Students

PhD Dissertations:

1.  Dr. Yash Sharma (2021-2025): Thesis Title: Design and Development of Malware Detection Models for Android Smartphones.    Currently a Postdoctoral Fellow at IIT Gandhinagar.

2.  Suruchi Jain: Ongoing   

3.  Shagun: Ongoing 

4.  Nandeeshan M : Ongoing 

5.  Nitesh Yadav:  Ongoing 

6.  Sourav Walia: Ongoing

7.  Akhil Kumar: Ongoing

Postgraduate Dissertations:

1. Yash Sharma & Soumya Sharma  (2019-21):  Thesis Title: Applying Statistical Techniques on Traffic Features For Intrusion Detection.

2. Anjali Mishra & Mahima (2020-22): Thesis Title: Permissions Ranking With Statistical Techniques for Android Malware Detection.

3. Garima Kumari (2021-23): Thesis Title: Smartphone Malware Detection Using Permissions and McNemar Test.

4.  Shagun & Deepak Kumar  (2021-23): Thesis Title: Smartphone Malware Detection based on Enhanced Correlation-based Feature Selection on Permissions.

5. Harshita Gupta & Aman Gautam (2021-23): Thesis Title: Performance Evaluation of Machine Learning Algorithms for Network Intrusion Detection with Features Combination.

6. Komal: (2022-24): Thesis Title: Intrusion Detection System Using Cohen's D and Wilcoxon Test.

7. Sakshi:  (2022-24): Thesis Title: Statistical Measures on Traffic Features for Intrusion Detection.

8. Kunikaa Dwivedi (2023-25): Thesis Title: KWG-RFE: A Tri-Stage Hybrid Feature Reduction Framework for Android Malware Detection.

9. Sakshi Punia (2023-25): Thesis Title: Optimizing Android Malware Detection via Hybrid Feature Selection: A Study on Z-Test, MIFS & PSO.

10.  Himanshi (2023-25): Thesis Title: InPermHardroid: Android Malware Detection using Intents, Permissions and Hardware Components.

11.  Janvi Tyagi and Garvita Agarwal (2023-25): Thesis Title: Android Malware Detection using Gumbel- Attention Feature Selector Network.

12. Janhvi Gupta and Prachi Raj (2023-25): Thesis Title: Efficient Malware Detection using Incremental learning with SGDClassifier. 

Undergraduate Projects:

1. Ashish Gupta, Himanshu Ladia, & Shefali Bansal (2016-20): Project Title: Real-Time Device To Capture Public Activity and Concerns Related To Coronavirus Pandemic.

2. Abhishek, Aditya Dhiran, & Dinesh Kumar (2016-20): Project Title: Video Fraud Detection Using Blockchain.

3. Kartik Khariwal, Jatin Singh, & Rishabh Gupta (2017-21): Project Title:  Android Malware Detection Using Ranked Manifest File Components.

4. Siddhant Gupta, Siddharth Sethi, & Srishti Chaudhary (2017-21): Project Title: Android Malware Detection using Deep Learning and Machine Learning.

5. Gourav Garg & Ashutosh Sharma (2017-21): Project Title: Detecting Malicious Android Applications Using Ranked Static Features.

6. Abhinav Sanghi, Aayush, & Ashutosh Katakwar (2017-21): Project Title: Detection of Counterfeit Drugs in Medical Supply Chain Using Blockchain Technology.

7. Ankur Singh, Deepti Singh, & Kapil Gupta (2017-21): Project Title: Mutual Information Based Feature Ranking Method for Malicious Android Traffic Detection.

8. Vaani Rawat, Nitin, & Siddhant Rai (2018-22): Project Title: A Blockchain-based Decentralized Framework for Carbon Accounting, Trading and Governance.

9. Manan Malhotra, Rishab, & Ritik Singh (2018-22): Project Title: Smart Parking System with a Blockchain-Based Architecture.

