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2020 – today
- 2024
[j5]Yash Sharma
, Anshul Arora:
A comprehensive review on permissions-based Android malware detection. Int. J. Inf. Sec. 23(3): 1877-1912 (2024)- [j4]Yash Sharma, Anshul Arora:
PHIGrader: Evaluating the effectiveness of Manifest file components in Android malware detection using Multi Criteria Decision Making techniques. J. Netw. Comput. Appl. 232: 104021 (2024) - [j3]Yash Sharma, Anshul Arora:
IPAnalyzer: A novel Android malware detection system using ranked Intents and Permissions. Multim. Tools Appl. 83(33): 78957-79008 (2024) - 2023
- [j2]Vikas Chouhan, Anshul Arora:
Blockchain-based secure and transparent election and vote counting mechanism using secret sharing scheme. J. Ambient Intell. Humaniz. Comput. 14(10): 14009-14027 (2023) - 2022
- [c5]Vaani Rawat, Nitin Dahiya, Siddhant Rai, Anshul Arora:
A Blockchain-based Decentralized Framework for Carbon Accounting, Trading and Governance. ICCTA 2022: 148-153 - 2020
- [j1]Anshul Arora, Sateesh Kumar Peddoju, Mauro Conti:
PermPair: Android Malware Detection Using Permission Pairs. IEEE Trans. Inf. Forensics Secur. 15: 1968-1982 (2020)
2010 – 2019
- 2018
- [c4]Anshul Arora, Sateesh Kumar Peddoju, Vikas Chouhan, Ajay Chaudhary:
Poster: Hybrid Android Malware Detection by Combining Supervised and Unsupervised Learning. MobiCom 2018: 798-800 - [c3]Anshul Arora, Sateesh Kumar Peddoju:
NTPDroid: A Hybrid Android Malware Detector Using Network Traffic and System Permissions. TrustCom/BigDataSE 2018: 808-813 - 2017
- [c2]Anshul Arora, Sateesh Kumar Peddoju:
Minimizing Network Traffic Features for Android Mobile Malware Detection. ICDCN 2017: 32 - 2014
- [c1]Anshul Arora, Shree Garg, Sateesh Kumar Peddoju:
Malware Detection Using Network Traffic Analysis in Android Based Mobile Devices. NGMAST 2014: 66-71
Coauthor Index
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