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Arpita Jadhav Bhatt
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2020 – today
- 2023
- [c7]Neetu Sardana, Arpita Jadhav Bhatt:
iPDS: Computing Privacy Disclosure Score for iOS apps and detection of privacy-infringing apps using Machine learning classifiers. IC3 2023: 699-705 - [c6]Arpita Jadhav Bhatt, Parul Agarwal:
Statistical Detection of Malicious iOS Apps through Ensemble and Active Learning. IC3 2023: 716-721 - 2022
- [c5]Neetu Sardana, Arpita Jadhav Bhatt:
CiAFP: Category-based Classification of iOS Apps by mining frequent permissions. IC3 2022: 22-26 - 2021
- [j5]Nishtha Paul, Arpita Jadhav Bhatt, Sakeena Rizvi, Shubhangi:
Malware Detection in Android Apps Using Static Analysis. J. Cases Inf. Technol. 24(3): 1-25 (2021) - [j4]Arpita Jadhav Bhatt, Chetna Gupta, Sangeeta Mittal:
iABC-AL: Active learning-based privacy leaks threat detection for iOS applications. J. King Saud Univ. Comput. Inf. Sci. 33(7): 769-786 (2021) - [c4]Neetu Sardana, Arpita Jadhav Bhatt:
Detection of iOS Malware apps based on Significant Services Identification using Borda count. IC3 2021: 86-91
2010 – 2019
- 2019
- [j3]Arpita Jadhav Bhatt, Chetna Gupta, Sangeeta Mittal:
iShield: A Framework for Preserving Privacyof iOS App User. J. Cyber Secur. Mobil. 8(4): 493-536 (2019) - 2018
- [j2]Arpita Jadhav Bhatt, Chetna Gupta, Sangeeta Mittal:
iABC: Towards a hybrid framework for analyzing and classifying behaviour of iOS applications using static and dynamic analysis. J. Inf. Secur. Appl. 41: 144-158 (2018) - [c3]Arpita Jadhav Bhatt, Chetna Gupta, Sangeeta Mittal:
Network Forensics Analysis of iOS Social Networking and Messaging Apps. IC3 2018: 1-6 - 2017
- [j1]Arpita Jadhav Bhatt, Chetna Gupta:
Comparison of Static and Dynamic Analyzer Tools for iOS Applications. Wirel. Pers. Commun. 96(3): 4013-4046 (2017) - [c2]Chetna Gupta, Arpita Jadhav Bhatt, Sangeeta Mittal:
Disassembling and patching iOS applications at assembly level. IC3 2017: 1-6 - 2014
- [c1]Neha Nirwal, Neetu Sardana, Arpita Jadhav Bhatt:
Hopeful hearts: A mobile health care application. IC3 2014: 351-356
Coauthor Index
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