First IEEE Workshop on Information Assurance in
Wireless Sensor Networks (WSNIA 2005)
http://www.csee.umbc.edu/~younis/WSNIA2005.htm
In conjunction with
24th IEEE International Performance Computing and Communications Conference
(IPCCC 2005)
http://ipccc.org/
April 7-9, 2005, Phoenix, Arizona
Recently, there has been a growing interest in the potential use of wireless
sensor networks (WSNs) in applications such as smart environments, disaster
management, combat field reconnaissance, and security surveillance. While
the initial view of the community was that WSNs will play a complementary
role that enhances the quality of these applications, recent research
results have encouraged practitioners to envision an increased reliance on
WSNs in such critical and sensitive applications. Therefore, to realize
their potential, necessary information assurance (IA) measures have to be
incorporated in the design and during the operation of WSNs. IA is usually
specified using attributes like integrity, authenticity, confidentiality,
availability, and survivability. A defense-in-depth approach to IA involves
the activities of attack and failure prevention, detection and response, as
well as the refinement of these activities. The scope of defense-in-depth
may start with a diameter that spans the deployed sensors to a diameter that
includes the command nodes and likely beyond. It also involves assurance at,
and cross-cutting, the protocol stack layers, from physical to application.
Achieving information assurance in WSNs will require non-conventional
mechanisms due to many factors including: (1) sensors are significantly
constrained in the amount of available resources such as energy, storage and
computation; (2) sensors are expected to be deployed in very large numbers
in normal as well as forbidding environments; (3) WSNs suffer from
structural weakness and limited physical protection, and (4) localization of
impact is complicated due to the un-tethered nature of the WSN and of the
potential attackers. In addition, IA requirements may vary according to a
WSN's mission defined over a multi-dimensional context, such as field of
deployment (e.g., hostile versus friendly), type of application (e.g.,
monitoring, tracking, data collection), mode of operation (e.g., normal,
exception, post-event recovery), and time.
This workshop will foster a forum for discussing and presenting recent
research results on IA in WSNs. Best papers will be invited to a Special
Issue of the Journal of Computer Security
(http://www.csl.sri.com/programs/security/jcs/). Topics of interest include,
although not limited to, the following:
* Fault & intrusion-tolerant architectural & operational models
* Robust routing, storage, and processing of sensed data
* Predictable MAC medium access arbitration
* IA architectures and protocols
* Vulnerabilities, attacks and countermeasures
* Monitoring and evaluation techniques
* Scalability and robust clustering techniques
* Resilient virtual infrastructures
* Autonomic IA in WSNs
* Formal representation & verification of assurance properties
* Adaptive security and assurance techniques
* Quality of service provisioning
* Metrics for measuring security, assurance and dependability
* Privacy-aware dependable operation
* Simulation and visualization environments
* Agent-based management for multi-tier WSNs
* WSNs as components of larger information grids
Prospective authors should submit their paper electronically to
toweissy@vt.edu or younis@csee.umbc.edu. Papers should contain original
material and not be previously published, or currently submitted for
consideration elsewhere. The manuscript should not exceed 20 single-column
double-space pages in MS-Word, PS or PDF font size 11 or larger. The first
page should include the title, authors' contact information, an abstract and
five keywords. Authors should attach the abstract to their message.
Submission deadline: November 20, 2004
Decision notification: December 20, 2004
Final manuscript due: January 15, 2005
Workshop Co-Chairs
Mohamed Eltoweissy
Virginia Tech, USA
Mohamed Younis
University of Maryland, USA
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