Intrusion Prediction Systems

作者: Mohamed Abdlhamed , Kashif Kifayat , Qi Shi , William Hurst

DOI: 10.1007/978-3-319-44257-0_7

关键词: IntrusionPrediction systemComputer securityAnomaly detectionMisuse detectionIntrusion detection systemBlock (data storage)Computer science

摘要: In recent years, cyberattacks have increased rapidly in huge volumes and diversity. Despite the existence of advanced cyber-defence systems, attacks intrusions still occur. Defence systems tried to block previously known attacks, stop ongoing detect occurred attacks. However, often damage caused by an attack is catastrophic. Consequently, need for improved intrusion detection proposed robust prediction system more urgent these days. this chapter, we investigate show such system, insufficiency current how will improve security capabilities defence systems. A survey cybersecurity, concepts work methods used presented.

参考文章(57)
Mohammad Khansari, Maryam AmirHaeri, Hamid Farhadi, Alert Correlation and Prediction Using Data Mining and HMM The ISC International Journal of Information Security. ,vol. 3, pp. 77- 101 ,(2011) , 10.22042/ISECURE.2015.3.2.3
Chirag Modi, Dhiren Patel, Bhavesh Borisaniya, Hiren Patel, Avi Patel, Muttukrishnan Rajarajan, A survey of intrusion detection techniques in Cloud Journal of Network and Computer Applications. ,vol. 36, pp. 42- 57 ,(2013) , 10.1016/J.JNCA.2012.05.003
C. Ishida, Y. Arakawa, I. Sasase, K. Takemori, Forecast techniques for predicting increase or decrease of attacks using Bayesian inference pacific rim conference on communications, computers and signal processing. pp. 450- 453 ,(2005) , 10.1109/PACRIM.2005.1517323
Guiling Zhang, Jizhou Sun, A Novel Network Intrusion Attempts Prediction Model Based on Fuzzy Neural Network Computational Science – ICCS 2006. pp. 419- 426 ,(2006) , 10.1007/11758501_58
S.P. Alampalayam, A. Kumar, Predictive security model using data mining global communications conference. ,vol. 4, pp. 2208- 2212 ,(2004) , 10.1109/GLOCOM.2004.1378401
Hyundo Park, Heejo Lee, Detecting unknown worms using randomness check international conference on information networking. pp. 775- 784 ,(2006) , 10.1007/11919568_77
P. Ramasubramanian, A. Kannan, Quickprop neural network short-term forecasting framework for a database intrusion prediction system international conference on artificial intelligence and soft computing. pp. 847- 852 ,(2004) , 10.1007/978-3-540-24844-6_131
Karim Tabia, Philippe Leray, Bayesian Network-Based Approaches for Severe Attack Prediction and Handling IDSs' Reliability international conference information processing. pp. 632- 642 ,(2010) , 10.1007/978-3-642-14058-7_65
Pradeep Kannadiga, Mohammad Zulkernine, Anwar Haque, E-NIPS: An Event-Based Network Intrusion Prediction System Lecture Notes in Computer Science. pp. 37- 52 ,(2007) , 10.1007/978-3-540-75496-1_3