CloudEyes: Cloud-based malware detection with reversible sketch for resource-constrained internet of things (IoT) devices

Author:

Sun Hao1ORCID,Wang Xiaofeng1,Buyya Rajkumar2,Su Jinshu13

Affiliation:

1. College of Computer; National University of Defense Technology; Changsha 410073 Hunan China

2. Cloud Computing and Distributed Systems Laboratory, Department of Computing and Information Systems; University of Melbourne; Melbourne VIC 3010 Australia

3. National Key Laboratory for Parallel and Distributed Processing; National University of Defense Technology; Changsha 410073 Hunan China

Funder

National Natural Science Foundation of China

Guangxi cooperative innovation center of cloud Computing and big data

Distinguished young scientist promotion of National University of Defense Technology

Changjiang Scholars and Innovative Research Team in University

Publisher

Wiley

Subject

Software

Reference29 articles.

1. The internet of things vision: Key features, applications and open issues;Borgia;Computer Communications,2014

2. Internet of things (IoT): A vision, architectural elements and future directions;Gubbi;Future Generation Computer Systems,2013

3. Mcafee threats report: fourth quarter 2014 http://www.mcafee.com/us/mcafee-labs.aspx

4. Survey on secure communication protocols for the internet of things;Nguyen;Ad Hoc Networks,2015

5. Cha SK Moraru I Jang J Truelove J Brumley D Andersen DG Splitscreen: enabling efficient, distributed malware detection Proceedings of the 7th USENIX Conference on Networked Systems Design and Implementation (NSDI'10) USENIX Association Berkeley, CA, USA 2010 12 25

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