MPLS Policy Target Recognition Network

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• 关键词：Multi ; Protocol Label Switching ; Real ; Time Networks ; Bayesian Belief Network ; Reconnaissance ; Bayesian networks
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9572
• 期：1
• 页码：71-87
• 全文大小：380 KB
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• 作者单位：Abdulrahman Al-Mutairi (16)
  Stephen Wolthusen (15) (16)
  
  16. Information Security Group, Department of Mathematics, Royal Holloway, University of London, Surrey, UK
  15. Norwegian Information Security Laboratory, Department of Computer Science, Gjøvik University College, Gjøvik, Norway
  
• 丛书名：Risks and Security of Internet and Systems
• ISBN：978-3-319-31811-0
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Policy-based protocols such as Multi-Protocol Label Switching (MPLS) and Border Gateway Protocol (BGP) are deployed by service providers to increase the efficiency of their networks; particularly the MPLS protocol where traffic engineering is required for the guarantee of Quality of Service (QoS) that is crucial for real-time dependant systems such as financial services, government and public safety, critical infrastructures and smart grids. Network operators are cautious about revealing information of their network; mainly for security reasons. Whereas, sophisticated adversaries are known for launching reconnaissance attacks years in advance of more malicious attacks. Whilst, research in this area was limited to the BGP, this paper aims to analyse the ability to reveal MPLS policy states with limited knowledge using Bayesian Belief Network (BBN).