Security and Privacy Protection in Information Processing by Rafiqul Islam, Irfan Altas, Md. Saiful Islam (auth.), Lech
By Rafiqul Islam, Irfan Altas, Md. Saiful Islam (auth.), Lech J. Janczewski, Henry B. Wolfe, Sujeet Shenoi (eds.)
This ebook constitutes the refereed complaints of the twenty eighth IFIP TC eleven overseas details safeguard and privateness convention, SEC 2013, held in Auckland, New Zealand, in July 2013. The 31 revised complete papers awarded have been conscientiously reviewed and chosen from eighty three submissions. The papers are geared up in topical sections on malware, authentication and authorization, community security/cryptography, software program protection, coverage compliance and responsibilities, privateness defense, danger research and safeguard metrics, social engineering, and protection management/forensics.
Read or Download Security and Privacy Protection in Information Processing Systems: 28th IFIP TC 11 International Conference, SEC 2013, Auckland, New Zealand, July 8-10, 2013. Proceedings PDF
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Extra resources for Security and Privacy Protection in Information Processing Systems: 28th IFIP TC 11 International Conference, SEC 2013, Auckland, New Zealand, July 8-10, 2013. Proceedings
In: 2010 43rd Hawaii International Conference on System Sciences (HICSS), pp. 1–10 (January 2010) 2. : FlipIt: the game of “Stealthy takeover”. Technical Report 103 (2012) 3. : Stochastic Epidemic Models and Their Statistical Analysis. Springer (July 2000) 4. : A contribution to the mathematical theory of epidemics. Proceedings of the Royal Society of London. Series A 115(772), 700–721 (1927) 5. : Contributions to the mathematical theory of epidemics. II. the problem of endemicity. Proceedings of the Royal Society of London.
However, the removal tool does not encompass immunisation functionality. Thus, when an infected node removes the worm it returns back to the susceptible state where it can subsequently be reinfected. However, if an infected node uses both the remove tool and the patch against the worm then it moves to recovery state where it is immune against the specific worm. For each of the three security strategies we set up differential mathematical expressions, as in SIR and SIS models, which describe the dynamics of the system.
In: Proc. of the 1st ACM Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM 2011), pp. 15–26. ACM (2011) 8. : Detecting metamorphic malwares using code graphs. In: Proc. of the 2010 ACM Symposium on Applied Computing (SAC 2010), pp. 1970–1977. ACM (2010) 9. : Taintdroid: an information-ﬂow tracking system for realtime privacy monitoring on smartphones. In: Proc. of the 9th USENIX Conference on Operating Systems Design and Implementation (OSDI 2010), pp. 1–6. USENIX Association (2010) 10.