Arsalan Mohsen Nia

Postdoc. Research Associate

Continuous Authentication Based on BioAura

  Halls department, Hall 4
  Wednesday, 27 December 2017
  15:30 - 16:30


Most computer systems authenticate users only once at the time of initial login, which can lead to security concerns. Continuous authentication has been explored as an approach for alleviating such concerns. Previous methods for continuous authentication primarily use biometrics, e.g., fingerprint and face recognition, or behaviometrics, e.g., keystroke patterns. We describe CABA, a novel continuous authentication system that is inspired by and leverages the emergence of sensors for pervasive and continuous health monitoring. CABA authenticates users based on their BioAura, an ensemble of biomedical signal streams that can be collected continuously and non-invasively using wearable medical devices. While each such signal may not be highly discriminative by itself, we demonstrate that a collection of such signals, along with robust machine learning, can provide high accuracy levels. We demonstrate the feasibility of CABA through analysis of traces from the MIMIC-II dataset. We propose various applications of CABA and describe how it can be extended to user identification and adaptive access control authorization. Finally, we discuss possible attacks on the proposed scheme and suggest corresponding countermeasures.


Arsalan Mohsen Nia received the B.Sc. degree in Computer Engineering from Sharif University of Technology in 2012, and the M.A. and Ph.D. in Electrical Engineering from Princeton University, in 2014 and 2016, respectively, under the supervision of Prof. Niraj K. Jha. Upon the completion of his Ph.D., he joined Profs. Mung Chiang's (Purdue University) and Prateek Mittal's (Princeton University) research groups as a postdoctoral research associate.
He is broadly interested in investigating and addressing emerging security and privacy challenges in Internet of Things (IoT). His work has uncovered fundamental security/privacy flaws in the design of multiple widely-used Internet-connected and cyber-physical systems, including medical implants and wearables, Internet-connected and autonomous vehicles, and smartphones.
His research impact includes several publications that are among the most popular papers of top-tier IEEE Transactions, multiple prestigious awards (including Princeton X, Princeton Innovation Fund, and French-American Doctoral Exchange Fellowship), and press coverage. Moreover, four U.S. Patents have been filed based on the technologies that he has developed, and several potential industrial partners are exploring commercialization of the technologies. Furthermore, at OpenFog Consortium (an industry-wide consortium that has over 50 member organizations, including Microsoft, Intel, Cisco Systems, ARM, Dell, and AT&T), he is actively collaborating with Security Work Group, where he defines domain-specific security standards for fog computing, and Testbed Work Group, where he designs, builds, and examines novel fog-inspired real-world systems.