With the advent of malware generation toolkits that automatically generate malware, anyone without a professional skill can easily generate malware. As a result, the number of new/modified malware samples is rapidly increasing. The malware generated in this way attacks vulnerabilities, such as PCs ...
The present thesis addresses the topic of denial of service capabilities detection at malware binary level, with the aim of designing a framework that integrate results from different binary analysis methods and decide on the DDoS capabilities of the analysed malware. We have implemented a process to...
Malware static analysis In static analysis, we examine a sample without executing it. The amount of information that can be obtained this way is large, ranging from something as simple as the name of the file to the more complex, such as specialized YARA signatures. We will be covering a ...
Static analysisDynamic analysisMalware classificationMachine learningN-gramFeature ExtractionThe number of malware is increasing rapidly regardless of the common use of anti-malware software. Detection of malware continues to be a challenge as attackers device new techniques to evade from the detection ...
Malware detection is an important challenge in the field of information security. The paper proposes a novel method using deep learning based on static analysis. Deep learning has stronger nonlinear expression ability than shallow learning, so it has received much attention from scholar and ...
The malchive serves as a compendium for a variety of capabilities mainly pertaining to malware analysis, such as scripts supporting day to day binary analysis and decoder modules for various components of malicious code. The goals behind the 'malchive' are to: Allow teams to centralize efforts ...
static analysismachine learningdata miningMobile malware has been growing in scale and complexity as smartphone usage continues to rise. Android has surpassed ... SY Yerima,S Sezer,G Mcwilliams,... - IEEE Computer Society 被引量: 86发表: 2016年 MobSafe: cloud computing based forensic analysis ...
As smartphones is now one of the gadgets that widely used, it has greatly stimulated the spreadof mobile malware, especially on Android platform. Android phones are one of the smartphonesthat were and continue to be a prime target of hackers. Thus, this research is about analysis ofAndroid ...
An open source script to perform malware static analysis on Portable Executable - GitHub - 0x0be/PEpper: An open source script to perform malware static analysis on Portable Executable
Specifically, we train Hidden Markov Models (HMMs) on both static and dynamic feature sets and compare the resulting detection rates over a substantial number of malware families. We also consider hybrid cases, where dynamic analysis is used in the training phase, with static techniques used in ...