CFP: IEEE SECURECOMM SECOVAL'06, IEEE Xplore and JoATC proceedings, 2nd Workshop on the Va...

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CALL FOR PAPERS - SECOVAL 2006 - The Value of Security through Collaboration

in cooperation with IEEE/CREATE-NET SECURECOMM'06, .

As last year, all accepted papers will appear on the SECURECOMM CDs and in
IEEE Xplore.
Then, the best contributions will be revised and extended for publication in
a special issue of the Journal of Autonomic and Trusted Computing published
by American Scientific Publishers.

Sep. 2, 2006, Baltimore, MD, USA

Aims and scope of the SECOVAL Workshop:

Security is usually centrally managed, for example in a form of policies
duly executed by individual nodes. The SECOVAL workshop covers the
alternative trend of using collaboration and trust to provide security.
Instead of centrally managed security policies, nodes may use specific
knowledge (both local and acquired from other nodes) to make
security-related decisions.
For example, in reputation-based schemes, the reputation of a given node
(and hence its security access rights) can be determined based on the
recommendations of peer nodes.
As systems are being deployed on ever-greater scale without direct
connection to their distant home base, the need for self-management is
rapidly increasing. Interaction after interaction, as the nodes collaborate,
there is the emergence of a digital ecosystem.
By guiding the local decisions of the nodes, for example, with whom the
nodes collaborate, global properties of the ecosystem where the nodes
operate may be guaranteed. Thus, the security property of the ecosystem may
be driven by self-organising mechanisms. Depending on which local
collaboration is preferred, a more trustworthy ecosystem may emerge.

The research addressed by the workshop can be roughly divided into three
main areas, each answering the related research questions. Contributions
should address at least one of these areas. It is expected that the workshop
will address all of them.

1. It is necessary to define the reasoning behind current trends in security
through collaboration. Does such security solve security issues that cannot
be tackled by traditional security solutions? What is the added value of
security through collaboration?
In the same line of thought, we should investigate the value of trust as a
foundation of security. Specifically, changes to the nature of the security
perimeter and possible pervasiveness of trust-based security through
collaboration require investigation regarding scalability of such solutions
in a world,
as envisioned by Weiser, where billions of computing entities are woven into
the fabrics. Further, we should address the dynamics of such security that
makes it possible to draw from trusted entities (both human and computers)
and extend trust towards strangers, possibly through the self-learning of
individual nodes.

2. The second set of contributions is expected to address the different
approaches to and models of security through collaboration. Models of
security and trust used for security through collaboration should take into
account several aspects of trust evaluation,
including trust collection of evidence, the underlying trust methodology and
model, the decision making process and the learning process. Reputation
schemes have been already mentioned as one example, but there are several
other possible collaboration models, rewarding for example individual
experience or centrally managed evidence.
Further, models may consist of collaboration supervised by administrators or
users or collaboration that is fully automated,
where the computing entities collaborate without human intervention and make
security decisions on behalf of their owners. Self-organising and
self-management mechanisms seem to be important for the emergence of a more
trustworthy ecosystem of collaborating nodes.

3. Security through collaboration brings its own unique set of problems and
risks. For example, privacy can be impacted by different aspects of
collaboration, as more information about individuals may lead to better
trust estimates. This inevitable breach of privacy may affect not only
but may also propagate through the network of relationships. Further,
collaboration invites new types of attacks that require new threat analysis.
A well-known example of the vulnerabilities introduced by implicit trust
relations is the Internet Worm that penetrated 5% of the Internet in 1988:
once logged into one machine,
remote login into another machine part of the trust relations did not
require another login/password check. Of course, many possible types of
attack on different trust metrics exist, including identity usurpation
attacks and identity multiplicity attacks such as Douceur's Sybil attack.
Further, certain network topologies can be more vulnerable to specific forms
of attacks and certain network nodes (e.g. most trusted ones) can be more
likely to be attacked, which raises questions regarding additional
protection such nodes may require.

Topics of interest to the workshop include, but are not limited to:

* Approaches to security through collaboration

* Specificities of security through collaboration

* Trust methodologies, models and metrics

* Interoperability and standardization of trust metrics

* Value and meaning of trust

* Trust-based security decision process

* Security based on reputation and recommendations

* Self-organisation mechanisms for a more secure digital ecosystem

* The role of emergence in dynamic trust models

* Collaborative autonomic computing

* Value and models of networks of collaborators and information sharing

* Threat and risk analysis of security through collaboration

* Attacks due to collaboration and mitigation of these attacks

* Technical trust of the underlying infrastructure used for deployment

* Costs and benefits of trust and collaboration based security compared to
other models

* Privacy and legal aspects of security through collaboration

Submission guidelines are posted on the SECOVAL 2006 website
( /), which always contains the latest
Authors are invited to submit papers formatted according to IEEE conference
style 2-column (from a 2-page extended abstract to 10 pages limit).
Paper submissions should be sent via the online management system available
at /.
Submissions will be accepted until 23.59 PM GMT, May 10, 2006.

For more information please visit: or send
an email to


May 10, 2006: Paper submissions (until 23:59 PM GMT)

June 1, 2006: Author notification

June 25, 2006: Camera-ready copy according to IEEE conference style 2-column

Sep. 2, 2006: SECURECOMM in Baltimore, MD, USA

End of 2006: Preparation of the Journal special issue

Workshop Co-chairs:

Brajendra Panda, University of Arkansas, USA.

Richard Anthony, University of Greenwich, UK.

Stephen Marsh, National Research Council of Canada.

Jean-Marc Seigneur, University of Geneva, Switzerland.

Program Committee:

Brajendra Panda, University of Arkansas, USA.

Richard Anthony, University of Greenwich, UK.

Stephen Marsh, National Research Council of Canada.

Jean-Marc Seigneur, University of Geneva, Switzerland.

Giannis F. Marias, University of Athens, Greece.

Laurence T. Yang, St. Francis Xavier University, Canada.

Stefan Weber, Trinity College Dublin, Ireland.

Zoran Despotovic, DoCoMo Communications Laboratories Europe.

Katri Sarkio, Helsinki Institute for Information Technology, Finland.

Christian Damsgaard Jensen, Technical University of Denmark.

Jianhua Ma, Hosei University, Japan.

Filippo Ulivieri, Institute of Cognitive Sciences and Technologies, Italy.

Karl Quinn, Trinity College Dublin, Ireland.

Michael R. Lyu, The Chinese University of Hong Kong, China.

Michael Kinateder, SAP, Germany.

Sini Ruohomaa, University of Helsinki, Finland.

Joerg Abendroth, Siemens, Germany.

Daniele Quercia, University College London, UK.

Lea Kutvonen, University of Helsinki, Finland.

Tom De Wolf, KULeuven, Belgium.

Adam Slagell, NCSA, University of Illinois at Urbana-Champaign, USA.

Noria Foukia, University of Otago, New Zealand.

Licia Capra, University College London, UK.

Victor S. Grishchenko, Ural State University, Russia.

Konrad Wrona, SAP Research, France.

Ayman Kayssi, University of Beirut, Lebanon.

Lik Mui, Google Inc., USA.

Philip Robinson, University of Karlsruhe, Germany.

Magdy Saeb, Arab Academy for Science, Egypt.

Jennifer Golbeck, University of Maryland, USA.

Lalana Kagal, Massachusetts Institute of Technology, USA.

Marianne Winslett, University of Illinois at Urbana-Champaign, USA.

Paolo Massa, University of Trento, Italy.

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