Improving Data Value Prediction Accuracy Using Path Correlation

1999 ◽  
pp. 28-32 ◽  
Author(s):  
Wamsi Mohan ◽  
Manoj Franklin
Keyword(s):  
Prediction Accuracy ◽  
Value Prediction ◽  
Data Value

scholarly journals Improving Performance and Mitigating Fault Attacks Using Value Prediction

Cryptography ◽  
2018 ◽  
Vol 2 (4) ◽  
pp. 27
Author(s):  
◽  
Keyword(s):  
Performance Optimization ◽  
State Of The Art ◽  
Present Value ◽  
Fault Attacks ◽  
Value Prediction ◽  
Data Value ◽  
Data Production ◽  
High Prediction ◽  
Design Perspective ◽  
Minimal Hardware

We present Value Prediction for Security (VPsec), a novel hardware-only framework to counter fault attacks in modern microprocessors, while preserving the performance benefits of Value Prediction (VP.) VP is an elegant and hitherto mature microarchitectural performance optimization, which aims to predict the data value ahead of the data production with high prediction accuracy and coverage. Instances of VPsec leverage the state-of-the-art Value Predictors in an embodiment and system design to mitigate fault attacks in modern microprocessors. Specifically, VPsec implementations re-architect any baseline VP embodiment with fault detection logic and reaction logic to mitigate fault attacks to both the datapath and the value predictor itself. VPsec also defines a new mode of execution in which the predicted value is trusted rather than the produced value. From a microarchitectural design perspective, VPsec requires minimal hardware changes (negligible area and complexity impact) with respect to a baseline that supports VP, it has no software overheads (no increase in memory footprint or execution time), and it retains most of the performance benefits of VP under realistic attacks. Our evaluation of VPsec demonstrates its efficacy in countering fault attacks, as well as its ability to retain the performance benefits of VP on cryptographic workloads, such as OpenSSL, and non-cryptographic workloads, such as SPEC CPU 2006/2017.

Techniques for performing highly accurate data value prediction

1998 ◽  
Vol 22 (6) ◽  
pp. 303-313 ◽  
Author(s):  
Rahul Sathe ◽  
Kai Wang ◽  
Manoj Franklin
Keyword(s):  
Accurate Data ◽  
Value Prediction ◽  
Data Value
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