Fear the Goat!

Adam J. Aviv

Assistant Professor
Computer Science

572M Holloway Road, Stop 9F
Annapolis, MD, 21402-5002, USA

Phone: 410 293 6655
Office: Micheslon 325
Email: aviv@usna.edu



Summary

I am an Assistant Proffesor of Computer Science at the United States Naval Academy I received my Ph.D. from the University of Pennsylvania where I was advised by Professors Jonathan M. Smith and Matt Blaze. I have broad research interests, primarily in the area of computer and network security/privacy and smartphone security.

News:


Teaching Schedule Fall 2013

SI-110 Introduction to Cyber Security Technical Foundations
          Section 2004   Lecture:
    Mon./Fri. P: 2 (0855-0945)

  Lab:
    Thur. P: 1,2 (0755-0945)
  MI 220
          Section 5004   Lecture:
    Mon./Fri. P: 5 (1330-1420)

  Lab:
    Wed. P: 5,6 (1330-1520)
  MI 220
          Section 6004   Lecture:
    Mon./Fri. P: 6 (1430-1520)

  Lab:
    Thur. P: 5,6 (1330-1520)
  MI 220
Extra Instruction   Open Door (come on in)
  and by appointment (email me)
  MI 325
Research Day
  Tuesday




Previous Courses

Research

My research focuses on computer and network security. Recently, I am very interested in the effects of smartphones/tablets on security and privacy, but have published articles on varied security topics, including side-channels, electronic voting, applied cryptography, botnet/intrusion detection, security testing/methodology, and privacy in ad-hoc mobile and geographic routing.

My Ph.D. research covered side channels on smartphones that are enabled by smartphones' handheld and touch oriented user interfaces. A side channel is the unintended leakage of information via a side-effect of a security or input procedure. For example, if I were to just learn the timing of the key presses on a keyboard, I could use that information to determine what you typed. (This is a real side channel!). In my thesis, I investigated the effectiveness of two smartphone-oriented side channels: A smudge attack that leverages residual smudges on the touchscreen surface remaining after user input, and a sensor-based side channel that leverages on-board sensors, particularly the accelerometer sensor, to infer user input based on the subtle shifting of the device that occurs while input is being provided.

Currently, I am expanding and continuing this line of investigation by applying these, and new, side channels to other touch/hand-held devices, such as tablets, as well as developing physical and software based counter measures to the attacks discovered. I am looking for self-motivated and smart midshipmen to collaborated on a number of research projects in the domain of security and privacy. Feel free to contact me if you are interested or if you have any questions.


Selected Publications

My complete CV can be found here