On Identifying the Critical Nodes and Vulnerable Edges For Increasing Network Security
Mohamed Alshaer, Paul Cotae · 2024
The recent increase in internet-related crimes and sophistication of hacker techniques has shown the importance of introducing new topics and researches on Cybersecurity which will help professionals reduce the probability of attacks.In this paper, we focus on the computer network security by finding the vulnerable components of the networks which are very critical for protecting infrastructure and network system performances.In a typical attack case, an attacker would first exploit the weak elements on a network, and then he/she only needs to target some critical edges or nodes.As a case of study, we choose which nodes or edges would be attacked on a social network by using four centrality measures such as degree, closeness, eigenvector, and betweenness centrality.We attempt to characterize and provide insights into the topology of the networks and collaborations within engineering education research.We balance all the above concepts by using similar ideas as in Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) which is a Multi-Criteria Decision Making (MCDM) technique focusing on node importance and asset criticality.This technique will help us to demonstrate and distinguish critical nodes which will help network and security professionals make the right decision.