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: 691 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, held in Guangzhou, China, from December 2 to 4, 2022, brought together experts from around the world to discuss the latest advancements in machine learning for cyber security. The conference featured a vibrant program with 100 full papers and 46 short papers, covering a wide range of topics such as intrusion detection, malware analysis, and network security.

The proceedings, published by Springer Nature, represent the cutting-edge research and development in the field of machine learning for cyber security. The papers were carefully reviewed by a panel of esteemed experts, ensuring that only the most innovative and relevant contributions were included.

The conference also featured several keynote speeches, panel discussions, and workshops, providing opportunities for researchers and practitioners to exchange ideas and collaborate on developing solutions to the challenges facing cyber security.

One of the key highlights of the conference was the presentation of the ML4CS Best Paper Award, which recognized the most outstanding paper presented at the conference. The award was presented to a team of researchers from the University of California, San Diego, for their paper titled "Attack-Guided Reinforcement Learning for Network Intrusion Detection."

Overall, the ML4CS 2022 conference was a resounding success, showcasing the growing importance of machine learning in cyber security and providing a platform for researchers and practitioners to advance the field. The proceedings will serve as a valuable resource for future research and development in the area.

Introduction

The 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, was held in Guangzhou, China, from December 2 to 4, 2022. The conference brought together experts from various fields, including computer science, mathematics, and engineering, to discuss the latest advancements in machine learning for cyber security.

Conference Highlights

The conference featured a vibrant program with 100 full papers and 46 short papers, covering a wide range of topics such as intrusion detection, malware analysis, and network security. The papers were carefully reviewed by a panel of esteemed experts, ensuring that only the most innovative and relevant contributions were included.

In addition to the technical program, the conference also featured several keynote speeches, panel discussions, and workshops, providing opportunities for researchers and practitioners to exchange ideas and collaborate on developing solutions to the challenges facing cyber security.

One of the key highlights of the conference was the presentation of the ML4CS Best Paper Award, which recognized the most outstanding paper presented at the conference. The award was presented to a team of researchers from the University of California, San Diego, for their paper titled "Attack-Guided Reinforcement Learning for Network Intrusion Detection."

Overall, the ML4CS 2022 conference was a resounding success, showcasing the growing importance of machine learning in cyber security and providing a platform for researchers and practitioners to advance the field. The proceedings will serve as a valuable resource for future research and development in the area.

Conclusion

In conclusion, the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, was a highly successful event that brought together experts from around the world to discuss the latest advancements in machine learning for cyber security. The conference featured a vibrant program with 100 full papers and 46 short papers, covering a wide range of topics such as intrusion detection, malware analysis, and network security. The ML4CS Best Paper Award was presented to a team of researchers from the University of California, San Diego, for their paper titled "Attack-Guided Reinforcement Learning for Network Intrusion Detection." The conference also featured several keynote speeches, panel discussions, and workshops, providing opportunities for researchers and practitioners to exchange ideas and collaborate on developing solutions to the challenges facing cyber security. The proceedings will serve as a valuable resource for future research and development in the area.

Weight: 1074g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031201011
Edition number: 1st ed. 2023