abstract HTML

 



Abstract HTML

 

Year: 2021



Data Mining Using Apriori Algorithm and Linear Regression in Product Recommendations

Laurentinus; Okkita Rizan; Sarwindah; Hamidah;

Rahmat Sulaiman; Hengki



Data Mining Using Apriori Algorithm and Linear Regression in Product Recommendations

Laurentinus; Okkita Rizan; Sarwindah; Hamidah;

Rahmat Sulaiman; Hengki

Year: 2021



An Enhanced Classification of Bacteria Pathogen on Microscopy Images Using Deep Learning

Son Ali Akbar; Kamarul Hawari Ghazali; Habsah Hasan;

Zeehaida Mohamed; Wahyu Sapto Aji Publication Year: 2021 , Page(s): 119 - 123



An Enhanced Classification of Bacteria Pathogen on Microscopy Images Using Deep Learning

Son Ali Akbar; Kamarul Hawari Ghazali; Habsah Hasan;

Zeehaida Mohamed; Wahyu Sapto Aji

Year: 2021



A New Approach for ARP Poisoning Attack Detection Based on Network Traffic Analysis

Yohanes Priyo Atmojo; I Made Darma Susila;

Ida Bagus Suradarma; Lilis Yuningsih; Erma Sulistyo Rini;

Dandy Pramana Hostiadi



A New Approach for ARP Poisoning Attack Detection Based on Network Traffic Analysis

Yohanes Priyo Atmojo; I Made Darma Susila;

Ida Bagus Suradarma; Lilis Yuningsih; Erma Sulistyo Rini;

Dandy Pramana Hostiadi

Year: 2021



Improved HEVC Video Encoding Quality With Multi Scalability Techniques

Agus Purwadi; Wirawan; Suwadi



Improved HEVC Video Encoding Quality With Multi Scalability Techniques

Agus Purwadi; Wirawan; Suwadi

Year: 2021



(10)



Abstract HTML

 



Abstract HTML

 



Abstract HTML

 



^Abstract ^HTML

 

Design and Implementation of Post-Detection of Denial of Service (DoS) as a Mitigation System (PDDMS) Based on Dynamic Access Control List Algorithm

Adian Fatchur Rochim; Fahmi Maghrizal Mochtar; Adnan Fauzi Publication Year: 2021 , Page(s): 29 - 34



Design and Implementation of Post-Detection of Denial of Service (DoS) as a Mitigation System (PDDMS) Based on Dynamic Access Control List Algorithm

Adian Fatchur Rochim; Fahmi Maghrizal Mochtar;

Adnan Fauzi

Year: 2021



Performance Comparison of Support Vector Machine Kernel Functions in Classifying COVID-19 Sentiment

Adian Fatchur Rochim; Khoirunisa Widyaningrum; Dania Eridani Publication Year: 2021 , Page(s): 224 - 228



Performance Comparison of Support Vector Machine Kernel Functions in Classifying COVID- 19 Sentiment

Adian Fatchur Rochim; Khoirunisa Widyaningrum;

Dania Eridani

Year: 2021



NFR Classification using Keyword Extraction and CNN on App Reviews

Taufik Hidayat; Siti Rochimah



NFR Classification using Keyword Extraction and CNN on App Reviews

Taufik Hidayat; Siti Rochimah

Year: 2021



Tableware Ceramics Defect Detection Using Morphological Operation Approach

Novita Rahmayuna; Kusworo Adi; Retno Kusumaningrum Publication Year: 2021 , Page(s): 412 - 416



Tableware Ceramics Defect Detection Using Morphological Operation Approach

Novita Rahmayuna; Kusworo Adi; Retno Kusumaningrum 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

Year: 2021



Similarity Normalized Euclidean Distance on KNN Method to Classify Image of Skin Cancer

Arif Ridho Lubis; Santi Prayudani; Al-Khowarizmi;

Yuyun Yusnida Lase; Yulia Fatmi Publication Year: 2021 , Page(s): 68 - 73



(11)



^Abstract ^HTML

 



Abstract HTML

 



Abstract HTML

 



Abstract HTML

 

