Enhancement of Tiny Encryption Algorithm for Resource-Constrained WSNs Using Four Connected Additive Fibonacci Generators

Authors

  • Atheer Hussein Zyara College of Health & Medical Technology, Middle Technical University, Baghdad, Iraq
  • Hakeem Imad Mhaibes Technical Institute of Kut, Middle Technical University, Baghdad, Iraq
  • Qahtan Makki Shallal Management Technical College of Basra, Southern Technical University, Basrah, Iraq

DOI:

https://doi.org/10.13052/jcsm2245-1439.1331

Keywords:

Wireless sensor network, constraint devices, lagged fibonacci generator, lightweight cryptography, random number generator

Abstract

The usage of wireless sensor networks (WSN) is widespread in industries where data security is crucial. Due to the energy and computational limits of WSN, the cryptographic protocols designed for it must be as computationally cheap as feasible. The components of these protocols, such as the random number generator, are subject to the same constraints. For such resource-constrained devices, several lightweight encryption techniques have been created. One of the most efficient lightweight ciphers is Tiny Encryption Algorithm (TEA). TEA uses a few lines of source code that are based on Feistel. It is however susceptible to attacks utilizing equivalent and related key attacks. In order to address TEA’s key vulnerabilities, a modification is suggested in this paper that focuses on key creation. Four connected Additive Fibonacci Generators (AFGs) make up the structure, which addresses the security vulnerability by using a unique key each round. Performance evaluation was assessed using three statistical tests: avalanche effect, randomness analysis, and completeness testing. Through experimental results, ATEA outperforms TEA by an average of 51.68 % to 47.51 % for the avalanche effect, and 51.95 % to 48.36 % for the completeness test, and satisfies all the NIST requirements. Results of advanced security measurements indicate that, ATEA can be used to secure WSN devices.

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Author Biographies

Atheer Hussein Zyara, College of Health & Medical Technology, Middle Technical University, Baghdad, Iraq

Atheer Hussein Zyara is a teacher at the computer center at College of Health and Medical Technology/ Baghdad. Middle technical University – Baghdad – Iraq. He completed his bachelor degree in Computer Science at Al-Mustansiriya University, Iraq in 2008. He completed his MSC degree in computer science at Hamdard University, India in 2011 the teacher Atheer Hussein Zyara is the author of numerous technical papers since 2013, his research interests include: Cryptography, programming languages, Chaos theory, cloud computing.

Hakeem Imad Mhaibes, Technical Institute of Kut, Middle Technical University, Baghdad, Iraq

Hakeem Imad Mhaibes is a member of the Middle Technical University, Baghdad, Iraq. He received the BSc degree in computer science from the Al-Mustansiriyah University, Baghdad, and the Msc degree in computer science (computer programming) from Jamia Hamdard University, New Delhi, India in 2011 and the Ph.D. degree in information security from the University of Technology, in 2019. His research interests include Cryptography, Information Security, Wireless Sensor Network, Biometric Techniques, Image Processing, and Pattern Recognition, Programming.

Qahtan Makki Shallal, Management Technical College of Basra, Southern Technical University, Basrah, Iraq

Qahtan Makki Shallal is presently working as a head of department in the Information Technologies department, technical management college, southern technical university, Basra, (Iraq). He has a vast teaching experience of more than 12 years. Dr. Qahtan obtained his doctorate in the field of network security from Aligarh Muslim University (AMU), and master’s degree in computer science from Hamdard University in New Delhi. His research interests include cryptography, cloud computing, smart grid, wireless sensor networks, and machine learning.

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Published

2024-04-09

How to Cite

1.
Zyara AH, Mhaibes HI, Shallal QM. Enhancement of Tiny Encryption Algorithm for Resource-Constrained WSNs Using Four Connected Additive Fibonacci Generators. JCSANDM [Internet]. 2024 Apr. 9 [cited 2024 Aug. 11];13(03):349-68. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/23785

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2024: Vol 13 Iss 3

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