ML-NLP4Cybersecurity: International Workshop on Machine Learning and Natural Language Processing for Cybersecurity Virtual Dubi, UAE, June 4-5, 2021 |
Conference website | https://acling2021.org/ |
Submission link | https://easychair.org/conferences/?conf=mlnlp4cybersecurity |
International Workshop on
Machine Learning and Natural Language Processing for Cybersecurity
as part of the program of the
ACLing 2021: 5th International Conference on AI in Computational Linguistics
June 4th-5th, 2021
In recent years, machine learning (ML) and natural language processing (NLP) have made many advances, both in science and applications. They have widely been applied to many application areas, including e-commerce and other Internet-based businesses and applications. Examples include chatbots, speech recognition, personal assistants, recommender systems and business analytics.
Cybersecurity is another area which could benefit from these technological advances. Based on recent studies, it is estimated that the cost of cybercrime could cost up to 0.8 percent of the global GDP. It is, therefore, paramount, to improve and advance cybersecurity provisions, and machine-independent cybersecurity tools, for which ML and NLP could play a crucial role by automatically analysing and classifying data in complex scenarios, have started to attract the interests of both research and commercial communities.
This workshop, on machine learning and natural language processing for cybersecurity, aims to bring together researchers from academia and industry, especially early career researchers and PhD students to introduce and discuss the latest approaches and research trends addressing cybersecurity challenges using NLP and ML approaches.
This workshop seeks original contributions that have not been published elsewhere and are not currently under review by any other journal or conference. The potential topics of interest include, but are not limited to, the following:
- NLP/Machine and deep learning for source code vulnerability analysis,
- NLP/Machine and deep learning for phishing detection,
- NLP/Machine and deep learning for malware analysis,
- NLP/Machine and deep learning for security incident and event management,
- NLP/Machine and deep learning for automation of security activities.
- NLP/Machine and deep learning for intrusion detection,
- NLP/Machine and deep learning for Malware categorization,
- NLP/Machine and deep learning for secure NLP applications,
- Privacy-Preserving Natural Language Processing.
Important Dates
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Publications All the accepted papers will be published in the Procedia Computer Science by ELSEVIER, open access with a DOI assigned. Procedia Computer Science (ISSN: 1877-0509) of this series is indexed in the Web of Science: Conference Proceedings Citation Index (CPCI), Scopus (SJR: 0.34 and H-index: 59), and INSPC. |
Program Chairs Tarek Gaber, University of Salford, United Kingdom. Sunil Vadera, University of Salford, United Kingdom. Ning Zhang, University of Manchester, United Kingdom.
Publicity Chairs
Ibrahima Faye, Universiti Teknologi PETRONAS, Malysia Sultan Alkhliwi, Northern Border University- Saudi Arabia.
Social Media Chair Mohamed Meselhy Eltoukhy, Suez Canal University, Egypt. Local Organizer Chair Said Salloum, University of Sharjah, United Arab Emirates sponsor This workshop is supported by the European Regional Development Fund (ERDF) under the GM Cyber Foundry project (15R18P02426): https://gmcyberfoundry.ac.uk/ |
Technical Program Committee Ivan Zelinka, VŠB-Technical University of Ostrava, Czech Sana Belguith, University of Salford, UK Tooska Dargehi, University of Salford, UK Rania Hodhod, Columbus State University, USA Samir Belhaouari, Hamad Bin Khalifa University, Qatar Mohammed Alser, ETH Zurich, Switzerland Mohamed Tahoun, Suez Canal University, Egypt Alaa Tharwat, Bielefeld University of Applied Sciences, Germany Ahmed Fouad, Suez Canal University, Egypt Mohamed Torky, Culture & Science City, Egypt Mohamed W.Abo El-Soud, Suez Canal University, Egypt Abdelalim Farag, T-mobile US, USA. Jamal Gardezi, NUST, Pakistan Esraa Eldesouky, Suez Canal University, Egypt Contact: Tarek Gaber: T.m.a.gaber@salford.ac.uk |