Year: 2021



Detection of Covid-19 Based on Lung Ultrasound Image Using Convolutional Neural Network Architectures Chastine Fatichah; Muhammad Fadhlan Min Robby;

Shintami Chusnul Hidayati; Tanzilal Mustaqim Publication Year: 2021 , Page(s): 155 - 160



Detection of Covid-19 Based on Lung Ultrasound Image Using Convolutional Neural Network Architectures

Chastine Fatichah; Muhammad Fadhlan Min Robby;

Shintami Chusnul Hidayati; Tanzilal Mustaqim

Year: 2021



ENT Randomness Test on DM-PRESENT-80 and DM- PRESENT-128-based Pseudorandom Number Generator Bety Hayat Susanti; Jimmy Jimmy; Mareta W. Ardyani Publication Year: 2021 , Page(s): 324 - 328



ENT Randomness Test on DM-PRESENT-80 and DM-PRESENT-128-based Pseudorandom Number Generator

Bety Hayat Susanti; Jimmy Jimmy; Mareta W. Ardyani 2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

Year: 2021



Filter Selection and Feature Extraction to Distinguish Types of CT Scan Images

Oky Dwi Nurhayati; Bayu Surarso Publication Year: 2021 , Page(s): 80 - 85



Filter Selection and Feature Extraction to Distinguish Types of CT Scan Images

Oky Dwi Nurhayati; Bayu Surarso

Year: 2021



Sensor Placement Strategy to Detect Corrosion in Water Distribution Networks

Ary Mazharuddin Shiddiqi; Deddy Aditya Pramana;

Royyana Muslim Ijtihadie; Tohari Ahmad; Hudan Studiawan;

Bagus Jati Santoso; Baskoro Adi Pratomo Publication Year: 2021 , Page(s): 35 - 40



Sensor Placement Strategy to Detect Corrosion in Water Distribution Networks

Ary Mazharuddin Shiddiqi; Deddy Aditya Pramana;

Royyana Muslim Ijtihadie; Tohari Ahmad; Hudan Studiawan;

Bagus Jati Santoso; Baskoro Adi Pratomo

Year: 2021



Eye Tracking and Head Movement-Orientation Solution

Design To Perceive People's Mind While Seeing COVID-19



(12)

Design and Implementation of Post-Detection of Denial of Service (DoS) as a Mitigation System (PDDMS) Based on Dynamic Access Control List

Algorithm

Adian Fatchur Rochim Department of Computer Engineering,

Faculty of Engineering Universitas Diponegoro Semarang 50275, Indonesia

[email protected]

Fahmi Maghrizal Mochtar Department of Computer Engineering,

Faculty of Engineering Universitas Diponegoro Semarang 50275, Indonesia [email protected]

Adnan Fauzi

Department of Computer Engineering, Faculty of Engineering Universitas Diponegoro Semarang 50275, Indonesia

[email protected]

Abstract— Computer networking maintenance and

monitoring have been essential things. A human administrator could not monitor the whole resources for 24 hours and take action directly in inactive hours when an incident occurs.

Automating the network appliance with the integration of an attack detection system could help solve the problem. This study mainly focuses on mitigating network attacks using the Dynamic Thresholding algorithm as a detection and mitigation system based on network automation using the Dynamic Access Control List algorithm. The data used for this research is self- generated in a virtual environment and a mitigation system written in Python to automate the router configuration through REST API. Prototype of the mitigation system, namely post- detection of DoS as a Mitigation System (PDDMS). The system testing phase results show that the mitigation system has an average of 1.57 seconds response time to configure ACL for one router. The implementation evaluated using Confusion Matrix shows 0% results of True-Positive Rate in the generated dataset, with 23.01% of accuracy and no positive results detected, which resulted in no response taken by mitigation system.

Keywords— Computer Network, Network Automation, DoS Mitigation, Mitigation System, RESTful API

I. I

NTRODUCTION

Computer networking maintenance and monitoring have been crucial points in terms of resource management. Mainly, an experienced network administrator who has a responsibility for this would take action directly. A human network administrator does not have a 24-hour endurance to monitor and handle a single activity if an action needs to be taken precisely and immediately when a critical event occurs.

