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dc.contributor.authorAlmohaimeed, Abdulrahman
dc.contributor.authorAsaduzzaman, Abu
dc.identifier.citationA. Almohaimeed and A. Asaduzzaman, "A Novel Moving Target Defense Technique to Secure Communication Links in Software-Defined Networks," 2019 Fifth Conference on Mobile and Secure Services (MobiSecServ), Miami Beach, FL, USA, 2019, pp. 1-4en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractSoftware-defined networking (SDN) is a recently developed approach to computer networking that brings a centralized orientation to network control, thereby improving network architecture and management. However, as with any communication environment that involves message transmission among users, SDN is confronted by the ongoing challenge of protecting user privacy. In this 'Work in Progress (WIP)' research, we propose an SDN security model that applies the moving target defense (MTD) technique to protect communication links from sensitive data leakages. MTD is a security solution aimed at increasing complexity and uncertainty for attackers by concealing sensitive information that may serve as a gateway from which to launch different types of attacks. The proposed MTD-based security model is intended to protect user identities contained in transmitted messages in a way that prevents network intruders from identifying the real identities of senders and receivers. According to the results from preliminary experiments, the proposed MTD model has potential to protect the identities contained in transmitted messages within communication links. This work will be extended to protect sensitive data if an attacker gets access to the network device.en_US
dc.relation.ispartofseries2019 Fifth Conference on Mobile and Secure Services (MobiSecServ);
dc.subjectComputer network attacksen_US
dc.subjectMoving target defense (mtd)en_US
dc.subjectSecure communicationen_US
dc.subjectSoftware-defined networking (SDN)en_US
dc.titleA novel moving target defense technique to secure communication links in software-defined networksen_US
dc.typeConference paperen_US
dc.rights.holder© 2019, IEEEen_US

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