Applying Hopfield Artificial Network and Simulating Annealing for Cloud Intrusion Detection
Bashair Al-Shdaifat, Wafaâ€™ Slaibi Alsharafat, Mohmmad el-bashir
Journal of Information Security Research, Vol. 6, No. 1, 2015.
DOI: 
Link: http://www.dline.info/jisr/fulltext/v6n2/v6n2_2.pdf
Abstract:
Recently, Cloud Computing is a new paradigm trend in network environments that handles and manages a vast
number of users by sharing services and data, for achieving this mission; safety and security of shared services and data are
the main concerns for this type of environment. Intrusion Detection is an effective technique used to deal with security
violations in such environment. Here, an Anomaly Intrusion Detection model of cloud environment will be proposed which
based on using hybrid artificial intelligent algorithms; Hopfield neural networks simulated annealing.