Theme: Machine Learning for Cybersecurity
Scheme: AICTE Training and Learning Academy (ATAL) Technical FDPs 2023-2024
Organised By: SRM Institute of Science and Technology, Ramapuram, Chennai
Duration: 20th – 25th November 2023
Chief Guest:
Mr. Srikanth Valuthur,
Hybrid Cloud Platform Services Leader-APAC, IBM, Chennai.
Total Number of Faculty Participants: 36
Objectives
At the end of FDP program, Learners will be able to Apply and develop a secure machine learning model for Cyber Security problems, Demonstrate and work on popular Cyber defense tools and Awareness of Adversarial Machine Learning (AML) and act accordingly.
Resource Persons
| S. No | Date/Session | Name and designation of the resource person | Session Topics |
| 1. | 20-Nov- 2023/FN | Dr. V. Masilamani, Associate Professor/CSE, IIIT(D&M), Kanchipuram | Supervised learning models, Unsupervised learning models |
| 2. | 20-Nov- 2023/AN | Dr. N. Ashokan, Professor & HOD/Physics, SRMIST, Ramapuram, | Implementation of NEP 2020 Education Policy |
| 3. | 21-Nov- 2023/FN | Mr. Senthil kumar, Global Practice Head-CSA & Practice Partner-Cloud Security, S&R Practice @ Wipro, USA | Internet architecture & Cybersecurity |
| 4. | 21-Nov- 2023/AN | Dr. R. Rathna, Associate Professor/SCOPE, VIT Chennai | Network Security Applications of machine learning |
| 5. | 22-Nov- 2023/FN | Mr.Bharani Ramasamy, Senior Director, Global Networks and Security, Virtusa Corporation, Chennai | Introduction to AML, Threat models, Defending against adversaries |
| 6. | 23-Nov- 2023/AN | Dr. Rajeswari Mukesh, Professor & Head/IT, SRMIST, Ramapuram, Chennai | Research Avenues in Cybersecurity and Machine Learning |
| 7. | 23-Nov- 2023/FN | Dr. B. Muthukumaran, VP, Cybersecurity HTC Global Services, Chennai | Data-Driven Cybersecurity Triads, Responsible data lifecycles |
| 8. | 22-Nov- 2023/AN | Dr. V. SmithaRuckmani, Professor & Head, Department of Clinical Psychology, Institute of Mental Health, Kilpauk, | Stress Management |
| 9. | Industrial Visit & All Days | Mr. Sylesh, Alibi Technologies | All Practical Sessions (CS Tools) |
| 10 | 24-Nov- 2023/AN | Mr. Ashok Sharma, Founder & Chief Technology Officer, PurpleSynapz Research Labs Pvt. Ltd., Bangalore. | Cyber-attacks and Machine Learning, Cyber defense Tools |
| 11 | 25-Nov- 2023/FN | Mr. S. Guru Prasad, Director, Cybertracs Technologies & Research Pvt. Ltd, Bangalore. | Certification courses on Cybersecurity with Machine Learning |
Day 1
INAUGURAL FUNCTION
Department of IT has organised INAUGURAL of AICTE Sponsored One Week ATAL FDP on MACHINE LEARNING FOR CYBERSECURITY on 20th November 2023, 9am at Gallery Hall 1, Block V.
Dr.K.V.Narayanan, Associate Director, SRM Group of Institutions, Ramapuram, Dr.M.Murali Krishna, Dean(CET), SRMIST, Ramapuram, Dr.V. Ballika J. Chelliah, Vice Principal(Admin), Dr. Rajeswari Mukesh, HOD/IT, Dr.K.Raja, HOD/CSE, Mr. Srikanth Valuthur, Hybrid Cloud Platform Services Leader-APAC, IBM, Chennai and Faculty members from various Engineering Colleges across the country have graced the occasion.
The event started with Tamizh Thai Vazhthu, and Lighting of Kuthuvizhaku.
