Subject: [nmrg] [IEEE Euro S&P WTMC 2022] [Deadline: March 20, 2022] CFP: 7th International Workshop on Traffic Measurements for Cybersecurity (WTMC) @IEEE Euro S&P 2022

From: Casas Pedro <[email-masked]>
Date: Wed, 23 Feb 2022 10:07:27 +0000

IEEE Euro S&P 2022 7th International Workshop on Traffic Measurements for Cybersecurity (WTMC 2022)

Genoa, Italy

Monday, June 6, 2022

https://wtmc.info/

After six highly successful editions of the WTMC workshop, co-located with IEEE S&P, ACM SIGCOMM, IEEE Euro S&P and ACM ASIACCS, we are happy to announce the 7th edition of WTMC at IEEE Euro S&P 2022.

The goal of the WTMC workshop is to present some of the most relevant ongoing research in cybersecurity as seen from the network traffic measurement perspective.

Accepted papers will be published through IEEE Xplore in a volume accompanying the main IEEE Euro S&P conference proceedings.

***Important Dates***

+ March 20, 2022 (AoE, UTC -12): Paper Submission

+ April 14, 2022: Notification Date

+ April 22, 2022: Camera-Ready Paper Deadline

***Call for Papers***

Current communication networks are increasingly becoming pervasive, complex, and ever-evolving due to factors like enormous growth in the number of network users, continuous appearance of network applications, increasing amount of data transferred, and diversity of user behaviors. Understanding and measuring traffic in such networks is a difficult yet vital task for network management but recently also for cybersecurity purposes. Network traffic measuring and monitoring can, for example, enable the analysis of the spreading of malicious software and its capabilities or can help to understand the nature of various network threats including those that exploit users' behavior and other user's sensitive information. On the other hand network traffic investigation can also help to assess the effectiveness of the existing countermeasures or contribute to building new, better ones. Recently, traffic measurements have been utilized in the area of economics of cybersecurity e.g. to assess ISP "badness" or to estimate the revenue of cyber criminals.

The aim of this workshop is to bring together the research accomplishments provided by researchers from academia and industry. The other goal is to show the latest research results in the field of cybersecurity and understand how traffic measurements can influence it. We encourage prospective authors to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews. This workshop presents some of the most relevant ongoing research in cybersecurity seen from the traffic measurements perspective.

Topics of interest include, but are not limited to:

+ Measurements for network incidents response, investigation and evidence handling

+ Measurements of cyber attacks (e.g. DDoS, botnet, malware and phishing campaigns)

+ Measurements for security of web-based applications and services (e.g. social networking)

+ Measurements for network anomalies detection

+ Measurements for economics of cybersecurity and privacy

+ Measurements of security and privacy for the Internet of Things

+ Measurements of Internet censorship

+ Measurement studies describing impacts of regulations on cybersecurity and users' privacy (e.g. GDPR)

+ Network traffic analysis to discover the nature and evolution of the cybersecurity threats

+ Measurements of cyber physical systems security

+ Measurements for assessing the effectiveness of the threats detection/prevention methods and countermeasures

+ Novel passive, active and hybrid measurements techniques for cybersecurity purposes

+ Traffic classification and topology discovery tools for monitoring the evolving status of the network from the cybersecurity perspective

+ Correlation of measurements across multiple layers, protocols or networks for cybersecurity purposes

+ Machine learning and data mining for analysis of network traffic measurements for cybersecurity

+ Novel approaches for large-scale measurements for cybersecurity (e.g. crowd-sourcing)

+ Novel visualization approaches to detect network attacks and other threats

+ Analysis of network traffic to provide new insights about network structure and behavior from the security perspective

+ Measurements of network protocol and applications behavior and its impact on cybersecurity and users' privacy

+ Vulnerability measurements and notifications

+ Measurements for new cybersecurity settings

+ Ethical issues in measurements for cybersecurity

+ Reappraisal of previous empirical findings

***Submission Instructions***

Authors are invited to submit papers under three different formats, via EasyChair (https://easychair.org/conferences/?conf=wtmc2022)

+ short papers (up to 4 pages +2 for appendices/references)

+ regular papers (up to 6 pages +2 for appendices/references)

+ long papers (up to 10 pages +4 for appendices/references)

Reviewers are explicitly not expected to read the appendices while deciding whether to accept or reject the paper.

Papers describing cybersecurity measurement studies should include an ethical considerations paragraph, and where applicable reach out to their institutional ethics committee or institutional review board. For guidance see the Menlo Report and its companion document. Authors are encouraged to share developed software implementations, measurement datasets, simulation models, etc. used in articles allowing other researchers to build upon and extend current results. Authors may include a paragraph about reproducible research.

Papers accepted by the workshop will be published through IEEE Xplore in a volume accompanying the main IEEE EuroS&P conference proceedings. The extended versions of all accepted papers will be considered for publication in a special issue of the Journal of Cyber Security and Mobility. The decision will depend on the quality of the paper and quality of the presentation at WTMC 2022. The final decision will be made by co-chairs after the workshop.

***Workshop Co-Chairs***

+ Maciej Korczyński - Grenoble Institute of Technology, France

+ Wojciech Mazurczyk - Warsaw University of Technology, Poland

+ Pedro Casas - AIT Austrian Institute of Technology, Austria

Best,

Pedro 😊

PEDRO CASAS
Senior Scientist
Data Science & Artificial Intelligence
Center for Digital Safety & Security

AIT Austrian Institute of Technology GmbH
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