Center for Cyber Intelligence

About the Center

Cyber Security has become a major challenge due to increased usage of Internet and Mobile Devices for personal applications and professional activities. Application of Internet of Things in Smart City and Smart Industrial applications have challenged the entire digital system through sophisticated cyber-attacks on Information Technology (IT) infrastructures. Many Cyber Frauds and Scams are also on the rise affecting the common man when they start using the digital facilities without proper training and awareness. To use the electronic devices and Internet safely and securely to the benefit of the individuals, IT infrastructures must become resilient against the threats and vulnerabilities that are intelligent. Hence, there is a need for application of Artificial Intelligence in developing solutions and handling the threats in an effective manner. Orientation, training and interactions with the leading scientific organizations and the industrial organizations who are actively involved in developing solutions are essential to prepare the young talents towards Cyber Intelligence. Organizing capacity building programmes to handle and manage the risks are the need of the hour for the younger generation and for Nation Building activities.  

Vision

To build Cyber Ecosystem within the Institute, outside, in other Institutions and in the society at large through Center for Cyber Intelligence

Mission

1. To conduct research in Cyber Intelligence domain 
2. Provide training and awareness on various Cyber Security Challenges 
3. To promote better practices in Cyber Space

Objectives

• Capacity building to manage Cyber Threats and Challenges
• Conduct research in Cyber Intelligence Domain
• Orient women and girl children on Cyber Frauds, Scams and Threats 
• Familiarize the best practices for Social Media Security
• Build Cyber Ecosystem by orienting the Information Technology Act and Cyber Laws
• Develop ICT enabled video lessons to promote ethical ways of handling electronic media and devices
• Promote Security Audit Practice within the institution
• Establish tie-ups with Organizations

Activities

1. Skill Development training for Faculty Members, Research Scholars and Students
2. Awareness and Orientation programmes for Women and Girl Children
3. Development of lessons on Cyber awareness
4. Promotion of research in Cyber Intelligence
5. Capacity Building 
6. Promote best practices

Publications -12

Journal -1

1.Asha S, Shanmugapriya D, Padmavathi G, “Malicious insider threat detection using variation of sampling methods for anomaly detection in cloud environment”Computers and Electrical Engineering, Volume 105, 2023,108519, ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2022.108519. 

Conference Proceedings-8

1. ,G.,Shanmugapriya,D.,Asha,S.(2022).A Framework for Improving the Accuracy with Different Sampling Techniques for Detection of Malicious Insider Threat in Cloud.In:Uddin,M.S.,Jamwal,P.K.,Bansal,J.C.(eds) Proceedings of International Joint Conference on Advances in Computational Intelligence.Algorithms for Intelligent Systems. Springer,Singapore.https://doi.org/10.1007/978-981-19-0332-8_36   (Web of Science)
2. G.Padmavathi, D.Shanmugapriya and A.Roshni, "Performance Analysis of Unsupervised Machine Learning Methods for Mobile Malware Detection," 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom),2022,pp.201-206, doi:10.23919/INDIACom54597.2022.9763180. (Scopus Index)
3. G.Padmavathi , D.Shanmugapriya and S.Asha,"A Framework to Detect the Malicious Insider Threat in Cloud Environment using Supervised Learning Method," 2022 9th International Conference on Computing for Sustainable Global Developement (INDIACom), 20222,pp.354,doi:10.23919/INDIACom54597.2022.9763205. (Scopus Index)
4. Dr.D.Nethra Pingala Suthishni , Dr.D.Shanmugapriya, Dr.V.Sasirekha, and Dr.G.Padmavathi, Performance Evaluation on Selective Forwarding Attack Detection using Machine Learning Techniques implemented in ZIGBEE Network,Springer Proceedings of 2nd International Conference on Next Generation Computer System. (ICNGCS - 2023)
5. D.Shanmugapriya,G.Padmavathi and A.Aysha,"Detection of Iris Template Attacks using Machine Learning and Deep Learning Methods:, 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom),2023.(Yet to be Scopus Indexed).
6. S. Sneha, A. Roshni, and G. Padmavathi, "A Stacked Ensemble Model to Detect Network Intrusions", Fourteenth International Conference on Advances in Communication, Network, and Computing - CNC 2023. (Yet to be Scopus Indexed) 
7. K. Bhuvaneswari, A. Roshni, and G. Padmavathi, "Evaluation of Selected Supervised Machine Learning Models for Phishing Website Detection", Fourteenth International Conference on Advances in Communication, Network, and Computing - CNC 2023. (Yet to be Scopus Indexed) 
8. S. Kiruthika, A. Roshni, and G. Padmavathi, "Detection of Obfuscated Malware using Ensemble Learning Techniques", Fourteenth International Conference on Advances in Communication, Network, and Computing - CNC 2023. (Yet to be Scopus Indexed) 

