Decentralized Blockchain Network for Resisting Side-Channel Attacks in Mobility-Based IoT

Olanrewaju, Rashidah Funke; Khan, Burhan Ul Islam; Kiah, Miss Laiha Mat; Abdullah, Nor Aniza; Goh, Khang Wen

doi:10.3390/electronics11233982

Cited by 4 publications

(1 citation statement)

References 64 publications

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“…Yet another post quantum signature mechanism has employed in [19] to combat against side-channel attack. A decentralized blockchain network employing lightweight finite field encryption has proposed in [20].…”

Section: Related Workmentioning

confidence: 99%

Enhancing data security in cloud computing: a blockchain-based Feistel cipher encryption and multiclass vector side-channel attack detection approach

2024

IJATEE

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Cloud computing (CC) permits more users for storing as well as distributing their applications and data. CC continuously evolving technology that can improve agility, availability, collaboration, and scalability of data. It offers on-demand solution for different applications namely data storage, servers, databases, networking, and software. One of the most challenging issues in CC is detecting attacks. Parallel sponge-based authenticated encryptionwith sidechannel protection and adversary-invisible nonces (PSASPIN) to sponge construction was designed [1]. Moreover, leveled implementation has also utilized in implementing key generation via pseudo random function (PRF). Next, data preprocessing has utilized to minimize the code size. Finally, security proof has ensured using game theory and therefore processing shorter messages significantly. The authenticated encryption (AE) schemes such as security, performance, and efficiency are enhanced.*Author for correspondence Despite improvement found in terms of communication complexity and throughput were not focused.Side channel assault also utilizes physical data which leaks as of cryptographic tool. For avoiding from these attacks, divide-and-conquer approach is employed. Here, malicious user splits key into subkeys, endeavors for recuperating sub-keys distinctly as well as integrates them to create key. Reinforcement-strategy-based side-channel attack has designed in [2] with divide-and-conquer. Initially, the power leakage models are modified, and accuracy has improved. Next, the recovered sub-keys are integrated during the attack phase through validation therefore mitigating side-channel attacks significantly and improving the successful recovery rate. Though successful recovery rate has ensured but the detection time and accuracy have not focused. The disclosure of the cloud storage in the recent years carries enormous east to person life. Moreover, business establishments as well as organizations transmitted huge data for storage also. However, the data privacy

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Section: Related Workmentioning

confidence: 99%

Enhancing data security in cloud computing: a blockchain-based Feistel cipher encryption and multiclass vector side-channel attack detection approach

2024

IJATEE

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Integrating AI and Blockchain for Enhanced Data Security in IoT-Driven Smart Cities

Khan,

Goh,

Khan

et al. 2024

Processes

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Blockchain is recognized for its robust security features, and its integration with Internet of Things (IoT) systems presents scalability and operational challenges. Deploying Artificial Intelligence (AI) within blockchain environments raises concerns about balancing rigorous security requirements with computational efficiency. The prime motivation resides in integrating AI with blockchain to strengthen IoT security and withstand multiple variants of lethal threats. With the increasing number of IoT devices, there has also been a spontaneous increase in security vulnerabilities. While conventional security methods are inadequate for the diversification of IoT devices, adopting AI can assist in identifying and mitigating such threats in real time, whereas integrating AI with blockchain can offer more intelligent decentralized security measures. The paper contributes to a three-layered architecture encompassing the device/sensory, edge, and cloud layers. This structure supports a novel method for assessing legitimacy scores and serves as an initial security measure. The proposed scheme also enhances the architecture by introducing an Ethereum-based data repositioning framework as a potential trapdoor function, ensuring maximal secrecy. To complement this, a simplified consensus module generates a conclusive evidence matrix, bolstering accountability. The model also incorporates an innovative AI-based security optimization utilizing an unconventional neural network model that operates faster and is enhanced with metaheuristic algorithms. Comparative benchmarks demonstrate that our approach results in a 48.5% improvement in threat detection accuracy and a 23.5% reduction in processing time relative to existing systems, marking significant advancements in IoT security for smart cities.

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A Scalability Enhancement Scheme for Ethereum Blockchains: A Graph-based Decentralized Approach

Khan,

Goh,

Zuhairi

et al. 2024

Eng. