Computers & Security
Elsevier (ISSN: 0167-4048)
Editor-in-Chief: Eugene H. Spafford
(https://www.journals.elsevier.com/computers-and-security)
************************************************************************************
Call For Papers for the Special Issue Anomaly Detection in Cyber-Physical
Systems on Elsevier Computer & Security Journal
*** Important Dates ***
Submission deadline: August 15, 2022
Peer reviews sent to authors: December 31, 2022
First revision of manuscripts due: February 30, 2022
Second round of reviews sent to authors: April 31, 2022
Second revision of manuscripts due: June 15, 2023
Final notifications sent to authors: July 15, 2023
Final accepted manuscripts due: July 31, 2023
**Scope**
The objective of this special issue is to investigate, analyze and address
challenging issues and emerging trends in Anomaly Detection for
Cyber-Physical Systems. To this aim, we solicit contributions on advanced
modeling and mining of Anomaly Detection for Cyber-Physical System,
including both theoretical and application-oriented studies promoting and
building explainable AI models. In particular, we encourage contributions
on the development of novel approaches based on advanced optimization
techniques and learning paradigms (e.g., online learning, reinforcement
learning, and deep learning) to enhance our understanding of complex
phenomena in Cyber-Physical System.
**Topics of Interest**
The topics of interest for this special issue include but are not limited
to:
(i) Supervised, Semi-supervised and unsupervised techniques for anomaly
detection in CPS;
(ii) Representation learning, Transfer learning, Sequence learning and
Reinforcement learning based methods for anomaly detection in CPS;
(iii) Explainable Artificial Intelligence techniques for anomaly detection
in CPS;
(iv) Game theory and Adversarial learning approach for anomaly detection in
CPS;
(v) Federated learning for anomaly detection in CPS;
(vi) Multi-dataset time series for anomaly detection in CPS;
(vii) Multi-dataset Time Series Anomaly Detection.
**Submission Guidelines**
Manuscripts must not have been previously published nor currently under
review by other journals or conferences. If prior work was published in a
conference, the submitted manuscript should include a substantial extension
of at least 35% novel contributions. In this case, authors are also
required to submit their published conference articles and a summary
document explaining the enhancements made in the journal version.
The submission website for this journal is located at
https://www.editorialmanager.com/cose/default.aspx. Please select
"VSI:Anomaly Detection in CPS" when you reach the "Article Type" step in
the submission process. To ensure that all manuscripts are correctly
identified, for consideration by the special issue, the authors should
indicate in the cover letter that the manuscript has been submitted for the
special issue on "Anomaly Detection in Cyber-Physical Systems".
**Guest Editors**
For further information, please contact the guest editors at
giancarlo.sperli@unina.it (Giancarlo Sperlì), vincenzo.moscato@unina.it
(Vincenzo Moscato), malbanese@gmu.edu (Massimiliano Albanese).
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
