Title :
A Practical Taint-Based Malware Detection
Author :
Zhang, Xiao-Song ; Zhi, Liu ; Chen, Da-peng
Author_Institution :
Comput. Sci. & Eng. Dept., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
Malware has posted a great risk to the privacy of users and data. Unfortunately, current anomaly detection is both coarse-grained and ineffective to detect them, because some behaviors can only be triggered in specific circumstances, moreover, it is difficult to analyze and evaluate compromised data. In this paper, we address the two problems via taint-based analysis. First, we precisely characterize malware behaviors in virtual environments, where behaviors can be completely explored by tainting return values of security-related system calls in order to traverse multiple execution branches. Second, sensitive data are also tainted to track their propagation to determine whether they are transmitted maliciously. A supporting distributed architecture is presented to optimize efficiency. Our approach is an effective complement to current anomaly-based models. The initial experiment demonstrates our system can detect a variety of malware with high accuracy and low overhead.
Keywords :
data privacy; invasive software; anomaly detection; data privacy; malware detection; security-related system calls; supporting distributed architecture; taint-based analysis; Computer architecture; Computer science; Computer worms; Data engineering; Data mining; Data privacy; Fingerprint recognition; Invasive software; Virtual environment; Viruses (medical); Malware; taint analysis; virtual environments;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3427-5
Electronic_ISBN :
978-1-4244-3426-8
DOI :
10.1109/ICACIA.2008.4769974