Title :
Approximate Packet Classification and Stateful Rule DFA for Cloud Intrusion Detection
Author :
Yimei Jin ; Pan, Jeng-Shyang ; Kuo-Kun Tseng ; Hu, Wu-Chih
Author_Institution :
Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Shenzhen, China
Abstract :
This paper propose a new intrusion detection system architecture, which can be used by cloud intrusion detection. Our new architecture uses the inaccurate hashing to obtain a fast packet inspection and applies a new stateful rule DFA to track session inspection process. After a preliminary analysis, the new architecture should be feasible in the real application.
Keywords :
cloud computing; cryptography; inspection; software architecture; approximate packet classification; cloud intrusion detection; hashing; intrusion detection system architecture; packet inspection; session inspection process; stateful rule DFA; Algorithm design and analysis; Automata; Classification algorithms; Inspection; Intrusion detection; Support vector machine classification; Vectors; Packet classification; cloud intrusion detection; stateful packet inspection;
Conference_Titel :
Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4673-2033-7
DOI :
10.1109/CMCSN.2012.57
