NDLI: On security vulnerabilities and mitigation in the cognition cycle of Distributed Cognitive Radio Networks

Content Provider	IEEE Xplore Digital Library
Author	Yau, K.-L.A. Komisarczuk, P. Poh, G.S. Martin, K.M.
Copyright Year	2011
Description	Author affiliation: Inf. Security Cluster, Mimos Berhad, Malaysia (Poh, G.S.) \|\| Inf. Security Group, Univ. of London, London, UK (Martin, K.M.) \|\| Sch. of Comput. & Technol., Univ. of West London, London, UK (Komisarczuk, P.) \|\| Sch. of Comput. Technol., Sunway Univ., Bandar Sunway, Malaysia (Yau, K.-L.A.)
Abstract	Cognitive Radio (CR) enables unlicensed or Secondary Users (SUs) to operate in underutilized spectrum (or white spaces) owned by licensed or Primary Users (PUs) conditional upon PU encountering acceptable interference levels. A Distributed Cognitive Radio Network (DCRN) is a distributed wireless network established by a number of SUs in the absence of fixed network infrastructure such as a base station. Cognition Cycle (CC) is the key concept of CR to provide intelligence to SUs so that they are able to sense for white spaces and carry out an optimal or near-optimal joint action on its operating environment for network-wide performance enhancement. The CC can be applied in various applications in DCRNs such as dynamic channel selection, topology management, congestion control, and scheduling. Popular artificial intelligence approaches such as Reinforcement Learning (RL) have been widely applied to realize the conceptual CC. As with other computer networks, there are security aspects in DCRN but the research into them is still in its infancy. To the best of our knowledge, no attempt has been made to date to investigate security vulnerabilities in DCRN as a result of the application of RL. This paper aims to spark new research interest in this area. We provide our initial investigation on security vulnerabilities, as well as their mitigation, in RL-based applications in DCRNs.
Sponsorship	IEEE Victorian Sect.
Starting Page	132
Ending Page	137
File Size	376477
Page Count	6
File Format	PDF
ISBN	9781467307680
e-ISBN	9781467307697
DOI	10.1109/IB2Com.2011.6217907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning Cognition cycle Authentication Reinforcement learning Cognition Cognitive radio Cryptography Security Joints
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Survey of Security threats and attacks in cognitive radio networks

Applications of Reinforcement Learning to Cognitive Radio Networks

Performance analysis of Reinforcement Learning for achieving context-awareness and intelligence in Cognitive Radio networks

Security in Cognitive Radio Networks: Threats and Mitigation

Prevention against threats to self co-existence - A novel authentication protocol for cognitive radio networks

Trust-Based Security for Community-Based Cognitive Radio Networks

Enhancing network performance in Distributed Cognitive Radio Networks using single-agent and multi-agent Reinforcement Learning

Achieving Context Awareness and Intelligence in Distributed Cognitive Radio Networks: A Payoff Propagation Approach

Research on the Key Agreement and Authentication of Cognitive Radio Networks

On security vulnerabilities and mitigation in the cognition cycle of Distributed Cognitive Radio Networks

Similar Documents

Survey of Security threats and attacks in cognitive radio networks

Applications of Reinforcement Learning to Cognitive Radio Networks

Performance analysis of Reinforcement Learning for achieving context-awareness and intelligence in Cognitive Radio networks

Security in Cognitive Radio Networks: Threats and Mitigation

Prevention against threats to self co-existence - A novel authentication protocol for cognitive radio networks

Trust-Based Security for Community-Based Cognitive Radio Networks

Enhancing network performance in Distributed Cognitive Radio Networks using single-agent and multi-agent Reinforcement Learning

Achieving Context Awareness and Intelligence in Distributed Cognitive Radio Networks: A Payoff Propagation Approach

Research on the Key Agreement and Authentication of Cognitive Radio Networks

On security vulnerabilities and mitigation in the cognition cycle of Distributed Cognitive Radio Networks