TY - JOUR
AU - 
AB - Journal of Computers A Collaborative Load Balancer for Network Intrusion Detection in Cloud Environments 1* 1 2 1 Taha Arian , Amir Kusedghi , Bijan Raahemi , Ahmad Akbari 1 School of Computer Engineering Iran University of Science and Technology, Tehran, Iran. 2 University of Ottawa, Ottawa, Canada. * Corresponding author. Tel.: (0098) 912-6403212; email: t_arian@ce.sharif.edu Manuscript submitted September 15, 2015; accepted December 28, 2015. doi: 10.17706/jcp.12.1.28-47 Abstract: Information security and permeability in the system is a major concern for cloud computing. Cloud service providers should ensure that user information remains private from other people (external or internal). Deployment of an intrusion detection system (IDS) is a technique to protect the cloud from existing security and intrusion threats. Due to the high traffic volume and the need for flexibility and the diversity of applications in a cloud environment, a distributed IDS is used to apply traffic management, and provide scalability concurrently. The challenge is to propose a method of load balancing that distributes input traffic among IDS sensors, and optimally balance the workload on the sensors, to improve the overall performance of the IDS, with minimum degradation in quality. In this paper, a load balancing method is presented which 
TI - A Collaborative Load Balancer for Network Intrusion Detection in Cloud Environments
JF - Journal of Computers
DO - 10.17706/jcp.12.1.28-47
DA - 2017-01-01
UR - https://www.deepdyve.com/lp/unpaywall/a-collaborative-load-balancer-for-network-intrusion-detection-in-cloud-r40vmnVmBk
DP - DeepDyve
ER -