A mitigation system is required to solve this problem.

Security aspects are also considered when it comes to defending existing resources. The ever-existing attacks in networking need to be mitigated. Cisco stated that cyber- attacks such as Distributed Denial of Service would likely increase to 15.4 million globally [1].

The evolving networking automation technologies lead to network automation, improving management capabilities of the network appliances in an infrastructure. Prior research [2][3] has successfully implemented an automation system for network appliances. However, those research only apply essential network configuration functions, such as interface IP address configuration, routing, backup, and restore configuration features. Moreover, those research does not

implement either the security measures, or the security management system to protect the network resources. An automated system that could take a role in preventing or mitigating attacks might address the issue [4].

Aziz et al., in 2019, explained how ELK Stack that consists of Elasticsearch, Logstash, and Kibana used in large- scale infrastructure as a logging monitoring system, which stores data consists of logs of network appliances in the managed network [5].

Rafi et al., in 2020, explained how multiple Cisco CSR1000v routers could be configured and managed by automating it through a RESTful API using an application written in Python as a tool to configure those devices [2]. The application can manage the device configuration through a Django web-based interface, replacing the command line interface-based configuration for quicker usability.

Ramprasath et al., in 2021, stated how ingress filtering works for mitigating DDoS attacks in a Software-defined network by dynamically configuring access control lists in OpenFlow switches [6], which is called by the Dynamic Access Control List algorithm. The system uses ACL policies to mitigate the traffic by generating new rules if the detection system detects any positive DDoS attacks.

Yadav et al., in 2018, explained that the Access Control List configuration could be implemented on Cisco routers as a solution to mitigate DDoS attacks by configuring Access Control Lists in the router to filter connections based on IP addresses so it could prevent attack connections from other networks [7].

David et al., in 2019, explained how the Dynamic Thresholding algorithm could be used to analyze and detect DoS attacks [8]. This method compares the aggregation results of four attributes in the header of each packet entering the network by calculating the moving average and moving variance for each specific time interval. The advantage of this method is the lower consumption of computational resources than other variants of Anomaly-based methods, such as the ARIMA model and chaos theory [9] or the Machine Learning model [10].

This study aims to expand prior research, mainly the network automation system, by building a DoS attack mitigation system by implementing existing methods.

29

Authorized licensed use limited to: Cisco. Downloaded on November 11,2022 at 02:03:33 UTC from IEEE Xplore. Restrictions apply.

(13)

11/17/22, 8:16 PM Sentiment Analysis for Twitter Chatter During the Early Outbreak Period of COVID-19 | IEEE Conference Publication | IEEE …

https://ieeexplore.ieee.org/document/9702837/authors#authors 1/3

IEEE.org IEEE Xplore IEEE SA IEEE Spectrum More Sites SUBSCRIBE

MoreLikeThis

2019-nCoV Disease Control and

Rehabilitation: Insights from Twitter Analytics 2020 5th International Conference on Computing, Communication and Security (ICCCS)

Published: 2020

Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classiﬁcation in Tweets of Dengue Disease IEEE Access

Published: 2020

ShowMore Cart



Conferences > 2021 4th International Semina... 

Fahed Jubair ; Nesreen A. Salim ; Omar Al-Karadsheh ; Yazan Hassona ; Ramzi Saifa… All Authors

Sentiment Analysis for Twitter Chatter During the Early Outbreak Period of COVID-19

Publisher: IEEE Cite This



PDF

57 Full Text Views





^ ^

Alerts

Manage Content Alerts

Add to Citation Alerts



Abstract

Document Sections I. Introduction II. Materials and

Methods III. Results IV. Main Findings

and Conclusions

Authors

Figures

References

Keywords

Metrics

Abstract:

This study presents the findings of applying sentiment analysis on a corpus of seven million unique English tweets collected from March 26, 2020 to April 9, 2020 about the COVID-19 outbreak. First, an off-the-shelf lexicon-based sentiment analysis tool was used to determine sentiment polarity in each tweet.