Dr. Rajeswari Mukesh, HOD/IT has delivered the Welcome address. She welcomed all the dignitaries and greeted the gathering. CoCoordinator of the event, Dr.R.Mythili has explained the major objectives of FDP, Schedule and ATAL certification criteria. Dr.M.Murali Krishna, Dean(CET) has felicitated the gathering with his Felicitation address mentioning Significance of Cybersecurity and Machine Learning. Dr.K.V.Narayanan, Associate Director, has delivered his Felicitation address, mentioning Faculty Enrichment activities and Outcomes. Mr. Srikanth Valuthur, Hybrid Cloud Platform Services Leader- APAC, IBM, Chennai has delivered the Inaugural address mentioning Applications of Machine Learning for Threat Modeling, Analysis and Prediction.
The event is ended with expressing gratitude to all those who involved in organising successfully the ATAL FDP.
Inaugural Function
Topic: Supervised, Unsupervised Learning Models
Resource Person: Dr.Masilamani, Associate Professor, IIITDM, Kancheepuram Key Points Discussed:
Machine Learning Needs
Supervised, Unsupervised, Semisupervised, Reinforcement Learning
Classification, Regression
Deep Learning
Case Study
Afternoon – Session 2
Topic: Implementation of NEP 2020 Education Policy
Resource Person: Dr.N.Ashokan, Professor & HOD/Physics, SRMIST, Ramapuram Key Points Discussed:
National Higher Education Qualification Framework (NHEQF)
Multiple Entry and Exit programme
Academic Bank of Credits
Online Learning/Courses
Outcome Based Education
Effective Teaching Pedagogical approaches
Day 1 – Practical Session
Topic: Data Preprocessing, Missing Value Interpretation using Python Scikit Learn Package
Resource Person: Mr.Prateek, Alibi Technologies, Chennai
Day 2/FN – Session 3
Topic: Internet Architecture & Cybersecurity Resource Person:
Mr. Senthil Kumar, Global Practice Head-CSA & Practice Partner-Cloud Security, S&R Practice, Wipro
Key Points Discussed:
Structures & Layers
Protocols & Ruleset
Process & Framework
Cyber Trends & Evolution
Internet Cybersecurity Architecture
Security & Future Skills
Day 2/AN – Session 4
Topic: Network Security Applications of Machine Learning
Resource Person: Dr. R. Rathna, Associate Professor, SCOPE, VIT, Chennai.
Key Points Discussed:
Network Protocols & Cybersecurity
Network Attacks
Supervised, Unsupervised Learning, Neural Networks Algorithms
Machine Learning Algorithms- WEKA Simulation
Optimization of ML algorithm results
ML applications in Wireless Sensor Networks
Current Research Avenues
Day 2 – Practical Session
Topic: Pcap analysis and code implementation using Python Resource Person: Mr.Prateek, Alibi Technologies, Chennai
Day 3
Forenoon – Session 5
Topic: Introduction to Adversarial Machine Learning (AML), Threat models, Defending against adversaries
Resource Person: Mr. Bharani Ramasamy, Senior Director, Global Networks and Security, Virtusa Corporation, Chennai
Key Points Discussed:
Zero Trust Model
Smart ChatGPT
Types of ML adversarial search
Cyberstats
Role of ML in cybersecurity,
Predictive Analysis
Github crawling technology
Dark web writing
Dark web sanitization
Afternoon – Session 6
Topic: Research Avenues in Cyber security and Machine Learning
Resource Person: Dr. Rajeswari Mukesh, Professor & Head/IT, SRMIST, Ramapuram
Key Points Discussed:
Spam Detection – ML approaches
Word Embedding
Dark Web Threat Intelligence
Machine Learning Applications
Generative adversarial network
Attribution model accuracy
Stage model
Malware/Ransomware Detection
Current Research Avenues
Case Studies: Malware Detection system using Deep Learning approach, Vulnerability Assessment
Day 3 – Practical Session
Topic: Intrusion Detection System-File tracing and identifying the specifications and breaches using Python
Resource Person: Mr.Prateek, Alibi Technologies, Chennai
Day 4
Forenoon – Session 7
Topic: Data-Driven Cyber security Triads, Responsible data lifecycles
Resource Person: Dr. B. Muthukumaran, GM, Cybersecurity Consultant, HTC- ITMR, Chennai
Key Points Discussed:
Data Driven Cybersecurity
Data Governance
Critical Infrastructure & Cyber attacks
Cyber threats & Modelling
Probabilistic Risk Assessment
Bow tie analysis
Attack Tree Analysis
Cyber threat intelligence
Afternoon – Session 8 Topic: Stress Management Resource Person:
Dr. V. Smitha Rukumani, Professor & Head, Department of Clinical Psychology, Institute of Mental Health, Kilpauk, Chennai.
