The 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, held in Guangzhou, China, had 100 full papers and 46 short papers accepted for publication in the three-volume LNCS 13655, 13656, and 13657 proceedings.

Format: Paperback / softback
Length: 669 pages
Publication date: 13 January 2023
Publisher: Springer International Publishing AG

The three-volume proceedings set LNCS 13655, 13656, and 13657 constitutes the refereed proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which took place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.

The ML4CS 2022 conference aimed to bring together researchers, practitioners, and industry experts from around the world to explore innovative machine learning techniques and applications in the field of cyber security. The conference featured a wide range of topics, including intrusion detection, malware analysis, network security, and user behavior analysis.

The conference proceedings include a total of 100 full papers, which were submitted by researchers from various institutions and countries. These papers cover a wide range of topics, including machine learning algorithms, data mining techniques, and application domains such as cyber security, finance, healthcare, and transportation.

In addition to the full papers, the conference proceedings also include 46 short papers, which were submitted by early-career researchers and students. These short papers provide an opportunity for young researchers to showcase their work and receive feedback from the community.

The conference proceedings were carefully reviewed by a panel of expert reviewers, who selected the best papers based on their originality, significance, and quality. The review process was rigorous, and only a small percentage of papers were accepted for publication.

The ML4CS 2022 conference proceedings are a valuable resource for researchers, practitioners, and industry experts in the field of cyber security. They provide a comprehensive overview of the latest research and developments in the area, and serve as a platform for exchanging ideas and knowledge.

The conference also featured several keynote speeches and panel discussions, which were delivered by prominent researchers and industry experts. These speeches provided insights into the current state of the field and the challenges and opportunities that lie ahead.

Overall, the ML4CS 2022 conference was a successful event that brought together a diverse group of experts from around the world to explore the latest trends and technologies in machine learning for cyber security. The conference proceedings will serve as a valuable reference for future research and development in this area.

Introduction

The 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, was held in Guangzhou, China, during December 2-4, 2022. The conference aimed to bring together researchers, practitioners, and industry experts from around the world to explore innovative machine learning techniques and applications in the field of cyber security.

Conference Proceedings

The conference proceedings consist of three volumes, LNCS 13655, 13656, and 13657. The proceedings include 100 full papers and 46 short papers, which were carefully reviewed and selected from 367 submissions.

The full papers cover a wide range of topics, including machine learning algorithms, data mining techniques, and application domains such as cyber security, finance, healthcare, and transportation. The papers were submitted by researchers from various institutions and countries, and the review process was rigorous to ensure the quality of the contributions.

The short papers provide an opportunity for early-career researchers and students to showcase their work and receive feedback from the community. The papers were submitted by researchers from various institutions and countries, and the review process was rigorous to ensure the quality of the contributions.

The conference proceedings were carefully reviewed by a panel of expert reviewers, who selected the best papers based on their originality, significance, and quality. The review process was rigorous, and only a small percentage of papers were accepted for publication.

Keynote Speeches and Panel Discussions

In addition to the technical sessions, the conference featured several keynote speeches and panel discussions. The keynote speeches were delivered by prominent researchers and industry experts in the field of cyber security. The speakers provided insights into the current state of the field and the challenges and opportunities that lie ahead.

The panel discussions were designed to foster discussion and exchange of ideas among the participants. The topics covered included the role of machine learning in cyber security, the challenges of deploying machine learning algorithms in real-world environments, and the future of machine learning in cyber security.

Conclusion

The ML4CS 2022 conference was a successful event that brought together a diverse group of experts from around the world to explore innovative machine learning techniques and applications in the field of cyber security. The conference proceedings will serve as a valuable reference for future research and development in this area.

The conference also provided a platform for researchers, practitioners, and industry experts to network and collaborate, which will help to advance the field of cyber security and protect against emerging threats.

Weight: 1056g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031200953
Edition number: 1st ed. 2023