By Benoît Libert, Moti Yung (auth.), Chuan-Kun Wu, Moti Yung, Dongdai Lin (eds.)
This booklet constitutes the completely refereed post-conference court cases of the seventh overseas convention on details defense and Cryptology, Inscrypt 2011, held in Beijing, China, in November/December 2011. The 24 revised complete papers provided including 2 invited talks have been rigorously reviewed and chosen from eighty submissions. The papers current examine advances within the components of knowledge safety, cryptology, and their applications.
Read Online or Download Information Security and Cryptology: 7th International Conference, Inscrypt 2011, Beijing, China, November 30 – December 3, 2011. Revised Selected Papers PDF
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Additional resources for Information Security and Cryptology: 7th International Conference, Inscrypt 2011, Beijing, China, November 30 – December 3, 2011. Revised Selected Papers
Sample text
Nevertheless, when the executables are compared against the mean vector, the results obtained improve and in some occasions are even better than the ones achieved for the less reduced dataset (Euclidean distance with Max selector, in Fig. 6(c), and Manhattan distance with Max and Min selectors in Fig. 6(d) and Fig. 6(f)). , vectors 38 X. Ugarte-Pedrero, I. G. Bringas Table 2. Results for the different reduced datasets, combination rules and distance measures. Our method is able to detect more than 99% of the packed executables while maintaining FPR lower than 1%.
In this way, we can distinguish 3 different phases in the experiment: – Feature Extraction and Normalization. The first step in the experiment was to extract the characteristics from the executables and to calculate values such as entropy or size ratios. Once extracted, these features were normalised to obtain a value ranging from 0 to 1 for each point in the feature space. This stage was performed in a virtual machine to keep all malware samples isolated from the host system and to prevent any possible infection.
This code extracts the real payload from memory and executes it. Some reports claim that up to an 80% of the malware analysed is packed [2]. Traditional anti-virus systems apply signature scanning to identify malicious code. This technique has been also applied to detect executables protected with well known packers by scanning for certain byte sequences. PEID [3] is able to detect a wide range of well-known packers. Besides, Faster Universal Unpacker (FUU) [4] tries to identify the packer utilised to hide the original code and then applies custom unpacking routines designed and written for each packer.