semantics-aware malware detectionA malware detector is a system that attempts to determine whether a program has malicious intent. In order to evade detection, malware writers (hackers) frequently use obfuscation to morph malware. Malware detectors that use a pattern-matching approach (such as ...
Experimental evaluation demonstrates that our malware-detection algorithm can detect variants of malware with a relatively low run-time overhead. Moreover our semantics-aware malware detection algorithm is resilient to common obfuscations used by hackers. 展开 ...
Eckert. Adaptive Semantics-Aware Malware Classification. In Conference on Detection of Intru- sions and Malware & Vulnerability Assessment (DIMVA), 2016.B. Kolosnjaji, A. Zarras, T. Lengyel, G. Webster, and C. Eckert, "Adap- tive semantics-aware malware classification," in Detection of ...
Semantics aware adversarial malware examples generation for black-box attacks 来自 国家科技图书文献中心 喜欢 0 阅读量: 200 作者:X Peng,H Xian,Q Lu,X Lu 摘要: Adversarial pseudo-benign examples can be generated to evade malware detection algorithms based on deep learning. Current works on ...
Identification of semantics-aware solutions that could help distinguish common from advanced attacks; Comprehensive review of host-based, network-based, and multi-source data providers and analysis approaches that, if utilized accordingly, could contribute to targeted attack detection. ...
As a concrete application of our approach, we show that the semantics-aware malware detector proposed by Christodorescu et al. is complete with respect to a number of common obfuscations used by malware writers.Mila Dalla PredaMihai ChristodorescuSomesh JhaSaumya DebrayACM SIGPLAN Notices: A ...
Semantics-Aware Malware Detection A malware detector is a system that attempts to determine whether a program has malicious intent. In order to evade detection, malware writers (hackers) fr... M Christodorescu,S Jha,SA Seshia,... - IEEE Symposium on Security & Privacy 被引量: 1151发表: ...
Zhao, "Semantics-Aware Android malware classification using weighted contextual API dependency graphs," in Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Se- curity, ser. CCS '14. ACM, 2014, pp. 1105-1116.Zhang, M., Duan, Y., Yin, H., &...
We demonstrate the efficacy of semantics-aware analysis in different security applications: automatic discovery of patterns in honeypot data, analysis of malware communication and network intrusion detection.doi:10.1007/978-3-642-19896-0_5Tammo Krueger...
The emergence of WebAssembly allows attackers to hide the malicious functionalities of JavaScript malware in cross-language interoperations, termed JavaScript-WebAssembly multilingual malware (JWMM). However, existing anti-virus solutions based on static