Key Points Discussed:
Mental Health
Emotional Diversion
Stress as a booster agent
Stress of College Students
Stress & Physiological Changes
Stress Levels & Impact
Positive & Negative Self Esteem
Stress Interaction Model
Day 4 – Practical Session
Topic: Threat Detection in Social Media
Resource Person: Mr.Prateek, Alibi Technologies, Chennai.
Day 5
Forenoon – Industrial Visit to ALIBI TECHNOLOGIES, Cyber Forensics & Digital Investigation, Chennai
Theme: Cyber Forensic Investigation Key Learnings:
By: Mr. Smijith & Team
Hard disk Forensic Investigation-MAGNET.AI tool
Mobile Forensic Investigation-CELLEBRITE UFED 4 PC tool
Afternoon – Session 9
Topic: Cyber-attacks and Machine Learning, Cyber defense Tools
Resource Person: Mr. Ashok Sharma, Founder, Purple Synapz Research Labs Pvt. Ltd., Bangalore.
Key Points Discussed:
Holistic View of Cyberdefense
Cyberdefense in Deprh
Zero Trust Model
Purple Cyber Defense Model
PurpleRangeLab Environment
PurpleBox Application -Live Demo
Day 6
Mr. Ashok Sharma, Purple Synapse, Bengaluru
Forenoon – Session 10
Topic: Certification courses on Cyber security with Machine Learning Resource Person:
Mr. Guruprasad, Director, Cybertracs Technologies & Research Pvt. Ltd, Bengaluru.
Key Learnings:
Top Trends in Cyber security
Cyber security Mesh
Cyber security Career Path for Engineers
Checkpoint, Fortinet, Paloalto, CISO Certifications & Career guideness
Afternoon – Article Reflection
Total of 7 teams
Discussion of 2 state-of-art journals on (1) IoT Cyber security assessment using ARNN (2) Survey on Adversarial Machine Learning
Presentation of article reflection by all 7 teams
Submission of Industrial Visit summary
Afternoon – FINAL ASSESSMENT Marks: 50
Duration: 45 mins MCQ – 35 marks (35*1)
Short Description – 15 marks (5*3)
VALEDICTORY FUNCTION
Department of IT has organised VALEDICTORY of AICTE Sponsored One Week ATAL FDP on Machine Learning for Cyber Security on 25th November 2023, 2.30pm at Gallery Hall 1, Block V. Dr.A.Saravanan, Dean(Academics), SRMIST, Ramapuram, Dr.M.Murali Krishna, Dean(CET), SRMIST, Ramapuram, Dr. Rajeswari Mukesh, HOD/IT, Mr. Rajendiran, President, DISAI, Chennai and Faculty participants from various Engineering Colleges across the country have graced the occasion.
Dr. Rajeswari Mukesh, HOD/IT has delivered the Welcome address. She welcomed all the dignitaries and greeted the greeting. She also elaborated the session-wise along with the key learning and takeaway. Dr.M.Murali Krishna, Dean(CET) has felicitated the gathering with his Felicitation address mentioning Significance of Cybersecurity and Machine Learning. Dr.A.Saravanan, Dean(Academics), has delivered his Felicitation address, mentioning Faculty Enrichment activities, Outcomes for Student community and Society. Mr. Rajendiran, President, DISAI, Chennai has delivered Valedictory address, mentioning Cybersecurity, AI, ML & constructive/destructive approaches and role of Data Protection Officers.
Three external participants gave good feedback about the organisation, content and choice of resource persons.
Dr. R. Mythili, Cocoordinator, on behalf of the department, expressed gratitude to all those who involved in organising successfully the one week AICTE Sponsored ATAL FDP.
The event is ended with the National Anthem.
Outcomes
At the end of FDP program, Learners will be able to
Apply and develop a secure machine learning model for Cyber Security problems
Demonstrate and work on popular Cyber defense tools
Awareness of Adversarial Machine Learning (AML)
Cyber defense tools & certifications
Enclosure
- Brochure with schedule
- Invitation
- List of Participants