Then, an off-the-shelf text visualization tool was used to visualize the most frequent emotions and topics that showed positive and negative sentiments.

The study revealed meaningful insights about which positive and negative emotion types were most prominent on Twitter chatter during the early period of the COVID-19 pandemic, and which topics garnered the most positive and negative emotional reactions. This work shows that analyzing social media chatter using sentiment analysis and text visualization tools is an effective approach for tracking people's concerns and mental health during pandemics and infectious diseases outbreaks.

Date of Conference: 16-17 December 2021

INSPEC Accession Number:

21738264

 ADVANCED SEARCH

All





Institutional Sign In



Perso Sign

(14)

11/17/22, 8:16 PM Sentiment Analysis for Twitter Chatter During the Early Outbreak Period of COVID-19 | IEEE Conference Publication | IEEE …

Authors



Date Added to IEEE Xplore: 11 February 2022



ISBN Information:

DOI:

10.1109/ISRITI54043.2021.9702837 Publisher: IEEE

Conference Location: Yogyakarta, Indonesia

Fahed Jubair

Computer Engineering Department, The University of Jordan, Amman, Jordan

Nesreen A. Salim

Prosthodontics Department, The University of Jordan, Amman, Jordan

Omar Al-Karadsheh

Oral and Maxillofacial Surgery Department, The University of Jordan, Amman, Jordan

Yazan Hassona

Medicine and Special Care Department, The University of Jordan, Amman, Jordan

Ramzi Saifan

Mohammad Abdel-Majeed

I. Introduction

Twitter is a microblogging social network, where users can post public messages (tweets) with up to 280 characters. Twitter has around 330 million users, and around 500 million tweets are posted every day. Due to its immense popularity, Twitter has been recognized by healthcare researchers as an important resource for knowledge exchange regarding social interaction over pandemic-related topics during epidemics and infectious diseases [1], [2]. For example, during the 2017 Avian Influenza outbreak, Yousefinaghani et al observed that one-third of the outbreak notifications were reported on Twitter before the reports were made official [3]. Odlum and Yoon have reported that, within three days of the first CDC announcement of the Ebola outbreak in 2014, the number of tweets regarding Ebola have gone up by sixty-three times the initial number of tweets [4].

Sign in to Continue Reading

Fahed Jubair

Nesreen A. Salim

Prosthodontics Department, The University of Jordan, Amman, Jordan

Omar Al-Karadsheh

Oral and Maxillofacial Surgery Department, The University of Jordan, Amman, Jordan

Yazan Hassona

An Enhanced Classification of Bacteria Pathogen on Microscopy Images Using Deep Learning

Publisher: IEEE Cite This



PDF

60 Full Text Views





^ ^

Alerts



Abstract

Document Sections I. Introduction II. Methodology III. Experiments IV. Conclusion

Acknowledgment

Authors

Figures

References

Keywords

Metrics

Abstract:

Classification of bacteria pathogens has significant importance issues in the clinical microbiology field. The taxonomy identification of bacteria is usually recognized through microscopy imaging. The classical procedure has the lacks detection and a high misclassification rate. Recently, computer-aided detection is an applied deep learning approach that has been growing to improve classification quality. This study proposed an enhanced classification technique to recognize the bacterial pathogen images. The DensNet201 pre-trained CNN architecture has been used for deep feature extraction and classification. In addition, the transfer learning with the freeze layer technique applied can enhance the accuracy performance and reduce the false-positive rate. The experimental result can improve state-of-the-art decision-making.

INSPEC Accession Number:

21721979 DOI:

10.1109/ISRITI54043.2021.9702809

All





Institutional Sign In



Perso Sign

(16)

11/17/22, 8:16 PM An Enhanced Classification of Bacteria Pathogen on Microscopy Images Using Deep Learning | IEEE Conference Publicatio…

Authors



Figures





ISBN Information: Publisher: IEEE

Son Ali Akbar

Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia, Pahang, Malaysia

Dept. Electrical Engineering, Universitas Ahmad Dahlan, Indonesia

Kamarul Hawari Ghazali

Habsah Hasan

School of Medical Sciences, Universiti Sains Malaysia, Malaysia

Zeehaida Mohamed

Wahyu Sapto Aji

I. Introduction

Bacterial is a microscopic organism that can live in various environments, both inside and outside the human body (such as soil, river water, and seawater). Different bacteria organisms are also divided into beneficial or harmful species. Numerous valuable bacterial species are used as product ingredients, such as foods, drugs, and several fermentation processes. Meanwhile, dangerous bacterial species can infect the human body and cause bacterial infectious diseases, such as it can infect the bloodstream [1]. Therefore, that is the most critical issue for microbiologists in medical diagnosis to classify pathogenic bacteria.

