Call for Papers
[email protected]: The 4th Workshop on Machine Learning for CyberSecurity 2022
Co-located with the 21st Internation Conference on European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD)
19 -- 23 September 2022
Cybersecurity is the practice of securing networks, systems and any other digital infrastructure from malicious attacks. Traditional cybersecurity relies on the static control of security cyberspace monitoring according to the pre-specified rules. However, this passive defence methodology is no longer useful in protecting cyberspace against new cybersecurity threats.
Nowadays, the capability to detect, analyse and defend against threats in (near) real-time conditions is not possible without employing sophisticated machine learning techniques and big data infrastructures. This gives rise to cyberthreat intelligence and analytic solutions to perceive, reason, learn and act against cyber adversary techniques and actions. On the other hand, it is important to consider that machine learning can be used also by attackers to continually improve their techniques and refine their offensive capabilities.
The aim of this workshop is to provide researchers with a forum to exchange and discuss scientific contributions and open challenges, both theoretical and practical, related to the use of machine learning in cybersecurity. We want to foster joint work and knowledge exchange between the cybersecurity community, and researchers and practitioners from the machine learning field and its crossing with big data, data science and visualization. The workshop shall provide a forum for discussing how machine learning today impacts cybersecurity, for better and for worse.
The workshop follows the success of the three previous editions (MLCS 2019, MLCS 2020 and MLCS 2021) co-located with ECML-PKDD 2019, ECML-PKDD 2020 and ECML-PKDD 2021 - in all the previous editions the workshop gained strong interest, with attendance between 30 and 40 participants.
CALL FOR PAPERS
MLCS 2022 welcomes both research papers reporting results from mature work, recently published work, as well as more speculative papers describing new ideas or preliminary exploratory work. Papers reporting industry experiences and case studies will also be encouraged.
All topics related to the contribution of machine learning approaches to the security of organisations’ systems and data are welcome. These include, but are not limited to:
- Machine learning for:
--- the security and dependability of networks, systems, and software
--- open-source threat intelligence and cybersecurity situational awareness
--- data security and privacy
--- cybersecurity forensic analysis
--- the development of smarter security control
--- the fight against (cyber)crime, e.g., biometrics, audio/image/video analytics
- Vulnerability analysis:
--- the analysis of distributed ledgers
--- malware, anomaly, spam and intrusion detection
- Adversarial machine learning and the robustness of AI models against malicious actions
- Interpretability and Explainability of machine learning models in cybersecurity
- Privacy preserving machine learning
- Trusted machine learning
- Data-centric security
- Scalable / big data approaches for cybersecurity
- Deep learning for automated recognition of novel threats
- Graph representation learning in cybersecurity
- Continuous and one-shot learning
- Informed machine learning for cybersecurity
- User and entity behaviour modelling and analysis
MLCS 2022 welcomes both research papers reporting results from mature work, and recently published work, as well as more speculative papers describing new ideas or preliminary exploratory work. Papers reporting industry experiences and case studies will also be encouraged.
Submissions are accepted in two formats:
- Original, unpublished contributions with 12-16 pages including references.
- Already published or preliminary work of at most 6 pages.
Acceptance will be based on relevance, technical soundness, originality, and clarity of presentation
At least one author of each accepted paper should register for the conference (registration instructions at https://2022.ecmlpkdd.org/index.php/registration/).
All submissions should be made in PDF using the EasyChair platform: at the link https://easychair.org/conferences/?conf=mlcs2022ecmlpkdd and must adhere to the Springer LNCS style.
Based on the quality and number of accepted papers and the regular workshop papers (except papers reporting recently published work or preliminary work) will be “tentatively” published in the workshop post-proceedings.
Paper Submission Deadline: June, 20 2022
Paper author notification: July, 13 2022
Camera Ready Submission: July, 29 2022
Workshop: September, 19 2022
Kind regards, the organizers:
Giuseppina Andresini, University of Bari Aldo Moro
Annalisa Appice, University of Bari Aldo Moro
Ibéria Medeiros, University of Lisbon
Pedro Ferreira, University of Lisbon
MLCS 2022 : 4th Workshop on Machine Learning for CyberSecurity 2022 will take place in Grenoble, France. It’s a 1 day event starting on Sep 19, 2022 (Monday) and will be winded up on Sep 19, 2022 (Monday).
MLCS 2022 falls under the following areas: etc. Submissions for this Workshop can be made by Jun 20, 2022. Authors can expect the result of submission by Jul 13, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 29, 2022 to the official website of the Workshop.
Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.
Other Details of the MLCS 2022
Credits and Sources
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