Book Chapter-5

1. G Padmavathi , D Shanmugapriya, S Asha (2022), Detection of Malicious Insider in Cloud Environment based on Behavior Analysis , Progressions made in Cyber-Security World , pg : 1-9,ISBN:978-1-003-30238-4(ebk) DOI:10.201/9781003302384, CRC Press.  (Taylor and Francis)
2.  G Padmavathi , D Shanmugapriya , A Roshni (2022), Evaluation of Supervised Machine Learning Classifiers to Detect Mobile Malware , Progessions made in Cyber-Security World , pg:1-9 , ISBN:978-1-003-30238-4(ebk) DOI :10.201/9781003302384, CRC Press . (Taylor and Francis)
3.  Ganapathi , P. ., Shanmugapriya , D . .,Roshni, A. .(2022). Evaluation of Principal Component Analysis Variants to Assess Their Suitability for Mobile Malware Detection. In (Ed.), Advances in Principal Component Analysis.IntechOpen. https://doi.org/10.5772/intechopen.105418    
4. Gaayathri M., Padmavathi Ganapathi, Roshni A., Shanmugapriya D (2023), “Wrapper-Based Feature Selection for Detecting the Lexical Phishing Websites Using Ensemble Learning Algorithms”, Malware Analysis and Intrusion Detection in Cyber-Physical Systems, IGI Global, DOI: 10.4018/978-1-6684-8666-5, ISBN13: 9781668486665 | ISBN10: 1668486660 | EISBN13: 9781668486689 
5.  Sri Danalaksmi P., Geethalakshmi S. N., Roshni A., Padmavathi Ganapathi (2023), “Classification of Firewall Log Files Using Supervised Machine Learning Techniques”, Malware Analysis and Intrusion Detection in Cyber-Physical Systems, IGI Global, DOI: 10.4018/978-1-6684-8666-5, ISBN13: 9781668486665 | ISBN10: 1668486660 | EISBN13: 9781668486689 

Book - 3

1. Ganapathi, P. ., Shanmugapriya, D. ., & Roshni, A. . (2022). Dynamic Analysis Based Mobile Malware Classification Using Supervised Machine Learning Methods, 1–168. https://doi.org/10.9734/bpi/mono/978-93-5547-441-4, B P International. ISBN 978-93-5547-441-4 (Print), ISBN 978-93-5547-442-1 (eBook)  
2.  Padmavathi Ganapathi, S. Karthika (2022), Vulnerability Assessment with Nessus, 1-107,  Notion Press, ISBN: 9798886848632  https://notionpress.com/read/vulnerability-assessment-with-nessus 
3. Padmavathi Ganapathi, D. Nethra Pingala Suthishni (2023). Security Auditing with NMAP. pp. 1 - 114. ISBN: 9798889350699,Publisher: Notion Press. https://notionpress.com/read/security-auditing-with-nmap

International MoU's 

• SOEBIT Cybersecurity, The Netherlands, Europe.

