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Open AccessEditorial

Symmetry-Adapted Machine Learning for Information Security

Department of Computer Science and Engineering, Seoul National University of Science and Technology (SeoulTech), 232 Gongneung-ro, Nowon-gu, Seoul 01811, Korea
Symmetry 2020, 12(6), 1044; https://doi.org/10.3390/sym12061044
Received: 15 June 2020 / Accepted: 16 June 2020 / Published: 22 June 2020
(This article belongs to the Special Issue Symmetry-Adapted Machine Learning for Information Security)
Nowadays, data security is becoming an emerging and challenging issue due to the growth in web-connected devices and significant data generation from information and communication technology (ICT) platforms. Many existing types of research from industries and academic fields have presented their methodologies for supporting defense against security threats. However, these existing approaches have failed to deal with security challenges in next-generation ICT systems due to the changing behaviors of security threats and zero-day attacks, including advanced persistent threat (APT), ransomware, and supply chain attacks. The symmetry-adapted machine-learning approach can support an effective way to deal with the dynamic nature of security attacks by the extraction and analysis of data to identify hidden patterns of data. It offers the identification of unknown and new attack patterns by extracting hidden data patterns in next-generation ICT systems. Therefore, we accepted twelve articles for this Special Issue that explore the deployment of symmetry-adapted machine learning for information security in various application areas. These areas include malware classification, intrusion detection systems, image watermarking, color image watermarking, battlefield target aggregation behavior recognition models, Internet Protocol (IP) cameras, Internet of Things (IoT) security, service function chains, indoor positioning systems, and cryptoanalysis. View Full-Text
Keywords: symmetry; intrusion detection system; machine learning; image watermarking; information security; IoT security; indoor positioning system symmetry; intrusion detection system; machine learning; image watermarking; information security; IoT security; indoor positioning system
MDPI and ACS Style

Park, J.H. Symmetry-Adapted Machine Learning for Information Security. Symmetry 2020, 12, 1044.

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