Earticle

초록

영어

The previous works in sensor networks security have focused on the aspect of confidentiality, authentication and integrity based on cryptographic primitives. There has been no prior work to assess the survivability in systematic way. Accordingly, this paper presents a survivability model of wireless sensor networks using software rejuvenation for dual adaptive cluster head. The survivability model has state transition to reflect status of real wireless sensor networks. In this paper, we only focus on a survivability model which is capable of describing cluster head compromise in the networks and able to switch over the redundant cluster head in order to increase the survivability of that cluster. Second, this paper presents how to enhance the survivability of sensor networks using software rejuvenation methodology for dual cluster head in wireless sensor network. We model and analyze each cluster as a stochastic process based on Semi Markov Process (SMP) and Discrete Time Markov Chain (DTMC). The proof of example scenarios and numerical analysis shows the feasibility of our approach.

목차

ABSTRACT
 1. Introduction
 2. Related Works
 3. A Framework of Survivability Model
  3.1 Semi–Markov Model
  3.2 Model Analysis for Software Rejuvenation
 4. Security Analysis and Discussion
  4.1 Security Analysis
  4.2 Discussion and Future work
 5. Conclusion
 참고문헌

저자

• Sazia Parvin [ Dept. of Computer Engineering, Korea Aerospace University ]
• Thandar Thein [ Dept. of Computer Engineering, Korea Aerospace University ]
• Dong Seong Kim [ Dept. of Computer Engineering, Korea Aerospace University ]
• Jong Sou Park [ Dept. of Computer Engineering, Korea Aerospace University ]

참고문헌