In-House Project (2021-2022)

1. Detection and Mitigation of Malicious Insider Threats in Cloud Environment using Machine Learning Methods

• Dr. G. Padmavathi, Dean - PSCS, Director - DST - CURIE - AI, Professor, Department of Computer Science
• Dr. D. Shanmugapriya, Assistant Professor and Head, Department of Information Technology
• Ms. S. Asha, Research Scholar, Department of Computer Science

2.  Energy Efficient Intrusion Detection System for Zigbee based Wireless Sensor Networks using Machine Learning Techniques

• Dr. G. Padmavathi, Dean - PSCS, Professor - Department of Computer Science

          Principal Investigator - Dr. V. Sasirekha, Assistant Professor (SS), Department of Physics

     Co - Principal Investigators-

• Dr. D. Shanmugapriya, Assistant Professor and Head, Department of Information Technology
• Dr. D. Nethra Pingala Suthishni, Assistant Professor, Department of Information Technology

CCI Student Projects 2021-2022

1. Darknet Traffic Classification using Machine Learning Techniques 

• Dr. G. Padmavathi, Dean - PSCS, Professor, Department of Computer Science
• Ms. A. Roshni, Technical Assistant, Center for Cyber Intelligence, DST - CURIE - AI
• Ms. Sahithi Kasim, B.Tech Computer Science and Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, Telangana

2. Classification of Firewall Log Files using Supervised Machine Learning Methods

• Ms. P. Sri Dhanalakshmi, M.Sc Computer Science

more... 

3. Spam Mail Detection using Supervised Machine Learning Methods

• Ms. S. Thameena Kawsar, M.Sc Computer Science

more... 

4. An Ensemble Framework for Network Intrusions

• Ms. V. Kanimozhi, Master of Computer Application

more...

5. Web Enabled Secured Loan Sanction Application using Smart Contracts on Blockchain Technology

• Ms. S. Kavya, Master of Computer Application

more...

6. Feature Selection based Phishing URL Detection using Supervised Machine Learning Methods

• Ms. N. Nandhini, Master of Computer Application

more...

7. Android Botnet Detection using Supervised Machine Learning Methods

• Ms. S. Shalini, Master of Computer Application

more...

8. Iris Template Attack Detection using ML and DL Methods

• Ms. A. Aysha, M.Sc Information Technology

more...

9. Texture and Color Quality Analysis for Face Spoofing Detection using ML and DL Techniques

• Ms. G. Indhumathi, M.Sc Information Technology

more...

10. Vulnerability Analysis using Unsupervised Machine Learning Methods 

• Ms. K. Meghasree M.Sc Information Technology

more...

Programme's Conducted by CCI

CCI Awareness and Orientation Activities 

1. Conducted a "Awareness Programme on Cyber Security" for School Students of Sri Avinashilingam Higher Secondary School for Girls, Coimbatore - Feb, 2022.   (Report)

2.  Conducted a "Orientation Programme on Cyber Security" for UG Students of Sri S. Ramasamy Naidu Memorial College, Sattur - Feb, 2023.  (Report) 

Cyber Jaagrookta Diwas 2022 - Activities 

Cyber Jaagrookta Diwas 2023 - Activities 

Students Project External Evaluation and Presentation 

• Students Projects External Evaluation and Presentation 2021 - 2022 (Report)
• Students Projects External Evaluation and Presentation 2022 - 2023 (Report)

PG Students Projects

Team Members

Faculty in-charge:

Dr.G.Padmavathi,

Faculty in-charge - Center for Cyber Intelligence,

Dean - School of Physical Sciences and Computational Sciences,

Professor, Department of Computer Science.

Mail: padmavathi_cs@avinuty.ac.in

Other Staffs:

Dr. D. Shanmugapriya

Assistant Professor and Head

Department of Information Technology.

Ms. S. Karthika

Assistant Professor, Department of Information Technology.

Dr. D.Nethra Pingala Suthishni

Assistant Professor, Department of Information Technology.

Dr.A.Sumi

Assistant Professor, Department of Information Technology.

Ms. A. Roshni

Technical Assistant.

Ms. S. Asha

Full-Time Research Scholar.