Son Ali Akbar

Kamarul Hawari Ghazali

Habsah Hasan

Zeehaida Mohamed

Wahyu Sapto Aji

Dept. Electrical Engineering, Universitas Ahmad Dahlan, Indonesia Contents

(17)

11/17/22, 8:17 PM Eye Tracking and Head Movement-Orientation Solution Design To Perceive People's Mind While Seeing COVID-19 Advertis…

MoreLikeThis

Wearable Computing for Internet of Things: A Discriminant Approach for Human Activity Recognition

IEEE Internet of Things Journal Published: 2019

Exploring the Inﬂuence of Noise in Speech Emotion Recognition Devices for Internet of Thing

2020 IEEE International Conference on Energy Internet (ICEI)

Published: 2020

ShowMore Cart



Maria Seraphina Astriani ; Lee Huey Yi ; Andreas Kurniawan All Authors

Eye Tracking and Head Movement-Orientation Solution Design To Perceive People's Mind While Seeing COVID- 19 Advertisements

Publisher: IEEE Cite This



PDF

35 FullText Views





^ ^

Alerts



Abstract

Document Sections I. Introduction II. Related Works III. Proposed

Solution IV. Results and

Discussion V. Conclusion

Authors

Figures

References

Keywords

Metrics

Abstract:

Knowing what's on someone's mind might be challenging because only that person knows what's on their mind. COVID-19 advertisements are public service announcements, which raise public awareness of the issues occurred.

A solution is needed to be able to find out what kind of advertisements attract someone to be memorized and to make COVID-19 advertisements even better.

It is difficult to get the information in people's mind when they see the COVID- 19 advertisement, a method and tools are needed to be able to mine the information which represent the human mind. We proposed the solution design based on Internet of Things (IoT) by using glasses to detect and record eye movements by using heat map. Accelerometer and gyroscope embedded in glasses are also needed to capture the head movement-orientation to perceive the gaze information to find out the pattern which COVID-19 advertisements can attract their attention to be memorized.

INSPEC Accession Number:

21722019

All





Institutional Sign In



Perso Sign

(18)

11/17/22, 8:17 PM Eye Tracking and Head Movement-Orientation Solution Design To Perceive People's Mind While Seeing COVID-19 Advertis…

IEEE Personal Account CHANGE

USERNAME/PASSWORD

Purchase Details

PAYMENT OPTIONS VIEW PURCHASED DOCUMENTS

Proﬁle Information COMMUNICATIONS PREFERENCES PROFESSION AND EDUCATION

TECHNICAL INTERESTS

Need Help?

US & CANADA: +1 800 678 4333

WORLDWIDE: +1 732 981 0060

CONTACT & SUPPORT

Follow

  

Authors



Figures



References



Keywords



Metrics





ISBN Information:

DOI:

10.1109/ISRITI54043.2021.9702852 Publisher: IEEE



Funding Agency:

Maria Seraphina Astriani

Computer Science Department, Faculty of Computing and Media, Bina Nusantara University, Jakarta, Indonesia

Lee Huey Yi

Neuroscience Business School, Barcelona, Spain

Andreas Kurniawan

I. Introduction

Knowing what's on someone's mind might be difficult and challenging because only that person knows what's on their mind. Humans use eyes to see. The images obtained from this vision are processed by the brain to think in order to produce information, to learn something, or to help someone make decisions.

Maria Seraphina Astriani

Lee Huey Yi

Neuroscience Business School, Barcelona, Spain

Andreas Kurniawan