Maximilian von Tschirschnitz (Technical University of Munich), Ludwig Peuckert (Technical University of Munich), Moritz Buhl (Technical University of Munich), Jens Grossklags (Technical University of Munich)

Previous works have shown that Bluetooth is susceptible to so-called Method Confusion attacks. These attacks manipulate devices into conducting conflicting key establishment methods, leading to compromised keys. An increasing amount of security-sensitive applications, like payment terminals, organizational asset tracking systems and conferencing technologies now rely on the availability of a technology like Bluetooth.
It is thus an urgent goal to find and validate a mitigation to these attacks or to provide an appropriate replacement for Bluetooth without introducing additional requirements
that exclude device or user groups.
Despite recent solution proposals, existing threat models overlook certain attack vectors or dismiss important scenarios and consequently suffer under new variants of Method Confusion.

We first propose an extended threat model that appreciates the root issue of Method Confusion and also considers multiple pairing attempts and one-sided pairings as security risks.
Evaluating existing solution proposals with our threat model, we are able to detect known Method Confusion attacks, and identify new vulnerabilities in previous solution proposals.
We demonstrate the viability of these attacks on real-world Bluetooth devices. We further discuss a novel solution approach offering enhanced security, while maintaining compatibility with existing hardware and Bluetooth user behavior.
We conduct a formal security proof of our proposal and implement it on commonplace Bluetooth hardware, positioning it as the currently most promising update proposal for Bluetooth.

View More Papers

Do (Not) Follow the White Rabbit: Challenging the Myth...

Soheil Khodayari (CISPA Helmholtz Center for Information Security), Kai Glauber (Saarland University), Giancarlo Pellegrino (CISPA Helmholtz Center for Information Security)

Read More

SCRUTINIZER: Towards Secure Forensics on Compromised TrustZone

Yiming Zhang (Southern University of Science and Technology and The Hong Kong Polytechnic University), Fengwei Zhang (Southern University of Science and Technology), Xiapu Luo (The Hong Kong Polytechnic University), Rui Hou (Institute of Information Engineering, Chinese Academy of Sciences), Xuhua Ding (Singapore Management University), Zhenkai Liang (National University of Singapore), Shoumeng Yan (Ant Group), Tao…

Read More

SKILLPoV: Towards Accessible and Effective Privacy Notice for Amazon...

Jingwen Yan (Clemson University), Song Liao (Texas Tech University), Mohammed Aldeen (Clemson University), Luyi Xing (Indiana University Bloomington), Danfeng (Daphne) Yao (Virginia Tech), Long Cheng (Clemson University)

Read More

Poster: Securing IoT Edge Devices: Applying NIST IR 8259A...

Rahul Choutapally, Konika Reddy Saddikuti, Solomon Berhe (University of the Pacific)

Read More