ANALYSIS OF METHODS FOR CALCULATING THE OSPF DYNAMIC ROUTING PROTOCOL METRIC CONSIDERING INFORMATION SECURITY RISK

Abstract

This paper addresses the problem of improving the metrics of the OSPF dynamic routing protocol by incorporating information security risk. The standard OSPF metric is based solely on channel bandwidth and does not account for potential threats, which may compromise the confidentiality, integrity, or availability of data in telecommunication networks. Based on the analysis of recent research focused on secure routing, such as the use of trust mechanisms, cryptographic techniques, and machine learning algorithms, the feasibility of enhancing traditional approaches with risk indicators is substantiated. The study proposes three modified metric variants that integrate node and link risk levels into the routing decision process. To evaluate their effectiveness, a simulation was performed on a network topology with four routers, analyzing how optimal paths change under varying risk conditions. The results demonstrate that one of the proposed methods ensures the best balance between bandwidth efficiency and security, while others are either overly sensitive to risk or require careful parameter adjustment to be practical. The findings confirm the importance of including information security risk in the routing process, which significantly strengthens network resilience against cyberattacks and improves overall infrastructure reliability. Future work will focus on expanding the experimental base with diverse topologies and traffic parameters, as well as developing methods for optimal parameter tuning to balance the influence of risk in OSPF metrics.