Dr. Baggili was appointed to the University of New Haven's Elder Family Endowed Chair in 2015.
This is the authors' version of the paper published in in ARES '19 Proceedings of the 14th International Conference on Availability, Reliability and Security by ACM. The paper of record is found at http://dx.doi.org/10.1145/3339252.3340515.
Computer crimes--investigation, Activity trackers (Wearable technology)
Computer Engineering | Computer Sciences | Electrical and Computer Engineering | Forensic Science and Technology | Information Security
The ongoing popularity of health and fitness applications catalyzes
the need for exploring forensic artifacts produced by them. Sensitive
Personal Identifiable Information (PII) is requested by the applications
during account creation. Augmenting that with ongoing
user activities, such as the user’s walking paths, could potentially
create exculpatory or inculpatory digital evidence. We conducted
extensive manual analysis and explored forensic artifacts produced
by (n = 13) popular Android mobile health and fitness applications.
We also developed and implemented a tool that aided in the timely
acquisition and identification of artifacts from the examined applications.
Additionally, our work explored the type of data that
may be collected from health and fitness web platforms, and Web
Scraping mechanisms for data aggregation. The results clearly show
that numerous artifacts may be recoverable, and that the tested
web platforms pose serious privacy threats.
Hassenfeldt, Courtney; Baig, Shabana; Baggili, Ibrahim; and Zhang, Xiaolu, "Map My Murder: A Digital Forensic Study of Mobile Health and Fitness Applications" (2019). Electrical & Computer Engineering and Computer Science Faculty Publications. 94.
Hassenfeldt, C., Baig, S., Baggili, I., & Zhang, X. (2019, August). Map My Murder: A Digital Forensic Study of Mobile Health and Fitness Applications. In Proceedings of the 14th International Conference on Availability, Reliability and Security, ARES '19 (Article No. 42). ACM.