The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Objectives: A reliable and effective data communication is required without imposing overheads in terms of energy, communication costs, processing and the network latency. Data aggregation is the process which provides capabilities like In-Network processing, reducing the communication overhead, eliminating redundant packet transmissions and increases the lifetime of the network. Methods: A method for implementing secure data aggregation using Lightweight Cryptographic primitives is proposed which is suitable for resource constrained networks. Security services provided include authentication, integrity and confidentiality. A Lightweight Cryptography algorithm SPECK is used for encryption and decryption of the aggregated data. Instead of using the same key repeatedly an unique key is generated for every session. Findings: By implementing security primitives it is possible to provide basic services that are required to make the established network immune to attacks. The proposed method is analysed in terms of execution time, memory usage and throughput and provides better results in comparison to existing standard encryption algorithms. Application/Improvement: It is very well suited for application in which the data needs to be processed periodically and continuously. The future scope of work includes analyzing the scalability and communication overhead for large network of nodes and Homomorphic evaluation of the algorithm to deliver end-to-end security services.

Keywords

Lightweight cryptography, SPECK, Secure Data Aggregation, Wireless Sensor Network.
User