MSS: A Multi-Level Data Placement Scheme for Data Survival in Wireless Sensor Networks

In recently popularized unattended wireless sensor networks, sensed data are stored locally or some designated nodes for a long term and retrieved sometime by collectors on demand. Such data may be delete or modified as sensor nodes are always exposed to risks such as random failure and mobile adversary. To maximize the data survival, we propose a secure and efficient scheme MSS. MSS makes use of hop-bounded computational secret sharing to achieve fault tolerance and compromise resilience, and takes advantages of multi-level secret sharing to mitigate communication overhead and improve overall security. MSS has the most advantages in terms of security and efficiency among presented schemes, as justified by our analysis.