10. Atishay Katiyar, Deepanshu Saini, & Dhruv Sangwan (2018-22): Project Title: Android Malware Detection using Static Features on OmniDroid Dataset.

11. Naman Oberoi, Nishant Sushmakar, & Shivang Gupta (2018-22): Project Title: An Unsupervised-Based Enhanced Anomaly Detection Model Using Feature Importance.

12. Prerna Giri & Megha (2018-22): Project Title: Cyberbullying Detection using Deep Learning.

13. Shresth Jain, Sarthak Kapoor, & Sachin Kumar Sharma (2019-23): Project Title: Android Malware Analysis using Coefficient of Multiple Correlation.

14. Harsh, Ishaan Kamra, &  Jatin Bhatoya (2019-23): Project Title: Malware Detection in Android Smartphones using Manifest File Components.

15. Samyak Jain, Siddharth Bihani, & Satyam Jaiswal (2019-23): Project Title: Impact of Feature Selection Algorithms on Network Intrusion Detection.

16. Nikhil Gupta, Pratuesh Anand, & Shailesh (2020-24): Project Title: Android Malware Detection Using Multi-Level Correlation.

17. Satyam Srivastava, Shashwat Anand,& Tausif Nawaz (2020-24): Project Title: Identifying Malicious Android Apps Based on Permission Requests.

18. Anshul Aggarwal & Dhruv Rana (2020-24): Project Title: Revolutionizing Healthcare: A Fusion of Blockchain and Machine Learning.

19. Kamal Kumar, Kartik Gupta, & Rohan Gupta (2020-24): Project Title: Feature Selection in Intrusion Detection using Jaccard's Needham Similarity Algorithm.

20. Ishan Bhateja, Kanishka Thakran, & Palak Chaturvedi (2020-24): Project Title: Feature Extraction and Ranking Using Fuzzy-KSI for Network Intrusion Detection using a Krill Herd Optimized Neural Network. 

21. Aditya Harsh (2020-24): Project Title: Securing the Future: Comprehensive Analysis and Best Practices for Enhancing Security in Decentralized Finance (DEFI).

22. Aditi Garg, Arsh Sharan, & Aryan Garg (2020-24): Project Title : SOC-Llama: Estimation of SOC Using Llama Architecture.

23. Keshav Gogia, Kunal Bansal & Rakshan Narula (2021-25): Project Title: Comparative Study of Feature Selection Methods for Deep Learning–Based Intrusion Detection in IoT Networks.

24. Arjun Garg, Ayush Chahar & Dhruv Kejriwal (2021-25): Project Title: Scalable Android Malware Detection via Incremental Learning and Chi-Square Based Feature Reduction.

25. Aditya Mishra, Akhilesh Sharma & Anish Sinha (2021-25): Project Title: Network Intrusion Detection System Using MST-based Feature Selection Technique and Bi-LSTM Model.

26. Abhishek Sambharya, Aditya Nirbhay & Anmol Gupta (2021-25): Project Title: Deepfake Detection using Deep Learning Techniques.

27. Aniket, Aryaman Singla & Aryan Nitinkumar Rajpara (2021-25): Project Title: Feature Selection For Android Malware Detection: A Comparative Study Between Genetic Algorithms and Simulated Annealing.

28. Alok Kumar Singh, Apurv Vats & Arnav Kishn Kushwaha (2021-25): Project Title: Android Malware Detection using Federated Learning.

29. Kumar Harsh, Snehil Sharma & Lavanay Ganotra (2021-25): Project Title: ZyEVO: A Zygomycota-Inspired Dual Phase Evolutionary Metaheuristic Algorithm.

30.  Ishita Sreejeth, Nikhil Chaudhary & Manpreet Kaur (2021-25): Project Title: Fake News Detection using Machine Learning Techniques.

31.  Monalisa Maity, Priya Chaudhary & Ishita Gupta (2021-25): Project Title: Blockchain-Federated Learning Based Architecture for Android Malware Detection.