Download Detection of Intrusions and Malware, and Vulnerability by Juan Caballero, Urko Zurutuza, Ricardo J. Rodríguez PDF
By Juan Caballero, Urko Zurutuza, Ricardo J. Rodríguez
This ebook constitutes the refereed complaints of the thirteenth foreign convention on Detection of Intrusions and Malware, and Vulnerability review, DIMVA 2016, held in San Sebastián, Spain, in July 2016.
The 19 revised complete papers and a pair of prolonged abstracts offered have been rigorously reviewed and chosen from sixty six submissions. They current the cutting-edge in intrusion detection, malware research, and vulnerability review, facing novel principles, recommendations, and functions in very important components of machine safeguard together with vulnerability detection, assault prevention, net safeguard, malware detection and class, authentication, facts leakage prevention, and countering evasive ideas comparable to obfuscation.
Read Online or Download Detection of Intrusions and Malware, and Vulnerability Assessment: 13th International Conference, DIMVA 2016, San Sebastián, Spain, July 7-8, 2016, Proceedings PDF
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Extra info for Detection of Intrusions and Malware, and Vulnerability Assessment: 13th International Conference, DIMVA 2016, San Sebastián, Spain, July 7-8, 2016, Proceedings
Sample text
In: Proceedings of the Network and Distributed Systems Security Symposium, February 2003 14. : A virtual machine introspection based architecture for intrusion detection. In: Proceedings of the Network and Distributed Systems Security Symposium, pp. 191–206 (2003) 15. : A practical approach for generic bootkit detection and prevention. In: EuroSec (2014) 16. : The confused deputy: (or why capabilities might have been invented). SIGOPS Oper. Syst. Rev. 22(4), 36–38 (1988) 17. : Exposing bootkits with bios emulation.
B¨ ottinger and C. Eckert is chosen and comprehensively described in [4], where the purpose of assigning probabilities to paths is to provide estimates of likelihood of executing portions of a program in the setting of general software evaluation. In contrast to this we are interested in deep fuzzing and therefore must guarantee maximal possible sample generation in a fixed amount of time. To illustrate this more clearly, consider two sets of constraints ΦA and ΦB with (non-empty) solution sets A and B.
213–223. ACM (2005) 6. : SAGE: whitebox fuzzing for security testing. Commun. ACM 55(3), 40–44 (2012) 7. : Automated whitebox fuzz testing. In: NDSS, vol. 8, pp. 151–166 (2008) 8. : Hybrid concolic testing. In: 29th International Conference on Software Engineering, 2007, ICSE 2007, pp. 416–426. IEEE (2007) 9. : Triton: a dynamic symbolic execution framework. In: Symposium sur la s´ecurit´e des technologies de l’information et des communications, SSTIC, France, Rennes, 3–5 June 2015, pp. 31–54. SSTIC (2015) 10.