A Session Hijacking Attack Against a Device-Assisted Physical-Layer Key Agreement

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

17 Scopus Citations
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Detail(s)

Original languageEnglish
Article number8741092
Pages (from-to)691-702
Journal / PublicationIEEE Transactions on Industrial Informatics
Volume16
Issue number1
Online published19 Jun 2019
Publication statusPublished - Jan 2020

Abstract

Physical-layer key agreement is used to generate a shared key between devices on demand. Such schemes utilize the characteristics of the wireless channel to generate the shared key from the device-to-device channel. As all characteristics are time-dependent and location-dependent, it is hard for eavesdroppers to get the key. However, most research works in this area use passive attack models whereas active attacks that aim at manipulating the channel and key are also possible. Physical-layer key agreement with User Introduced Randomness (PHY-UIR) is a solution similar to the Diffie-Hellman protocol against such a kind of active attack. The users (devices) introduce their own randomness to help to prevent active attacks. In this paper, we analyze the possibility of launching a session hijacking attack on PHY-UIR to allow an attacker to control the shared key established. The session hijacking attack manipulates the key agreement through a man-in-the-middle interaction and forces legitimate devices to run the PHY-UIR protocol with the attacker. Our simulation and experiment results validate our attack and show the high performance of our attack on manipulating the generated key. We also propose PHY-UIR+ where devices simultaneously exchange information about the established shared keys, which allows them to detect whether they have agreed to different keys with a third party.

Research Area(s)

  • Key management, physical-layer security

Citation Format(s)

A Session Hijacking Attack Against a Device-Assisted Physical-Layer Key Agreement. / Hu, Qiao; Du, Bianxia; Markantonakis, Konstantinos et al.

In: IEEE Transactions on Industrial Informatics, Vol. 16, No. 1, 8741092, 01.2020, p. 691-702.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review