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Download Advances in Information and Computer Security: 11th by Kazuto Ogawa, Katsunari Yoshioka PDF

By Kazuto Ogawa, Katsunari Yoshioka

This booklet constitutes the refereed complaints of the eleventh foreign Workshop on defense, IWSEC 2016, held in Tokyo, Japan, in September 2016. The 15 typical papers and four brief papers awarded during this quantity have been rigorously reviewed and chosen from fifty three submissions. They have been equipped in topical sections named: approach safety; searchable encryption; cryptanalysis; permutation and symmetric encryption; privateness maintaining; safeguard; post-quantum cryptography; and paring computation.

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Read or Download Advances in Information and Computer Security: 11th International Workshop on Security, IWSEC 2016, Tokyo, Japan, September 12-14, 2016, Proceedings PDF

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Extra resources for Advances in Information and Computer Security: 11th International Workshop on Security, IWSEC 2016, Tokyo, Japan, September 12-14, 2016, Proceedings

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Simulations of the Hybrid Risk Assessment Model which defence in depth is implemented: all the hosts of a subnet have access to all the hosts of a deeper subnet. In each subnet, all accesses between hosts are authorised. Each host has 30 random vulnerabilities for a maximum total of around 3600 vulnerabilities. 1 Performances To evaluate the performances of the model, we first generate the topological attack graphs of the simulated topologies. Then, for each simulation, we generate one random attack scenario of 7 successive attack steps, to which are added false positives and steps with no sensor information.

In: Second ACM Conference on Data and Application Security and Privacy, CODASPY 2012, San Antonio, TX, USA, 7–9 February 2012, pp. 317–326 (2012) 25. : Dissecting android malware: characterization and evolution. In: IEEE Symposium on Security and Privacy, SP 2012, San Francisco, California, USA, 21–23 May 2012, pp. eu Abstract. Because of the threat posed by advanced multi-step attacks, it is difficult for security operators to fully cover all vulnerabilities when deploying countermeasures. Deploying sensors to monitor attacks exploiting residual vulnerabilities is not sufficient and new tools are needed to assess the risk associated with the security events produced by these sensors.

A FRAM Topological Asset represents the random variable describing the future status of compromise of an asset of the TAG. Its CPT is the same as DRCM Topological Assets without the DRCM Attack Source parent. – The FRAM Attack Source represents the random variable describing that an asset is the source of attack. It is the root of the FRAM. It does not have any parent and its a priori probability is provided by the reconciliation of probability of DRCMs. – A FRAM Attack Step represents the random variable describing that an attack step can be successfully exploited by an attacker.

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