An Expert Anti-Malware Detection System
Richa Bhatnagar1, Mariya Khurshid Ansari2, Sakshi Bhatnagar3, Harshbardhan Barik4
1Richa Bhatnagar, M.Tech(Computer Science) from IIMT, Meerut.
2Mariya Khursid Ansari, Department of Computer Science MIET, Meerut, India.
3Sakshi Bhatnagar, MCA from BIT, Meerut.
4Harshbardhan Barik, Department of Computer Science IIMT, Meerut, India.
Manuscript received on November 01, 2012. | Revised Manuscript received on November 02, 2012. | Manuscript published on November 05, 2012. | PP: 144-147 | Volume-2 Issue-5, November 2012. | Retrieval Number: E1029102512/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The malware expert system is an enhance approach for analyzing malware and other kinds of software. So, it is necessary to develop an effective malware expert system that can analyze, detect, classify and remove the malware codes. This system is necessary because it removes the errors done by human intervention in determining whether the files to be scanned contain any malicious data or not. There are various diverse approaches that were previously used to find and eradicate the malicious codes. But there were some loop- holes in existing strategies like the systems detect false positive malwares. The objective of malware detection expert system is to evaluate sample as malware or non-malware.
Keywords: Anomaly, Adware, False Positive, False Negative, Hit Ratio, PUI (Program Under Inspection), Spyware, Trojan, Virus, Worms.