Survey on representation techniques for malware detection system

• Main Authors: Mohamed, Gamal Abdel Nassir, Ithnin, Norafida
• Format: Article
• Language: English
• Published: Science Publications 2017
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/80729/1/NorafidaIthnin2017_SurveyonRepresentationTechniquesforMalwareDetection.pdf; http://eprints.utm.my/id/eprint/80729/; https://dx.doi.org/10.3844/ajassp.2017.1049.1069

Malicious programs are malignant software’s designed by hackers or cyber offenders with a harmful intent to disrupt computer operation. In various researches, we found that the balance between designing an accurate architecture that can detect the malware and track several advanced techniques that malware creators apply to get variants of malware are always a difficult line. Hence the study of malware detection techniques has become more important and challenging within the security field. This review paper provides a detailed discussion and full reviews for various types of malware, malware detection techniques, various researches on them, malware analysis methods and different dynamic programmingbased tools that could be used to represent the malware sampled. We have provided a comprehensive bibliography in malware detection, its techniques and analysis methods for malware researchers.