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Download Detection of Intrusions and Malware, and Vulnerability by Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady PDF

By Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady Marinescu (auth.), Ulrich Flegel, Evangelos Markatos, William Robertson (eds.)

This e-book constitutes the refereed post-proceedings of the ninth overseas convention on Detection of Intrusions and Malware, and Vulnerability evaluate, DIMVA 2012, held in Heraklion, Crete, Greece, in July 2012. the ten revised complete papers provided including four brief papers have been conscientiously reviewed and chosen from forty four submissions. The papers are equipped in topical sections on malware, cellular defense, safe layout, and intrusion detection structures (IDS).

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Additional resources for Detection of Intrusions and Malware, and Vulnerability Assessment: 9th International Conference, DIMVA 2012, Heraklion, Crete, Greece, July 26-27, 2012, Revised Selected Papers

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DMA malware must also be efficient, i. , fast enough to find and process data, even when dealing with virtual memory addresses and randomly placed data. Such malware goes beyond the capability to exploit DMA hardware. The main contributions of this work are: – DMA Malware Definition. There are different kinds of code that utilizes DMA. To clearly identify if code should be considered harmless, an attack, or DMA malware, we introduce an appropriate definition. – DMA Malware Core Functionality. We present a number of requirements that must be fulfilled by DMA malware in order to mount successful attacks.

Malware hidden on dedicated hardware. Such malware can circumvent protection mechanisms run on the host CPU by directly accessing host memory. We implemented and evaluated DAGGER, a DmA based keystroke loGGER. The dedicated hardware enables our prototype to benefit from rootkit properties. DAGGER operates stealthily. It is undetectable by anti-virus software etc. DMA malware is more than controlling a DMA engine. Our evaluation confirmed that DMA malware is quite efficient even if obstacles such as memory address randomization are in place.

ACM, New York (2008) 13. : A Virtual Machine Introspection Based Architecture for Intrusion Detection. In: Proc. Network and Distributed Systems Security Symposium (February 2003) 14. : Dynamics of a Trusted Platform: A Building Block Approach. Intel Press (2009) 15. : Computer Architecture: A Quantitative Approach, 3rd edn. Morgan Kaufmann (May 2005) 40 P. Stewin and I. Bystrov 16. : Rootkits: Subverting the Windows Kernel. Addison-Wesley Professional (2005) 17. Intel Corporation: Intel I/O Controller Hub (ICH9) Family.

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