Organized by
Department of Information Technology College of Engineering and Technology SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
Ramapuram, Chennai - 600 089 www.srmrmp.edu.in
RAMAPURAM
AICTETRAININGANDLEARNINGACADEMY(ATAL)
ONEWEEKFACULTYDEVELOPMENTPROGRAM
MACHINELEARNINGFOR
CYBERSECURITY
Sponsored on
CHIEF PATRONS
ELIGIBILITY CRITERIA
HOW TO APPLY?
Dr. R. Shivakumar, Chairman
SRM Group of Institutions, Chennai Ramapuram & Trichy
SRM Group of Institutions, Chennai Ramapuram & Trichy Mr. S. Niranjan, Co-Chairman
PATRONS
ORGANIZING COMMITTEE COORDINATOR
CO-COORDINATOR
Dr. N. Sethuraman, Chief Director
SRM Group of Institutions, Chennai Ramapuram & Trichy
Dr. B. Dwarakanath, Associate Professor Dr. R. Kavitha, Associate Professor
Dr. P. Santhosh Kumar, Associate Professor Dr. M. Latha, Associate Professor
Dr. R. M. Rani, Assistant Professor(Sl.G) Ms. B. Sathya Bama, Assistant Professor Dr. R. Deeptha, Assistant Professor Dr. K. Danesh, Assistant Professor Mr. S. Subburaj, Assistant Professor Ms.B. Aishwarya, Assistant Professor
Ms. S. Preethi Parameswari, Assistant Professor Mr. S. Sudharsanan, Assistant Professor
Ms. R. Kiruthiga, Assistant Professor Dr. K. V. Narayanan, Associate Director Chennai Ramapuram
Dr. M. Murali Krishna, Dean (CET), Ramapuram Dr. G. Prabhakaran, Vice Principal, Academics Dr. Ballika J Chelliah, Vice Principal, Admin
Dr. Rajeswari Mukesh, Professor and Head / IT
Dr. R. Mythili, Assistant Professor (Sl. G). / IT The faculty members of the AICTE approved
institutions, research scholars, PG Scholars, and participants from Government or industries can attend.
Online apply at ATAL portal at https://atalacademy.aicte-india.org/
No Registration Fee : ( Limited 50 seats) Mode of Delivery : OFFLINE
Requirements to get ATAL Certificate
Minimum 80% attendance is required for the whole course.
Minimum 60% marks should be obtained in the Final test to be conducted at the end of FDP.
COURSE CONTENTS
Machine Learning insights of Cybersecurity
B u i l d i n g a m a c h i n e l e a r n i n g m o d e l - L i v e Demonstration
Cybersecurity Essentials for Data-Driven Network Analyze internet network traffic using unsupervised learning techniques - Live Demonstration
Adversarial Machine Learning (AML)
E v a d i n g i n t r u s i o n /a t t a c k d e t e c t i o n – L i v e Demonstration
Data-Driven Cybersecurity Triads Building
A model to detect fraudulent accounts leveraging virtual case study
Secure Machine Learning Application Development &
Deployment
Machine Learning Application development for Real time Cybersecurity problems
Cybersecurity Tools & Certifications
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20 November 2023 to 25 November 2023
ABOUT THE FDP
COURSE OBJECTIVE ABOUT INSTITUTION
VISION
VISION
MISSION MISSION
ABOUT THE DEPARTMENT
SRM Institute of Scienc e and Te chnolo gy, Ramapuram formerly known as SRM University, Ramapuram is one of the top-ranking universities in India with over 20,000 students and 1,500 faculty, offering a wide range of Undergraduate, P o s t g r a d u at e a n d D o c t o r a l p r o g r a m s i n Engineering, Management, Medicine and Health Sciences, Science and Humanities. Foreign faculty, flexible and dynamic curriculum, exciting research and global connections are some of the salient landscapes that set SRM apart.
To emerge as a World - Class University in creating and disseminating, and providing students a unique learning experience in Science, Technology, Medicine, Management, other areas of scholarship that will best serve the world and mankind.
To nurture us globally recognizable department in imparting the students high quality education and providing high confidence, unique knowledge and research experience in the field of Networking, C y b e r S e c u r i t y, Fo r e n s i c s , I n f o r m at i o n Technology, cognitive computing and internet of things.
MOVE UP through international alliance and c ollab orative initiatives to achieve global excellence. ACCOMPLISH A PROCESS to advance knowledge in a rigorous academic and research environment. ATTRACT AND BUILD PEOPLE in a rewarding and inspiring environment by fostering f r e e d o m , e m p o w e r m e n t , c r e at i v i t y a n d innovation.
To provide the world class IT professionals with appropriate industry and res earch bas e d curriculum. To train the students in such a way that leads to entrepreneurship and develop societal need based industries. To nourish the students as socially responsible professionals by p ro v i d i n g t h e m t ra i n i n g i n p e r s o n a l i t y development, ethics and leadership program.
The Department of Information Technology at the SRMIST, Ramapuram Campus was established in the year 2005. The department offers the programmes of B.Tech IT and Ph.D (FT & PT). The undergraduate program aims to prepare the students for the challenges that they will face as professionals in IT and ITES industries. As an academic dis cipline, B.Te ch IT fo cus es on imparting education to the students that will help them to meet the needs of users through selection, c r e a t i o n , a p p l i c a t i o n , i n t e g r a t i o n a n d administration of computing technologies.
