A cloud-based intrusion detection service framework.

• Main Authors: Yassin, Warusia, Udzir, Nur Izura, Muda, Zaiton, Abdullah, Azizol, Abdullah @ Selimun, Mohd Taufik
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2012
• Online Access: http://psasir.upm.edu.my/id/eprint/27717/1/ID%2027717.pdf; http://psasir.upm.edu.my/id/eprint/27717/
• Institution: Universiti Putra Malaysia

Intrusion Detection System (IDS) have become increasingly popular over the past years as an important network security technology to detect cyber attacks in a wide variety of network communication. IDS monitors' network or host system activities by collecting network information, and analyze this information for malicious activities. Cloud computing, with the concept of Software as a Service (SaaS) presents an exciting benefit when it enables providers to rent their services to users in perform complex tasks over the Internet. In addition, Cloud based services reduce a cost in investing new infrastructure, training new personnel, or licensing new software. In this paper, we introduce a novel framework based on Cloud computing called Cloud-based Intrusion Detection Service (CBIDS). This model enables the identification of malicious activities from different points of network and overcome the deficiency of classical intrusion detection. CBIDS can be implemented to detect variety of attacks in private and public Clouds.