Malware Detection using behavior method dot net project report,The sharing of malicious code libraries and techniques over the Internet has vastly increased the release of new malware variants in an unprecedented rate. Malware variants share similar behaviors yet they have different syntactic structure due to the incorporation of many obfuscation and code change techniques such as polymorphism and metamorphism.
The different structure of malware variants poses a serious problem to signature-based detection technique, yet their similar exhibited behaviors and actions can be a remarkable feature to detect them by behavior-based techniques. Malware instances also largely depend on API calls provided by the operating system to achieve their malicious tasks.
In this Malware Detection using behavior method dot net project report paper, we have presented a new metamorphic malware detection framework named MARD that implements the two novel techniques proposed in this paper named ACFG and SWOD-CFWeight, and shown through experimental evaluation its effectiveness for metamorphic malware analysis and real-time detection. We have also compared MARD with other such detection systems.
H/W System Configuration:-
System : Pentium I3 Processor. Hard Disk : 500 GB. Monitor : Standard LED Monitor Input Devices : Keyboard Ram : 4 GB
S/W System Configuration:-
Operating system : Windows 7/8/10. Available Coding Language : JAVA Database : MYSQL
Malware Detection Using Behavior Method
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