An Immune-Based Model for Service Survivability

In order to enhance service survivability, an immune-based model for service survivability, referred to as ISSM, is presented. In the model, the concepts and formal definitions of self, nonself, immunocyte, diversity system, and etc., are given; the antibody concentration and the dynamic change process of host status are described. Building on the relationship between the antibody concentration and the state of an illness in the human immune system, the systemic service capability and the service risk are calculated quantitatively. Based on the differences of the immune system among individuals, a service survivability algorithm, dynamic service migration algorithm, is put forth. Simulation results show that the model is real-time and adaptive, thus providing an effective solution for service survivability.

[1]  Stephanie Forrest,et al.  Infect Recognize Destroy , 1996 .

[2]  Nancy R. Mead,et al.  Requirements definition for survivable network systems , 1998, Proceedings of IEEE International Symposium on Requirements Engineering: RE '98.

[3]  Gregg H. Gunsch,et al.  An artificial immune system architecture for computer security applications , 2002, IEEE Trans. Evol. Comput..

[4]  Peter J. Bentley,et al.  Towards an artificial immune system for network intrusion detection: an investigation of dynamic clonal selection , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[5]  John McHugh,et al.  Life-Cycle Models for Survivable Systems , 2002 .

[6]  Bharat B. Madan,et al.  Modeling and quantification of security attributes of software systems , 2002, Proceedings International Conference on Dependable Systems and Networks.

[7]  Guan Xiao-hong.  An Intrusion Detection Framework Based on Information Fusion , 2003 .

[8]  Kevin J. Sullivan,et al.  Towards a rigorous definition of information system survivability , 2003, Proceedings DARPA Information Survivability Conference and Exposition.

[9]  Xiang Hong.  Model for the Deliver of Essential Services in the Survivability Network System Based on Mobile Agent , 2004 .

[10]  Vickie R. Westmark.  A definition for information system survivability , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[11]  Song Chen.  A Real-Time Method of Risk Evaluation Based on ArtificialImmune System for Network Security , 2005 .

[12]  L. Chuanyou,et al.  Systemic defense signaling in tomato , 2005 .

[13]  Tao Li,et al.  An immune based dynamic intrusion detection model , 2005 .

[14]  Joseph L. Kirschvink,et al.  Late Cenozoic high-resolution magnetostratigraphy in the Kunlun Pass Basin and its implications for the uplift of the northern Tibetan Plateau , 2005 .

[15]  Tao Li,et al.  An immunity based network security risk estimation , 2005, Science in China Series F: Information Sciences.

[16]  Uwe Aickelin,et al.  Data Reduction in Intrusion Alert Correlation , 2008, ArXiv.