Title :
A Prediction Method of Network Security Situation
Author :
Wan Ziqian ; Li Tao ; Liang Gang
Author_Institution :
Sch. of Comput. Sci., Sichuan Univ., Chengdu, China
Abstract :
A prediction method of network security situation based on gen expression programming (PCN_GEP) has been proposed. The main contribution include: (1) Propose cycle-weighted sliding window prediction method to deal with the cycle-changing network risk situation. (2) Fibonacci-weight is added to the preprocess of training dataset to ensure that the latest data have the most impaction to the future. Immunity model which can dynamically reflect the network real-time state has been introduced into computer network risk evaluation to get the initial training data in our experimentation, the experimentation results proved that this method has high precision in the forecasting of computer network security situation.
Keywords :
genetic algorithms; risk analysis; security of data; Fibonacci-weight preprocesses; artificial immunity system; computer network risk evaluation; computer network security situation forecasting; cycle-weighted sliding window prediction method; dataset training preprocessing; genes expression programming; immunity model; network risk situation; Biological cells; Computer networks; Computer science; Computer security; Data security; Information security; Prediction methods; Predictive models; Random number generation; Training data;
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
DOI :
10.1109/ICMSS.2009.5301216
