Inventory management in network infrastructures currently relies on static methods, leading to data consistency issues due to the difficulty of keeping static reports and lists up to date with the dynamic nature of real-world networks. An alternative approach is the use of automatically generated network topology diagrams, which provide a visual representation of the network's structure and organization, depicting the configuration and interconnections of nodes and links. These diagrams serve purposes such as network planning, management, and security management. However, the creation of automatic network topology diagrams remains a challenge. This paper addresses this challenge by proposing a Reinforcement Learning-based approach that utilizes network traffic data to automatically generate network topology diagrams. The preliminary results demonstrate promising outcomes, enabling the automatic generation of efficient network topology diagrams for various purposes, even in the case of large-scale networks. These automatically created diagrams can further facilitate security analysis, planning, and optimization activities. By focusing on enhancing security outcomes and enabling robust network analysis, this research contributes to advancing the field of network management, particularly in the domain of automatic network visualization and comprehensive security analysis.

Ferda Özdemir Sönmez

Chris Hankin

Pasquale Malacaria

Information Security Journal A Global Perspective

Information Security Journal: A Global Perspective aims to inform security professionals about new technologies, useful tools, and relevant research in policy and technology. We also seek to provide insight into current and existing professional development issues.    We welcome submissions that cover the following topics:        Security Access Control Systems and Security Methodology      Security Telecommunications and Network Security      Business Continuity Planning and Disaster Recovery Planning      Security Management Practices      Security Architecture and Models      Law, Investigation, and Ethics in Information Security      Application and Systems Development Security      Cryptography security      Computer Operations Security      Physical Security       We are especially keen to receive manuscripts that explore Cloud Security, Health Care Information Security and Privacy and Cyber Forensics

The Information Security Journal: A Global Perspective aims to inform security professionals about new technologies, useful tools, and relevant research in policy and technology. We also seek to provide insights into current and existing professional development issues. We welcome submissions covering the following topics: Security Access Control Systems and Security Methodology, Security Telecommunications and Network Security, Business Continuity Planning and Disaster Recovery Planning, Security Management Practices, Security Architecture and Models, Law, Investigation, and Ethics in Information Security, Application and Systems Development Security, Cryptography Security, Computer Operations Security, and Physical Security. We are particularly keen to receive manuscripts that explore Cloud Security, Health Care Information Security and Privacy, and Cyber Forensics.

《Information Security Journal》旨在为安全专业人士提供有关新技术、有用工具和相关政策与技术研究的信息。我们还希望深入探讨当前和现有的职业发展问题。我们欢迎涵盖以下主题的投稿：安全访问控制系统与安全方法论、安全电信与网络安全、业务连续性规划与灾难恢复规划、安全管理实践、安全架构与模型、信息安全中的法律、调查与伦理、应用与系统开发安全、密码学安全、计算机操作安全和物理安全。我们特别希望收到探讨云安全、医疗信息安全与隐私以及网络取证的稿件。

Smart topology detection using multi-armed bandit reinforcement learning method

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Journal Info

Category	Quartile
COMPUTER SCIENCE, INFORMATION SYSTEMS	3