Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4771
Title: CLUSTER BASED DATA-AGGREGATION USING LIGHTWEIGHT CRYPTOGRAPHIC ALGORTIHM FOR WIRELESS SENSOR NETWORKS
Authors: Kowsalya, R
Rosiline Jeetha, B
Issue Date: 2022
Publisher: Elsevier
Abstract: Wireless Sensor Networks (WSN) comprises of large number of SNs that are distributed to capture data from other nodes. In WSN, there are diverse secure data aggregation methods are used; however, it fails to address the authentication process. It is extremely confronting to implement authentication while preserving the energy consumption in WNS. The prevailing approaches concentrates on various limitations like sharing security key, key length to enhance authentication. However, it leads data aggregation network exposed to malicious activities. This work presents a novel method to address security and energy issues in WSN which is known as a secure Lightweight cryptographic data-aggregation algorithm (SLC-DAA). The proposed SLC-DAA uses cryptographic primitives like hash functions and XOR operations. This method is used to providing promising solutions in cluster based data-aggregation using higher security and energy consumption model. When compared to existing approaches, the proposed model is simple and provides better computational efficiency and privacy protection.
URI: https://doi.org/10.1016/j.matpr.2021.01.163
Appears in Collections:2.Article (73)

Files in This Item:
File Description SizeFormat 
CLUSTER BASED DATA-AGGREGATION USING LIGHTWEIGHT CRYPTOGRAPHIC ALGORTIHM FOR WIRELESS SENSOR NETWORKS.docx197.72 kBMicrosoft Word XMLView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.