Hopeful hearts: A mobile health care application. - Neha Nirwal; Neetu Sardana; Arpita Jadhav Bhatt (IC3, 2014)

Disassembling and patching iOS applications at assembly level. - Chetna Gupta; Arpita Jadhav Bhatt; Sangeeta Mittal (IC3, 2017)

Comparison of Static and Dynamic Analyzer Tools for iOS Applications. - Arpita Jadhav Bhatt; Chetna Gupta (Wirel. Pers. Commun., 2017)

Network Forensics Analysis of iOS Social Networking and Messaging Apps. - Arpita Jadhav Bhatt; Chetna Gupta; Sangeeta Mittal (IC3, 2018)

iABC: Towards a hybrid framework for analyzing and classifying behaviour of iOS applications using static and dynamic analysis. - Arpita Jadhav Bhatt; Chetna Gupta; Sangeeta Mittal (J. Inf. Secur. Appl., 2018)

iShield: A Framework for Preserving Privacyof iOS App User. - Arpita Jadhav Bhatt; Chetna Gupta; Sangeeta Mittal (J. Cyber Secur. Mobil., 2019)

Detection of iOS Malware apps based on Significant Services Identification using Borda count. - Neetu Sardana; Arpita Jadhav Bhatt (IC3, 2021)

Malware Detection in Android Apps Using Static Analysis. - Nishtha Paul; Arpita Jadhav Bhatt; Sakeena Rizvi; Shubhangi (J. Cases Inf. Technol., 2021)

iABC-AL: Active learning-based privacy leaks threat detection for iOS applications. - Arpita Jadhav Bhatt; Chetna Gupta; Sangeeta Mittal (J. King Saud Univ. Comput. Inf. Sci., 2021)

CiAFP: Category-based Classification of iOS Apps by mining frequent permissions. - Neetu Sardana; Arpita Jadhav Bhatt (IC3, 2022)

Statistical Detection of Malicious iOS Apps through Ensemble and Active Learning. - Arpita Jadhav Bhatt; Parul Agarwal (IC3, 2023)

iPDS: Computing Privacy Disclosure Score for iOS apps and detection of privacy-infringing apps using Machine learning classifiers. - Neetu Sardana; Arpita Jadhav Bhatt (IC3, 2023)

Malicious iOS apps detection through Multi-Criteria Decision-Making Approach. - Arpita Jadhav Bhatt; Neetu Sardana (Informatica (Slovenia), 2025)