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In this research, we consider the related problem of malware classification based on HMMs. We train HMMs for a variety of malware generators and a variety of compilers. The results of HMM are further classified using k means algorithm but k means algorithm has drawback of stuck into local minima so we optimized the k means with genetic algorithm (GA). Genetic algorithm (GA) tuned k means clustering...
There are various malicious applications (app) in mobile platform, especially for Android devices, it is difficult to develop a model directly for malwares, due to the limitation of application testing samples. In this paper we propose a novel malicious application detection model RT-MAD for Android devices: Real-Time Malicious Application Detection. This model can generate a malicious app space through...
The problem of malware classification has gained the attention of cyber security community due to the following facts: (1) thousands of new malware are generated every day (2) the global losses caused by malware are in billions of dollars every year. In this paper a novel malware classification scheme is proposed that is based on Hidden Markov Models (HMMs) and discriminative classifiers. Sequences...
In the area of malware analysis, static binary analysis techniques are becoming increasingly difficult with the code obfuscation methods and code packing employed when writing the malware. The behavior-based analysis techniques are being used in large malware analysis systems because of this reason. In these dynamic analysis systems, the malware samples are executed and monitored in a controlled environment...
Computer virus is a rapidly evolving threat to the computing community. These viruses fall into different categories and it is generally believed that metamorphic viruses are extremely difficult to detect. The first step to effectively combat a virus is to successfully classify it's family so that past experience can be readily applied to understand it's functionality and apply the right strategy...
Attacks such as XSS and SQL injections are still common in browser extensions due to the presence of potential vulnerabilities in extensions and some extensions are also malicious by design. As a consequence, much effort in the past has been spent on detecting vulnerable and malicious browser extensions. These techniques are limited to only detect either new forms of vulnerable or malicious extensions...
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