Award Abstract # 0844111
CAREER: Securing Channel Access in Multi-Channel Ad Hoc Networks

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF ARIZONA
Initial Amendment Date: August 11, 2009
Latest Amendment Date: March 11, 2014
Award Number: 0844111
Award Instrument: Standard Grant
Program Manager: Sylvia Spengler
sspengle@nsf.gov
 (703)292-7347
CNS
 Division Of Computer and Network Systems
CSE
 Direct For Computer & Info Scie & Enginr
Start Date: September 1, 2009
End Date: August 31, 2014 (Estimated)
Total Intended Award Amount: $405,000.00
Total Awarded Amount to Date: $405,000.00
Funds Obligated to Date: FY 2009 = $405,000.00
ARRA Amount: $405,000.00
History of Investigator:
  • Loukas Lazos (Principal Investigator)
    llazos@email.arizona.edu
Recipient Sponsored Research Office: University of Arizona
845 N PARK AVE RM 538
TUCSON
AZ  US  85721
(520)626-6000
Sponsor Congressional District: 07
Primary Place of Performance: University of Arizona
845 N PARK AVE RM 538
TUCSON
AZ  US  85721
Primary Place of Performance
Congressional District:
07
Unique Entity Identifier (UEI): ED44Y3W6P7B9
Parent UEI:
NSF Program(s): TRUSTWORTHY COMPUTING
Primary Program Source: 01R00910DB RRA RECOVERY ACT
Program Reference Code(s): 1045, 6890, 9218, HPCC
Program Element Code(s): 779500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.082

ABSTRACT

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).

CAREER: Securing Channel Access in Multi-Channel Ad Hoc Networks
Proposal ID: 0844111
PI?s Name: Loukas Lazos
University of Arizona
Award Abstract

An increasing number of mobile users rely on wireless technologies to gain secure and uninterrupted access to network services. As the volume of data disseminated via the wireless medium rapidly expands, provision of performance, reliability, and security become challenging problems. These problems can be alleviated by the use of multiple orthogonal frequency bands (channels) that has been demonstrated to substantially reduce contention and interference. However, for systems with poor physical security and lack of centralized resource allocation such as ad hoc, sensor, and cognitive radio networks, a multitude of internal and external attacks against the medium channel access mechanisms can negate any gains due to channelization.
Most previous adversary models and protection methods are limited to single-channel networks thus ignoring the additional vulnerabilities and complexities of channelization. This project aims to advance our understanding regarding the feasible space of attacks against channel access. We design secure multi-channel access techniques, focusing on the protection of control traffic, collaborative attack detection, and uncoordinated medium sharing. Moreover, for networks with dynamic spectrum such as cognitive radio networks, we develop verifiable channel sensing methods. Central to this effort is our definition of quantitative security metrics under well defined adversarial models. Conducted research is expected to enforce wireless networks with the very much needed guarantees in security and performance.
In the educational domain, this project seeks to expose undergraduate and graduate students to fundamental problems from interdisciplinary fields in computer engineering, information science, and mathematics.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 13)
Milan Bradonjic, and Loukas Lazos "Graph-based Criteria for Spectrum-Aware Clustering in Cognitive Radio Networks" Ad hoc networks , v.10 , 2012 , p.75 10.1016/j.adhoc.2011.05.009
Loukas Lazos and Marwan Krunz "Selective Jamming/Dropping Insider Attacks in Wireless Mesh Networks" IEEE Network , v.25 , 2011 , p.1 10.1109/MNET.2011.5687950
Sisi Liu, Loukas Lazos, and Marwan Krunz "Cluster-based Control Channel Allocation in Opportunistic Cognitive Radio Networks" IEEE Transactions on Mobile Computing , v.10 , 2012 , p.1436 10.1109/TMC.2012.33
Bradonjic, M; Lazos, L "Graph-based criteria for spectrum-aware clustering in cognitive radio networks" AD HOC NETWORKS , v.10 , 2012 , p.75 View record at Web of Science 10.1016/j.adhoc.2011.05.00
Lazos, L; Krunz, M "Selective Jamming/Dropping Insider Attacks in Wireless Mesh Networks" IEEE NETWORK , v.25 , 2011 , p.30 View record at Web of Science 10.1109/MNET.2011.568795
Liu, SS; Lazos, L; Krunz, M "Thwarting Control-Channel Jamming Attacks from Inside Jammers" IEEE TRANSACTIONS ON MOBILE COMPUTING , v.11 , 2012 , p.1545 View record at Web of Science 10.1109/TMC.2011.16
Proano, A; Lazos, L "Packet-Hiding Methods for Preventing Selective Jamming Attacks" IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING , v.9 , 2012 , p.101 View record at Web of Science 10.1109/TDSC.2011.4
Yan Zhang and Loukas Lazos "Vulnerabilities of Cognitive Radio MAC Protocols and Countermeasures" IEEE Network , v.27 , 2013 , p.1-5 10.1109/MNET.2013.6523807
Yu Zhang, Loukas Lazos, and William Kozma "AMD: Audit-based Misbehavior Detection in Wireless Ad Hoc Networks" IEEE Transactions on Mobile Computing , 2012 , p.1-14 10.1109/TMC.2012.257
Bradonjic, Milan and Lazos, Loukas "Graph-based criteria for spectrum-aware clustering in cognitive radio networks" Ad Hoc Networks , v.10 , 2012 , p.75--94 10.1016/j.adhoc.2011.05.009
Alejandro Proano and Loukas Lazos "Packet-hiding methods for preventing selective jamming attacks" IEEE Transactions on Dependable and Secure Computing , v.9 , 2012 , p.101-114 10.1109/TDSC.2011.41
(Showing: 1 - 10 of 13)

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