Malware Detection Using Network Traffic Analysis in Android Based Mobile Devices. - Anshul Arora; Shree Garg; Sateesh Kumar Peddoju (NGMAST, 2014)

Minimizing Network Traffic Features for Android Mobile Malware Detection. - Anshul Arora; Sateesh Kumar Peddoju (ICDCN, 2017)

Poster: Hybrid Android Malware Detection by Combining Supervised and Unsupervised Learning. - Anshul Arora; Sateesh Kumar Peddoju; Vikas Chouhan; Ajay Chaudhary (MobiCom, 2018)

NTPDroid: A Hybrid Android Malware Detector Using Network Traffic and System Permissions. - Anshul Arora; Sateesh Kumar Peddoju (TrustCom/BigDataSE, 2018)

PermPair: Android Malware Detection Using Permission Pairs. - Anshul Arora; Sateesh Kumar Peddoju; Mauro Conti (IEEE Trans. Inf. Forensics Secur., 2020)

A Blockchain-based Decentralized Framework for Carbon Accounting, Trading and Governance. - Vaani Rawat; Nitin Dahiya; Siddhant Rai; Anshul Arora (ICCTA, 2022)

Blockchain-based secure and transparent election and vote counting mechanism using secret sharing scheme. - Vikas Chouhan; Anshul Arora (J. Ambient Intell. Humaniz. Comput., 2023)

PHIGrader: Evaluating the effectiveness of Manifest file components in Android malware detection using Multi Criteria Decision Making techniques. - Yash Sharma; Anshul Arora (J. Netw. Comput. Appl., 2024)

A comprehensive review on permissions-based Android malware detection. - Yash Sharma; Anshul Arora (Int. J. Inf. Sec., 2024)

IPAnalyzer: A novel Android malware detection system using ranked Intents and Permissions. - Yash Sharma; Anshul Arora (Multim. Tools Appl., 2024)

CorrNetDroid: Android Malware Detector leveraging a Correlation-based Feature Selection for Network Traffic features. - Yash Sharma; Anshul Arora (CoRR, 2025)