On neighbor vulnerability measures for network security
2019
0 views
0 downloads
Advisor: Doç. Dr. Ersin Aslan
Abstract (EN)
Network security is an important issue in the computing. Vulnerability is called the resistance of the devices or connections in a network until their communication is over in case of damage. To be able to measure the vulnerability, the network must be modeled with graphs so that the devices are expressed with vertices and connections with edges. In this thesis, the neighbor isolated tenacity and neighbor isolated rupture degree from neighbor vulnerability measurement parameters, which are commonly used in spy networks, are discussed. These vulnerability measurement parameters were examined for unwieghted graphs that each vertex is considered equal, and for weighted graphs that weight value is given according to the importance of each vertex. In addition, we gave polynomial time algorithms for interval graphs, an important subclass of perfect graphs of these four vulnerability parameters. Keywords: Graph Theory, Vulnerability, Graph Algorithms, Interval Graphs, Neighbor Isolated Tenacity, Neighbor Isolated Rupture Degree
Author
Mehmet Aykut Tosun
Institution
How to Cite
Mehmet Aykut Tosun (Master Thesis). On neighbor vulnerability measures for network security, 2019, Manisa Celal Bayar University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Manisa Celal Bayar University
- Investigation of the relationship of internet addiction level of high school students with parents' attitudes: The case of Manisa(2019)
- Analysing the social integration process of yezidi refugee youngs in the context of multiculturalist social work(2016)
- The security matter of Turkey?s Islands? sea (Eagean sea)(2007)
- Middle income trap problem in terms of sustainable growth resources in Turkiye(2023)
- Examining the leadership styles of fitness center managers according to their organizational response to the crisis: The Covid-19 outbreak case(2023)
- Evaluation of logistics-environmental interactive performances of EU countries and Turkey through environmental efficiency DEA methods in the scope of green logistics(2023)
