A cloud-based energy efficient system for enhancing the detection and prevention of modern malware

Proceedings - International Conference on Advanced Information Networking and Applications, AINA

Volumn 2016-May, Issue , 2016, Pages 754-761

  Mirza, Qublai Khan Ali ^a   Mohi Ud Din, Ghulam ^a   Awan, Irfan ^a  

^a UNIVERSITY OF BRADFORD   (United Kingdom)

Author keywords

Antiviruses; Cloud based; Cyber attacks; Energy efficient; Malware; Malware detection; PE files; PEFrame; Vulnerabilities

Indexed keywords

COMPUTER CRIME; ENERGY EFFICIENCY;

ANTIVIRUSES; CLOUD-BASED; CYBER-ATTACKS; ENERGY EFFICIENT; MALWARE DETECTION; PE FILES; PEFRAME; VULNERABILITIES;

MALWARE;

EID: 84988961117     PISSN: 1550445X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AINA.2016.133     Document Type: Conference Paper

References (18)

1. S. K. Cha, I. Moraru, J. Jang, J. Truelove, D. Brumley, and D. G. Andersen, "SplitScreen: Enabling efficient, distributed malware detection, " Commun. Netw. J. Of, vol. 13, no. 2, pp. 187-200, 2011.
2. J. Oberheide, E. Cooke, and F. Jahanian, "CloudAV: N-Version Antivirus in the Network Cloud, " University of Michigan, 2008.
3. "A Brief History of Malware Obfuscation: Part 1 of 2, " blogs@Cisco-Cisco Blogs. [Online]. Available: http: //blogs. cisco. com/security/a-brief-history-of-malware-obfuscati on-part-1-of-2/. [Accessed: 05-Aug-2014].
4. I. You and K. Yim, "Malware Obfuscation Techniques: A Brief Survey, " 2010, pp. 297-300.
5. J. Bergeron and M. Debbabi, "Static Detection of Malicious Code in Executable Programs. " [Online]. Available: http: //citeseerx. ist. psu. edu/viewdoc/download?doi=10. 1. 1. 102. 6845&r ep=rep1&type=pdf. [Accessed: 12-Aug-2015].
6. Sky News, "Antivirus Is 'Dead' Says Norton Software Boss, " Sky News, 06-May-2014. [Online]. Available: http: //news. sky. com/story/1256251/antivirus-is-dead-says-nortonsoftware-boss. [Accessed: 07-Jul-2015].
7. X. Chen, J. Andersen, Z. M. Mao, M. Bailey, and J. Nazario, "Towards an understanding of anti-virtualization and anti-debugging behavior in modern malware, " in IEEE International Conference on Dependable Systems and Networks with FTCS and DCC, 2008. DSN 2008, 2008, pp. 177-186.
8. M. Sikorski and A. Honig, Practical malware analysis the hands-on guide to dissecting malicious software. San Francisco: No Starch Press, 2012.
9. D. Bruschi, M. Lorenzo, and M. Monga, "Detecting self-mutating malware using control-flow graph matching, " in Detection of Intrusions and Malware & Vulnerability Assessment, vol. 4064, 2006, pp. 129-143.
10. E. Chien, "Techniques of adware and spyware, " in the Proceedings of the Fifteenth Virus Bulletin Conference, Dublin Ireland, 2005, vol. 47.
11. M. Christodorescu and S. Jha, "Testing Malware Detectors, " in Proceedings of the 2004 ACM SIGSOFT International Symposium on Software Testing and Analysis, New York, NY, USA, 2004, pp. 34-44.
12. McAfee, "Net Losses: Estimating the Global Cost of Cybercrime, " Center for Strategic and International Studies, Jun. 2014.
13. M. Glover, "Fast virus scanning, " US6763466 B1, 13-Jul-2004.
14. "Avira Free Antivirus | Download the Best Free Antivirus Software, " Avira. [Online]. Available: https: //www. Avira. com/en/avira-freeantivirus. [Accessed: 30-Oct-2015].
15. OpenIOC, "Sophisticated Indicators for the Modern Threat Landscape: An Introduction to OpenIOC, " OpenIOC, White Paper.
16. D. Wilson, "The History of OpenIOC " Threat Research, " FireEye, 17-Sep-2013. [Online]. Available: https: //www. fireeye. com/blog/threatresearch/ 2013/09/history-openioc. html. [Accessed: 31-Oct-2015].
17. "Understanding Indicators of Compromise (IOC) Part I, " Speaking of Security-The RSA Blog and Podcast. [Online]. Available: https: //blogs. rsa. com/understanding-indicators-of-compromise-iocpart-i/. [Accessed: 16-Nov-2014].
18. Hun-Ya Lock and Adam Kliarsky, "Using IOC (Indicators of Compromise) in Malware Forensics, " SANS Institute InfoSec Reading Room, Feb. 2013.