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SPIES Lab, Computer Science and Engineering

Texas A&M University College of Engineering

E2E App Study

Many widely used Internet messaging and calling apps, such as WhatsApp, Viber, Telegram, and Signal, have deployed an end-to-end encryption functionality. To defeat potential manin- the-middle attackers against the key exchange protocol, the approach crucially relies upon users to perform a code verification task whereby each user must compare the code (a fingerprint of the cryptographic keys) computed by her app with the one computed by the other user’s app and reject the session if the two codes do not match. The following figure represents some of the code verification interfaces.

Figure 1: Presentation of the security codes

Figure 1: Presentation of the security codes

In this work, we study the security and usability of this human-centered code verification task for a prominent setting where the end users are remotely located, and compare it as a baseline to a potentially less frequent scenario where the end users are in close proximity. We consider several variations of the code presentation and code verification methods, incorporated into representative real-world apps, including codes encoded as numbers or images, displayed on the screen, and verbally spoken by the users. We perform a carefully-designed human factors study in a lab setting to quantify the security and usability of these different methods.
Our study results expose key weaknesses in the security and usability of the code verification methods employed in the remote end-to-end encryption apps. First, we show that generally most code verification methods offer poor security (high false accepts) and low usability (high false rejects and low user experience ratings) in the remote setting. Second, we demonstrate that, security and usability under the remote code verification setting is significantly lower than that in the proximity code verification setting. We attribute this result to the increased cognitive overhead associated with comparing the codes across two apps on the same device (remote setting) rather than across two devices (proximity setting). Overall, our work serves to highlight a serious fundamental vulnerability of Internet-based communication apps in the remote setting stemming from human errors.

People

Faculty

  • Nitesh Saxena

Student

  • Maliheh Shirvanian (PhD candidate)

External Collaborators:

  • Jesvin James George

Publication

  • On the Pitfalls of End-to-End Encrypted Communications: A Study of Remote Key-Fingerprint Verification.
    Maliheh Shirvanian, Nitesh Saxena and Jesvin James George.
    In the Annual Computer Security Applications Conference (ACSAC), December 2017; arXiv preprint arXiv:1707.05285, 2017/7/17.
    [pdf]

Recent News

  • Paper accepted to ICME 2025 June 24, 2025
  • SPIES Lab’s Browser Fingerprinting Work in the News June 23, 2025
  • Journal paper accepted to IEEE TIFS June 19, 2025
  • SPIES Lab’s Browser Fingerprinting Work Features in News June 18, 2025
  • Paper Accepted to USENIX Security 2025 June 6, 2025
  • 2 Papers Accepted to PST 2025 June 6, 2025
  • AI Spies News — BPSniff (IEEE S&P 2025) Paper News Story May 12, 2025
  • Launching the AI Spies News Channel May 12, 2025
  • Paper accepted to WiSec 2025 May 11, 2025
  • SPIES Lab’s Secure Messaging Work Features in News May 3, 2025
  • SPIES Lab Student to Start as an Assistant Professor April 18, 2025
  • Dr. Saxena’s Primer on Secure Communications in News Media March 31, 2025
  • Dr. Saxena recognized with the Dean’s Excellence Award! February 14, 2025
  • Dr. Saxena appointed as the Senior Area Editor, IEEE TIFS February 6, 2025
  • 2 Full Papers Accepted to WWW 2025 January 20, 2025
  • Journal paper accepted to IEEE TMC December 18, 2024
  • New post-doctoral researcher joins the lab December 11, 2024
  • Paper Accepted to ACM Computing Surveys 2024 November 30, 2024
  • Paper Accepted to IEEE S&P 2025 October 21, 2024
  • Paper Accepted to Nature Human Behaviour October 20, 2024

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