By Ioannis Askoxylakis, Sotiris Ioannidis, Sokratis Katsikas, Catherine Meadows
The two-volume set, LNCS 9878 and 9879 constitutes the refereed complaints of the twenty first eu Symposium on learn in desktop safeguard, ESORICS 2016, held in Heraklion, Greece, in September 2016.
The 60 revised complete papers offered have been conscientiously reviewed and chosen from 285 submissions. The papers hide a variety of themes in safety and privateness, together with facts safety: platforms protection, community safeguard, entry keep an eye on, authentication, and protection in such rising parts as cloud computing, cyber-physical structures, and the web of Things.
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Extra info for Computer Security – ESORICS 2016: 21st European Symposium on Research in Computer Security, Heraklion, Greece, September 26-30, 2016, Proceedings, Part II
In: Proceedings of 29th IEEE ICDE, pp. 86–97 (2013) 4. : HIFS: history independence for ﬁle systems. In: Proceedings of 20th ACM CCS, pp. 1285–1296 (2013) More Practical and Secure History-Independent Hash Tables 37 5. : Data structures with unpredictable timing. , Ning, P. ) ESORICS 2009. LNCS, vol. 5789, pp. 456–471. Springer, Heidelberg (2009) 6. : Cryptographic methods for storing ballots on a voting machine. In: Proceedings of 14th NDSS, pp. 209–222 (2007) 7. : Strongly history-independent hashing with applications.
In the ﬁrst type of attack, the eavesdropping adversary gains knowledge about the private data using the duration of an abstract-data-type operation of the data structure. An example of such a real-world attack is presented in , where an attacker can measure the execution time of an insertion in a B-tree in order to detect a node split. Using this split detection information, the attacker can recover values from the database table that is under attack. As a means to formally characterize such attacks, Lipton and Naughton  deﬁne a clocked adversary to be an eavesdropping attacker who can accurately time operations of a data structure and who succeeds if he can distinguish whether the system is in a state s1 or state s2 given just the timing information.
The clock-cycle-based events 11h and CCNT yield low average key ranks of 257 and 251 , respectively. We assume that the CCNT shows slightly better results, because once enabled, it is accessible with only one read request to the co-processor 15. All other events are counted such that their corresponding hardware counter has to be selected ﬁrst in order to read its current value. This additional request to the co-processor 15 adds noise to the measurements, but is necessary if multiple events are counted in parallel.