Skip navigation

Strengthening the security of cognitive packet networks

Strengthening the security of cognitive packet networks

Lent, Ricardo, Sakellari, Georgia ORCID: 0000-0001-7238-8700 and Loukas, George ORCID: 0000-0003-3559-5182 (2014) Strengthening the security of cognitive packet networks. International Journal of Advanced Intelligence Paradigms, 6 (1). pp. 14-27. ISSN 1755-0386 (Print), 1755-0394 (Online) (doi:

PDF (Author's Accepted Manuscript)
9954_LOUKAS_Strengthening_the_Security_2014.pdf - Accepted Version

Download (890kB)


Route selection in cognitive packet networks (CPNs) occurs continuously for active flows and is driven by the users' choice of a quality of service (QoS) goal. Because routing occurs concurrently to packet forwarding, CPN flows are able to better deal with unexpected variations in network status, while still achieving the desired QoS. Random neural networks (RNNs) play a key role in CPN routing and are responsible to the next-hop decision making of CPN packets. By using reinforcement learning, RNNs' weights are continuously updated based on expected QoS goals and information that is collected by packets as they travel on the network experiencing the current network conditions. CPN's QoS performance had been extensively investigated for a variety of operating conditions. Its dynamic and self-adaptive properties make them suitable for withstanding availability attacks, such as those caused by worm propagation and denial-of-service attacks. However, security weaknesses related to confidentiality and integrity attacks have not been previously examined. Here, we look at related network security threats and propose mechanisms that could enhance the resilience of CPN to confidentiality, integrity and availability attacks.

Item Type: Article
Uncontrolled Keywords: network security, cognitive packet network, network performance, integrity, confidentiality
Subjects: Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:
Last Modified: 26 Nov 2020 22:35

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics