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14 October 2024 |
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Article overview
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Defensive Design of Saturating Counters Based on Differential Privacy | | Depeng Liu
; Lutan Zhao
; Pengfei Yang
; Bow-Yaw Wang
; Rui Hou
; Lijun Zhang
; Naijun Zhan
; | | Date: |
1 Jun 2022 | | Abstract: | The saturating counter is the basic module of the dynamic branch predictor,
which involves the core technique to improve instruction level parallelism
performance in modern processors. However, most studies focus on the
performance improvement and hardware consumption of saturating counters, while
ignoring the security problems they may cause. In this paper, we creatively
propose to study and design saturating counters from the defense perspective of
differential privacy, so that attackers cannot distinguish the states that
saturating counters are in and further infer sensitive information. To obtain
theoretical guarantees, we use Markov chain to formalize the attack algorithm
applied to the saturating counter, investigate into the optimal attack strategy
and calculate the probability of successful attack. Furthermore, we find that
the attacker is able to accurately guess the branch execution of the victim’s
process in the existing saturating counters. To avoid this, we design a new
probabilistic saturating counter, which generalizes the existing conventional
and probabilistic saturating counters. The guarantee of differential privacy is
applied to deduce parameters of the new saturating counters so that the
security requirement can be satisfied. We also theoretically calculate the
misprediction rate when the saturating counter reaches the steady state. The
experimental results on testing programs show that the calculated theoretical
results agree with the experimental performances. Compared with the existing
conventional and probabilistic saturating counters, when the parameters of our
designed models are selected appropriately, the new saturating counters can not
only ensure similar operational performance, but also establish strict security
guarantee. | | Source: | arXiv, 2206.00279 | | Services: | Forum | Review | PDF | Favorites | |
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