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Quantitative Verification of Masked Arithmetic Programs Against Side-Channel Attacks.

, , , , and . TACAS (1), volume 11427 of Lecture Notes in Computer Science, page 155-173. Springer, (2019)

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An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems., , and . COMPSAC Workshops, page 376-381. IEEE Computer Society, (2010)Randomized load balancing strategies with churn resilience in peer-to-peer networks., , and . J. Network and Computer Applications, 34 (1): 252-261 (2011)Verifying and Quantifying Side-channel Resistance of Masked Software Implementations., , , and . ACM Trans. Softw. Eng. Methodol., 28 (3): 16:1-16:32 (2019)Model Checking Pushdown Epistemic Game Structures., , and . ICFEM, volume 10610 of Lecture Notes in Computer Science, page 36-53. Springer, (2017)auto-AID: A data mining framework for autonomic anomaly identification in networked computer systems., and . IPCCC, page 73-80. IEEE Computer Society, (2010)Quantitative Verification of Masked Arithmetic Programs Against Side-Channel Attacks., , , , and . TACAS (1), volume 11427 of Lecture Notes in Computer Science, page 155-173. Springer, (2019)Empirical Studies of the Soft Error Susceptibility ofSorting Algorithms to Statistical Fault Injection., , , and . FTXS@HPDC, page 35-40. ACM, (2015)AFD: Adaptive failure detection system for cloud computing infrastructures., , , and . IPCCC, page 71-80. IEEE Computer Society, (2012)An adaptive power management framework for autonomic resource configuration in cloud computing infrastructures., , and . IPCCC, page 51-60. IEEE Computer Society, (2012)Anomaly detection in large-scale coalition clusters for dependability assurance., , and . HiPC, page 1-10. IEEE Computer Society, (2010)