Research Guidance

PhD Dissertations:

1.  Yash Sharma: Thesis Submitted (Thesis Title: Design and Development of Malware Detection Models for Android Smartphones)

2.  Suruchi Jain: Ongoing   (Co-Supervisor with Dr. Dhirendra Kumar, DTU)

3.  Shagun: Ongoing (Co-Supervisor with Dr. Manju Sharma, DU)

4.  Nandeeshan M : Ongoing (Co-Supervisor with Dr. Ravindra Singh, DTU)

5.  Nitesh Yadav:  Ongoing (Co-Supervisor with Dr. Dhirendra Kumar, DTU)

6.  Sourav Walia: 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

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