Title :
A novel model for assessing network risks
Author_Institution :
Electron. & Electr. Eng. Inst., Shanghai Univ. of Eng. Sci., Shanghai, China
Abstract :
In order to assess the secure states of network systems hidden Markov stochastic process is used as the decision and analysis tool. Alarm events from intrusion detection systems are used as the processed objects. A novel hidden Markov Model is proposed and it is used to describe the state transform procedure of attacked hosts. The calculation method of the risk exponent for hosts is given. The risk exponent of each host is added together to give the quantitative evaluation of the risk for entire network systems. The experiments have justified that the proposed method is effective.
Keywords :
Markov processes; risk management; security of data; attacked hosts; hidden Markov stochastic process; intrusion detection systems; network risk assessment; risk exponent; state transform procedure; Educational institutions; Hidden Markov models; Intrusion detection; Markov processes; Transforms; Vectors; hidden Markov model; network; network attacks; risk evaluation;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6233737