The course has been designed to give an extensive overview of machine learning algorithms and models for Cyber Security problems such as malware analysis, intrusion detection, spam filtering, fraud detection, online behavior analysis etc. Also, aims at getting basic hands-on experience with supervised, unsupervised learning methods and understanding basic theory of adversarial machine learning, developing tools for cyber defense acts using machine learning.
At the end of FDP program, Learners will be able to
The program aims at giving an extensive overview of machine learning algorithms and models for Cyber Security problems such as malware analysis, intrusion detection, spam filtering, fraud detection, online behavior analysis etc. Also, aims at getting basic hands- on experience with supervised, unsupervised learning methods and understanding basic theory of adversarial machine learning, developing tools for Cyberdefense acts using machine learning.
Apply and develop a secure machine learning model for Cyber Security problems
Demonstrate and work on popular Cyberdefense tools
Aware of Adversarial Machine Learning (AML)
OUTCOMES
Coordinator
Dr. Rajeswari Mukesh Professor and Head / IT Mob: +91 9444269921 [email protected] [email protected]
Co - Coordinator Dr. R. Mythili
Assistant Professor (Sl. G) Mob: +91 9884006335 [email protected]
12:00 – 1:00 Article Discussion
1:00 – 2:00 Lunch
Session 1 : 9:30 – 12:00 Supervised learning models, Unsupervised
learning models Dr. V. Masilamani,
Associate Professor/CSE, IIIT(D&M), Kanchipuram.
Inauguration : 9:00 – 9:30 Mr. Sriram Chatty,
Chief Digital & Technology Officer Tata Consultancy Services,
Mumbai.
Day 1 > 20-Nov-2023 Monday
Day 2 > 21-Nov-2023 Tuesday
Day 3 > 22-Nov-2023 Wednesday
Day 4 > 23-Nov-2023 Thursday
Day 5 > 24-Nov-2023 Friday
Day 6 > 25-Nov-2023 Saturday
Session 2 : 2:00 – 4:30 Implementation of NEP
2020 Education Policy Dr. N. Ashokan,
Professor & HOD/Physics, SRMIST, Ramapuram,
Chennai.
Session 3 : 9:30 – 12:00 Internet architecture &
Cybersecurity Mr. Senthilkumar
Global Practice Head-CSA &
Practice Partner-Cloud Security, S&R Practice @ Wipro, USA
Session 4 : 2:00 – 4:30 Network Security Applications of machine
learning Dr. R. Rathna
Associate Professor/SCOPE, VIT, Chennai.
Session 5 : 9:30 – 12:00 Introduction to AML, Threat
models, Defending against adversaries
Mr.Bharani Ramasamy,
Senior Director, Global Networks and Security, Virtusa Corporation, Chennai.
Session 6 : 2:00 – 4:30 Stress Management Dr. V. Smitha Ruckmani,
Professor & Head, Department of Clinical Psychology, Institute of Mental Health, Kilpauk,
Chennai.
Session 7 : 9:30 – 12:00 Data-Driven Cybersecurity
Triads, Responsible data lifecycles
Dr. B. Muthukumaran,
VP, Cybersecurity HTC Global Services, Chennai.
Session 9 : 2:00 – 4:30 Cyber-attacks and Machine
Learning, Cyber defense Tools
Mr. Ashok Sharma,
Founder & Chief Technology Officer, PurpleSynapz Research
Labs Pvt. Ltd., Bangalore.
Session 8 : 2:00 – 4:30 Research Avenues in Cybersecurity and Machine
Learning
Dr. Rajeswari Mukesh,
Professor & Head/IT, SRMIST, Ramapuram, Chennai.
9:30 – 1:00
Industrial Visit to Alibi Technologies
Pvt. Ltd.,
Cyber Forensics &
Digital Investigation Chennai.
Session 10 : 9:30 – 12:00 Certification courses on
Cybersecurity with Machine Learning Mr. S. Guru Prasad,
Director, Cybertracs Technologies
& Research Pvt. Ltd, Bangalore.
2:00 – 4:300 MCQ,
Feedback& Interactions.
1:00 – 2:00 Lunch
1:00 – 2:00 Lunch
1:00 – 2:00 Lunch
1:00 – 2:00 Lunch
1:00 – 2:00 Lunch 12:00 – 1:00
Article Discussion
12:00 – 1:00 Article Discussion
12:00 – 1:00 Article Discussion
12:00 – 1:00 Reflection Journal
4:30 – 5:30 4:30 – 5:30 4:30 – 5:30 4:30 – 5:30 4:30 – 5:30
4:30 – 5:30 Practical session Practical session Practical session Practical session Practical session
Valedictory Session Analyze internet network
traffic using unsupervised learning techniques
Evading intrusion/attack detection – Live
Demonstration
Building a model to detect fraudulent accounts leveraging virtual case study
Case Studies on Secure ML Development & Deployment Building a machine
learning model - Live Demonstration
One Week AICTE Sponsored ATAL FDP on
“MACHINE LEARNING FOR CYBERSECURITY”
th th
From 20 November 2023 to 25 November 2023
SESSION SCHEDULE Offline (9:30 am – 5:30 pm)
Mr. Sylesh & Team from Alibi Technologies
