Lightweight cryptographic algorithms based on different model architectures: A systematic review and futuristic applications

Bhagat, Vijesh; Kumar, S. Chaitanya; Gupta, Sumiti; Chaube, Mithilesh Kumar

doi:10.1002/cpe.7425

Cited by 13 publications

(12 citation statements)

References 67 publications

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“…By using the exclusive-or (XOR) function, stream ciphers combine a stream of plaintext sequences with a stream of pseudorandom cryptographic hash sequences to encrypt data. If used properly, stream ciphers can provide a robust layer of security for a wide range of communications settings, including wireless networks, the Internet, and associated transactions [150]. In order to encrypt data, stream ciphers frequently use a keystream that is calculated from a secret key.…”

Section: Stream Cipher Methodsmentioning

confidence: 99%

A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review

Tariq

Ahmed

Bashir

et al. 2023

Sensors

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The emergence of the Internet of Things (IoT) technology has brought about tremendous possibilities, but at the same time, it has opened up new vulnerabilities and attack vectors that could compromise the confidentiality, integrity, and availability of connected systems. Developing a secure IoT ecosystem is a daunting challenge that requires a systematic and holistic approach to identify and mitigate potential security threats. Cybersecurity research considerations play a critical role in this regard, as they provide the foundation for designing and implementing security measures that can address emerging risks. To achieve a secure IoT ecosystem, scientists and engineers must first define rigorous security specifications that serve as the foundation for developing secure devices, chipsets, and networks. Developing such specifications requires an interdisciplinary approach that involves multiple stakeholders, including cybersecurity experts, network architects, system designers, and domain experts. The primary challenge in IoT security is ensuring the system can defend against both known and unknown attacks. To date, the IoT research community has identified several key security concerns related to the architecture of IoT systems. These concerns include issues related to connectivity, communication, and management protocols. This research paper provides an all-inclusive and lucid review of the current state of anomalies and security concepts related to the IoT. We classify and analyze prevalent security distresses regarding IoT’s layered architecture, including connectivity, communication, and management protocols. We establish the foundation of IoT security by examining the current attacks, threats, and cutting-edge solutions. Furthermore, we set security goals that will serve as the benchmark for assessing whether a solution satisfies the specific IoT use cases.

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Section: Stream Cipher Methodsmentioning

confidence: 99%

A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review

Tariq

Ahmed

Bashir

et al. 2023

Sensors

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“…Alsamhi et al 34 The collaboration of advanced technologies can reduce life losses, save people's lives, and manage disaster crises. The network performance of collaboration between the Internet of Things (IoT) and drone edge intelligence can help gather and process data, extend the wireless coverage area, deliver medical emergencies, provide real‐time information about the emergency, and gather data from impossible areas for humans to reach.…”

Section: Related Workmentioning

confidence: 99%

“…It can be challenging to achieve a low false positive rate 27 and depends on the data the model has been employed within 2829 . it must follow some preparation procedures, and 30,31 it must be able to detect different types of attacks with an effective fault‐tolerant capacity, 32 the method is not secure, 33 the method is not able to handle the load, 34 the model not able to detect all attacks. Therefore, it is understood the existing techniques were unable to accurately identify various malware attacks and data breaches and prevent the theft of private keys.…”

Section: Related Workmentioning

confidence: 99%

Hyper contour cryptography with master Birch‐Brown Paruvala‐SLSTM model for enhanced healthcare security

Angelin,

Franklin

2023

Trans Emerging Tel Tech

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Blockchain is a reliable ledger database that may be used to store various private healthcare data, but uploading and sharing data is difficult due to privacy concerns. Hence, to overcome these issues, a novel HCCLO with master Birch‐Brown Paruvala‐SLSTM model has been proposed to store various patients' medical data and shield it from threats. Hyper Contour Cryptography with Lepidoptera Optimization (HCCLO) has been proposed in this model, which encrypts data to reduce unwanted time stamp creation and prevent private key theft. Also, the Master Birch‐Brown‐Parulava NN design is introduced to prevent a false identity that leads to a data breach, and it allows for private exchange and enhances framework reconciliation, acting as an immune response to information breaks in the chain and preventing data breaches from spreading further. Then, the SLSTM layer implant RF Classifier is introduced to categorize data as user requests and attacks, safeguarding the blocks against changeability caused by malware attacks. The proposed approach offers minimal block mine time, maximum accuracy, and healthcare data security.

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“…The physical security challenges faced by IoT systems highlight the need for lightweight cryptographic algorithms and primitives that can address both resource limitations and security levels [2][3][4]. The need for lightweight ciphers featuring efficient implementations of non-linear S-boxes for practical IoT applications is discussed in [5][6][7]. The substantial factor of consideration also encompasses the desirable resistance of lightweight S-boxes to linear and differential cryptanalysis.…”

Section: Introductionmentioning

confidence: 99%

Lightweight Image Encryption Scheme for IoT Environment and MachineLearning-Driven Robust S-box Selection

Mehmood,

Shafique,

Khan

et al. 2024

Preprint

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The Substitution Box (S-Box) plays a critical role in several block cipher cryptosystems due to its ability to provide essential properties of non-linearity and confusion. Therefore, incorporating a strong S-Box is critical for ensuring a high level of security and optimal performance of block cipher algorithms. In recent years, a variety of S-boxes have been developed, which fall into different robustness categories, such as high, medium, or low. Examining the robustness of an S-box to enhance cryptosystems in terms of security is a challenging task. Although parameters such as Bit Independence Criterion (BIC), Nonlinearity (NL), Strict Avalanche Criterion (SAC), Linear Approximation Probability (LP), and Differential Uniformity (DU) can be useful to determine the robustness levels, manually evaluating each S-box is an ineffective and time-consuming approach. To overcome this challenge, a machine learning model is developed, utilizing the parameters that evaluate the strength of the S-box as features. Additionally, a novel lightweight image encryption scheme suited for IoT applications is also proposed, incorporating various S-boxes. Implementing robust S-boxes also strengthens the security of the proposed encryption scheme. However, to enhance its security further, four distinct cryptographic techniques such as chaotic maps, Discrete Wavelet Transform (DWT), Substitution Box (S-box), and Dynamic Random Phase Encoding (DRPE) are employed. To evaluate the efficiency of the proposed encryption scheme in terms of statistical and visual analysis, numerous parameters are considered, including entropy, correlation, contrast, energy, noise and cropping attack analysis, histogram analysis, correlation, entropy, differential analysis, occlusion attack, noise attack, and speed performance analysis. Moreover, a detailed comparison is performed between the proposed and existing encryption schemes to demonstrate that the proposed approach is more efficient than existing ones.

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Lightweight cryptographic algorithms based on different model architectures: A systematic review and futuristic applications

Cited by 13 publications

References 67 publications

A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review

A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review

Hyper contour cryptography with master Birch‐Brown Paruvala‐SLSTM model for enhanced healthcare security

Lightweight Image Encryption Scheme for IoT Environment and MachineLearning-Driven Robust S-box Selection

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