Energy-efficient secure pattern based data aggregation for wireless sensor networks

TL;DR: The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity.

TL;DR: This work presents the first algorithm for provably secure hierarchical in-network data aggregation, and is guaranteed to detect any manipulation of the aggregate by the adversary beyond what is achievable through direct injection of data values at compromised nodes.

TL;DR: The framework for end-to-end encrypted data aggregation has higher computation cost on the sensor nodes, but achieves stronger security, in comparison with the framework for hop-by-hopencrypted data aggregation.

TL;DR: The design has been generalized and adopted on both homogeneous and heterogeneous wireless sensor networks and can recover all sensing data even these data has been aggregated, called “recoverable.”

TL;DR: S-MAC uses three novel techniques to reduce energy consumption and support self-configuration, and applies message passing to reduce contention latency for sensor-network applications that require store-and-forward processing as data move through the network.

TL;DR: This chapter identifies the vulnerabilities associated with the operational paradigms currently employed by Wireless Sensor Networks and a framework for implementing security in WSNs, which identifies the security measures necessary to mitigate the identified vulnerabilities.

TL;DR: In this article, the authors explore and evaluate the use of directed diffusion for a simple remote-surveillance sensor network analytically and experimentally and demonstrate that directed diffusion can achieve significant energy savings and can outperform idealized traditional schemes under the investigated scenarios.