DocumentCode :
979921
Title :
A General Power Model of Differential Power Analysis Attacks to Static Logic Circuits
Author :
Alioto, Massimo ; Poli, Massimo ; Rocchi, Santina
Author_Institution :
Dept. of Inf. Eng., Univ. of Siena, Siena, Italy
Volume :
18
Issue :
5
fYear :
2010
fDate :
5/1/2010 12:00:00 AM
Firstpage :
711
Lastpage :
724
Abstract :
This paper discusses a general model of differential power analysis (DPA) attacks to static logic circuits. Focusing on symmetric-key cryptographic algorithms, the proposed analysis provides a deeper insight into the vulnerability of cryptographic circuits. The main parameters that are of interest in practical DPA attacks are derived under suitable approximations, and a new figure of merit to measure the DPA effectiveness is proposed. Worst case conditions under which a cryptographic circuit should be tested to evaluate its robustness against DPA attacks are identified and analyzed. Several interesting properties of DPA attacks are also derived from the proposed model, whose fundamental expressions are compared with the counterparts of correlation power analysis attacks. The model was validated by means of DPA attacks on an FPGA implementation of the advanced encryption standard algorithm. Experimental results show that the model has a good accuracy, as its error is always lower than 2%.
Keywords :
cryptography; field programmable gate arrays; logic circuits; DPA attack; DPA effectiveness; FPGA; advanced encryption standard algorithm; correlation power analysis attack; cryptographic circuit; differential power analysis attack; power model; static logic circuit; symmetric-key cryptographic algorithm; Advanced encryption standard (AES); VLSI; correlation power analysis (CPA); differential power analysis (DPA); modeling; power consumption; security; smart cards; static logic;
fLanguage :
English
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-8210
Type :
jour
DOI :
10.1109/TVLSI.2009.2015327
Filename :
5031897
Link To Document :
بازگشت