Efficient and Secure Data Handling in IoT Networks: Robust Lightweight Approach

A network of physical things that are outfitted with sensors, smart networking, and RFID technology is referred to as the "Internet of Things" (IoT), which is an abbreviation for the phrase. The items in question are able to communicate with one another and share data with other systems and devices respectively. Information security is of the utmost importance since by the year 2020, there will be more than fifty billion devices connected to the internet. Traditional cryptography, such as the Advanced Encryption Standard (DES) and the Advanced Encryption Standard (AES), does not take into account the necessary hardware and software, the amount of power consumed, the size of the code, or the amount of memory overhead. NLBSIT, an Energy Efficient and Low-Pooled Memory Cryptographic Algorithm, and a Robust Lightweight Algorithm are the three lightweight encryption methods that are described in this thesis. NLBSIT is an acronym for natural language based secure information transfer. These algorithms are intended for use with devices connected to the Internet of Things. In order to solve the problems that Internet of Things devices encounter, such as excessive memory usage, power consumption, and energy consumption, these algorithms have been developed.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/ihcsp63227.2024.10959883
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
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Efficient and Secure Data Handling in IoT Networks: Robust Lightweight Approach

Neeta Pandey, B. Ashok, Pooja Sharma, S. Prabagaran et al.
Cryptography and Data Security
article

Efficient and Secure Data Handling in IoT Networks: Robust Lightweight Approach

Neeta Pandey, B. Ashok, Pooja Sharma, S. Prabagaran, Krishna Reddy B N, Nishanthi Nishanthi
article en

Abstract

A network of physical things that are outfitted with sensors, smart networking, and RFID technology is referred to as the "Internet of Things" (IoT), which is an abbreviation for the phrase. The items in question are able to communicate with one another and share data with other systems and devices respectively. Information security is of the utmost importance since by the year 2020, there will be more than fifty billion devices connected to the internet. Traditional cryptography, such as the Advanced Encryption Standard (DES) and the Advanced Encryption Standard (AES), does not take into account the necessary hardware and software, the amount of power consumed, the size of the code, or the amount of memory overhead. NLBSIT, an Energy Efficient and Low-Pooled Memory Cryptographic Algorithm, and a Robust Lightweight Algorithm are the three lightweight encryption methods that are described in this thesis. NLBSIT is an acronym for natural language based secure information transfer. These algorithms are intended for use with devices connected to the Internet of Things. In order to solve the problems that Internet of Things devices encounter, such as excessive memory usage, power consumption, and energy consumption, these algorithms have been developed.

Jain University (IN), Shri Venkateshwara University (IN), Karpagam Academy of Higher Education (IN), Chitkara University (IN)
Openalex Percentile: Top 73%
Cryptography and Data Security
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