DocumentCode :
736272
Title :
An advanced algorithm for malware detection
Author :
Khan, Gousia Hazra Anjum ; Dewangan, Kranti Kumar
Author_Institution :
Cyber Security (CSE), ITM University, Raipur, India
fYear :
2015
fDate :
24-25 Jan. 2015
Firstpage :
1
Lastpage :
3
Abstract :
The aim of this paper is to develop a malware detector based upon malware detection algorithm. A malware detection algorithm is build in order to detect any malicious content in a program. The malware writers i.e. hackers use obfuscations to change the detector or evade the software which protect against malware. Thus the malware detectors specially using pattern matching (procedure /system) are vulnerable to these obfuscations used by hackers. And the basic deficiency in this type is the syntactic preference and semantic of instruction´s ignorance. Thus, the algorithm prepared in this paper overcomes such deficiency to detect the malicious contents in a program having such signs. Our advanced enhancement algorithm for malware detection tries to detect all the type of obfuscations been used by the hackers.
Keywords :
Computer hacking; Computers; Detectors; Grippers; Software; Spyware; Malware; Obfuscation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
Type :
conf
DOI :
10.1109/EESCO.2015.7253988
Filename :
7253988
Link To Document :
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