A Modified Tiny Encryption Algorithm Using Key Rotation to Enhance Data Security for Internet of Things

Leon, Rey M. De; Sison, Ariel M.; Medina, Ruji P.

doi:10.1109/icoiact46704.2019.8938456

Cited by 4 publications

(5 citation statements)

References 22 publications

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“…In 2019, the authors in [21] proposed another modified version of TEA to enhance data security for IoT. The proposed modification includes the introduction of key rotation, which changes the encryption key at regular intervals to prevent attacks that may exploit weaknesses in a static key.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Zyara,

Mhaibes,

Shallal

2024

JCSANDM

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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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Section: Literature Reviewmentioning

confidence: 99%

“…In general, achieving cryptographically secure keys are challenging task in lightweight cryptography due to the limitations of conducted devices [14,15]. Consequently, several modifications to TEA have been proposed to overcome this issue [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

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

Zyara,

Mhaibes,

Shallal

2024

JCSANDM

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“…As a result, a Modified TEA Algorithm (MTEA) is presented, which employs a Linear Feedback Shift Register (LFSR) to mitigate the TEA algorithm's weaknesses against assaults. The MTEA method is implemented in this paper, along with a comparison of the regular TEA algorithm in terms of area and energy usage [9]. To achieve security, plain text is encrypted and decrypted in TEA using orthogonal algebraic group operations with lots of rounds.…”

Section: Related Workmentioning

confidence: 99%

AL-TEA: Alternative Tea Algorithm for Healthcare Image in IoT

Babulal¹,

Sharma²

2022

IJRITCC

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Millions of devices are predicted to be connected via the Internet of Things (IoT), which is a promising technology for the future. In numerous industries, interest in leveraging the Internet of Things is predicted to expand. Various IoT applications in the healthcare industry are being studied, and the potential for IoT to improve healthcare will be huge. The rise in communications is likely to result in mountains of data, posing a danger to data security. The architecture's gadgets are substantially smaller and less powerful. Due to their complexity, traditional encryption algorithms are computationally demanding, requiring a significant number of rounds for encryption, and draining the limited power of devices. A less sophisticated method, on the other hand, may jeopardise the desired result. Many encryption techniques have recently been suggested to guarantee the security of data transmission across the Internet of Things. Because it requires less memory and is simple to implement in both hardware and software, of all the algorithms, the Tiny Encryption Algorithm (TEA) seems to be the most appealing. TEA has a number of flaws, particularly when it comes to equivalent keys and matching key assaults. As a result, in this study, we present "AL-TEA: An Alternative TEA Technique for Healthcare Images in the IoT," a lightweight encryption algorithm.

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“…In 2019, a new modification to TEA was proposed by De Leon et al in [17]. They improved the security of TEA using new key scheduling to rotate subkeys every round function.…”

Section: Related Workmentioning

confidence: 99%

“…Due to TEA's simple key scheduling, equivalent key attacks are possible. Numerous TEA modifications have been suggested over the last few years to solve the issue [14], [15], [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Simple Lightweight Cryptographic Algorithm to Secure Imbedded IoT Devices

Mhaibes

Abood²,

Farhan³

2022

Int. J. Interact. Mob. Technol.

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The internet of things (IoT) revolution has been sparked by the exponential increase in connected devices caused by recent advances in wireless technology. These embedded devices gather, analyze, and send vast data via the network. Data transmission security is a primary problem in IoT networks. Several lightweight encryption/decryption algorithms have been developed for such resource-constraint devices. One of most effective and fast lightweight encryption algorithms for IoT applications is the Tiny Encryption Algorithm (TEA). TEA has few lines source of codes to implement and based on Feistel structure to provide cryptographic primitive confusion and diffusion features in order to hide statistical aspects of plaintext. However, it is vulnerable to assaults using equivalent and related key attacks. This study suggested modifying TEA by employing a new proposed generating keys function using two Linear Feedback Shift Registers (LFSRs) as a combination to address the security flaw caused by utilizing different keys for each round function. The key sensitivity, Avalanche effect, and a completeness test were used to evaluate its security performance. The key sensitivity of the proposed modified TEA outperforms original TEA by 50.18 % to 44.88 %. The modified TEA avalanche effect outperforms TEA by 52.57 % to 47.69 %, and its completeness test outperforms TEA by 51.75 % to 48.36 %. Experimental results indicates that, the encryption performance of proposed modified TEA is better than original TEA.

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A Modified Tiny Encryption Algorithm Using Key Rotation to Enhance Data Security for Internet of Things

Cited by 4 publications

References 22 publications

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

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

AL-TEA: Alternative Tea Algorithm for Healthcare Image in IoT

Simple Lightweight Cryptographic Algorithm to Secure Imbedded IoT Devices

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