LeakyRand: An Efficient High-fidelity Covert Channel in Fully Associative Last-level Caches with Random Eviction
Recent studies on secure last-level cache (LLC) have advocated the fully associative organization to defend against conflict-based side-channel attacks. In a fully associative LLC, an attacker cannot extract any information about the cache location of the addresses evicted due to cross-core conflict. Use of the random replacement policy further guards against any deterministic eviction patterns. However, the fully associative LLC design remains vulnerable against timing-based covert channel attacks. In this article, we present LeakyRand , a high-bandwidth covert communication mechanism that exploits the fully associative LLC with random replacement while guaranteeing an ultra-low bit error rate (BER). Our proposal is a union of three unique contributions. First, we present an efficient algorithm with strong analytical guarantees that enables the attacker to quickly occupy nearly the whole LLC with high probability, a prerequisite for achieving high bandwidth and high fidelity. Second, we present a novel covert communication protocol that allows the attacker to maintain high LLC occupancy. Third, our proposal detects error syndromes and efficiently takes corrective measures leading to an ultra-low expected BER. Exploiting a 2 MB fully associative LLC with random replacement policy to set up a covert channel, LeakyRand experiences an average BER of 10 -4 or less while offering 3.3× to 5.7× higher channel bandwidth compared to the recently proposed Stochastic Prime+Probe attack. We also demonstrate that LeakyRand can be adopted to mount high-precision fine-grain fingerprinting attacks.
Authors
- M. Chaudhuri (ORCID: https://orcid.org/0000-0001-6700-2498)
- Yashika Verma
- Debadatta Mishra (ORCID: https://orcid.org/0000-0003-4411-167X)
Institutions
- Indian Institute of Technology Kanpur (IN)
Publication Details
- Journal
- ACM Transactions on Embedded Computing Systems
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1145/3761797
- Primary Topic
- Internet Traffic Analysis and Secure E-voting
- Type
- article
- Field-Weighted Citation Impact
- 0.00