Design & Development of Efficient Algorithms for Secure Communication : Contextual to Internet of Things

Shamshekhar S. Patil

ISBN 10: 6206751066 / ISBN 13: 9786206751069

Published by LAP LAMBERT Academic Publishing, 2023

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This research focuses on designing and developing efficient algorithms for secure communication in the context of the Internet of Things (IoT). The study aims to address security and privacy concerns in IoT devices, considering their resource constraints. The research proposes novel cryptographic protocols, key management schemes, and authentication mechanisms optimized for IoT environments. Various communication models and network topologies are explored, and the algorithms are evaluated based on performance metrics such as computational complexity, memory utilization, and energy consumption. The outcomes of this research will contribute to the development of secure communication solutions for IoT, benefiting various domains like smart homes, healthcare, and industrial automation.

Seller Inventory # 9786206751069

Bibliographic Details

• Title: Design & Development of Efficient Algorithms for Secure Communication : Contextual to Internet of Things
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2023
• Language: English
• ISBN 10: 6206751066
• ISBN 13: 9786206751069
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 9D millimeters 220 millimeters width by 150 millimeters height by 9 millimeters depth
• Weight: 238 grams

About this title

Synopsis

This research focuses on designing and developing efficient algorithms for secure communication in the context of the Internet of Things (IoT). The study aims to address security and privacy concerns in IoT devices, considering their resource constraints. The research proposes novel cryptographic protocols, key management schemes, and authentication mechanisms optimized for IoT environments. Various communication models and network topologies are explored, and the algorithms are evaluated based on performance metrics such as computational complexity, memory utilization, and energy consumption. The outcomes of this research will contribute to the development of secure communication solutions for IoT, benefiting various domains like smart homes, healthcare, and industrial automation.