PhD Dissertations:
Yash Sharma: Thesis Submitted (Thesis Title: Design and Development of Malware Detection Models for Android Smartphones)
Suruchi Jain: Ongoing (Co-Supervisor with Dr. Dhirendra Kumar, DTU)
Shagun: Ongoing (Co-Supervisor with Dr. Manju Sharma, DU)
Nandeeshan M : Ongoing (Co-Supervisor with Dr. Ravindra Singh, DTU)
Nitesh Yadav: Ongoing (Co-Supervisor with Dr. Dhirendra Kumar, DTU)
Sourav Walia: Ongoing
Postgraduate Dissertations:
Yash Sharma & Soumya Sharma (2019-21): Thesis Title: Applying Statistical Techniques on Traffic Features For Intrusion Detection
Anjali Mishra & Mahima (2020-22): Thesis Title: Permissions Ranking With Statistical Techniques for Android Malware Detection
Garima Kumari (2021-23): Thesis Title: Smartphone Malware Detection Using Permissions and McNemar Test
Shagun & Deepak Kumar (2021-23): Thesis Title: Smartphone Malware Detection based on Enhanced Correlation-based Feature Selection on Permissions
Harshita Gupta & Aman Gautam (2021-23): Thesis Title: Performance Evaluation of Machine Learning Algorithms for Network Intrusion Detection with Features Combination
Komal: (2022-24):Thesis Title: Intrusion Detection System Using Cohen's D and Wilcoxon Test
Sakshi: (2022-24) Thesis Title: Statistical Measures on Traffic Features for Intrusion Detection
Undergraduate Projects:
Ashish Gupta, Himanshu Ladia, & Shefali Bansal (2016-20): Project Title: Real Time Device To Capture Public Activity and Concerns Related To Coronavirus Pandemic
Abhishek, Aditya Dhiran, & Dinesh Kumar (2016-20): Project Title: Video Fraud Detection Using Blockchain
Kartik Khariwal, Jatin Singh, & Rishabh Gupta (2017-21): Project Title: Android Malware Detection Using Ranked Manifest File Components
Siddhant Gupta, Siddharth Sethi, & Srishti Chaudhary (2017-21): Project Title: Android Malware Detection using Deep Learning and Machine Learning
Gourav Garg & Ashutosh Sharma (2017-21): Project Title: Detecting Malicious Android Applications Using Ranked Static Features
Abhinav Sanghi, Aayush, & Ashutosh Katakwar (2017-21): Project Title: Detection of Counterfeit Drugs in Medical Supply Chain Using Blockchain Technology
Ankur Singh, Deepti Singh, & Kapil Gupta (2017-21): Project Title: Mutual Information Based Feature Ranking Method for Malicious Android Traffic Detection
Vaani Rawat, Nitin, & Siddhant Rai (2018-22): Project Title: A Blockchain-based Decentralized Framework for Carbon Accounting, Trading and Governance
Manan Malhotra, Rishab, & Ritik Singh (2018-22): Project Title: Smart Parking System with a Blockchain-Based Architecture
Atishay Katiyar, Deepanshu Saini, & Dhruv Sangwan (2018-22): Project Title: Android Malware Detection using Static Features on OmniDroid Dataset
Naman Oberoi, Nishant Sushmakar, & Shivang Gupta (2018-22): Project Title: An Unsupervised-Based Enhanced Anomaly Detection Model Using Feature Importance
Prerna Giri & Megha (2018-22): Project Title: Cyberbullying Detection using Deep Learning
Shresth Jain, Sarthak Kapoor, & Sachin Kumar Sharma (2019-23): Project Title: Android Malware Analysis using Coefficient of Multiple Correlation
Harsh, Ishaan Kamra, & Jatin Bhatoya (2019-23): Project Title: Malware Detection in Android Smartphones using Manifest File Components
Samyak Jain, Siddharth Bihani, & Satyam Jaiswal (2019-23): Project Title: Impact of Feature Selection Algorithms on Network Intrusion Detection
Nikhil Gupta, Pratuesh Anand, & Shailesh (2020-24): Project Title: Android Malware Detection Using Multi-Level Correlation
Satyam Srivastava, Shashwat Anand,& Tausif Nawaz (2020-24): Project Title: Identifying Malicious Android Apps Based on Permission Requests
Anshul Aggarwal & Dhruv Rana (2020-24): Project Title: Revolutionizing Healthcare: A Fusion of Blockchain and Machine Learning
Kamal Kumar, Kartik Gupta, & Rohan Gupta (2020-24): Project Title: Feature Selection in Intrusion Detection using Jaccard's Needham Similarity Algorithm
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
Aditya Harsh (2020-24): Project Title: Securing the Future: Comprehensive Analysis and Best Practices for Enhancing Security in Decentralized Finance (DEFI)
Aditi Garg, Arsh Sharan, & Aryan Garg (2020-24): Project Title : SOC-Llama: Estimation of SOC Using Llama Architecture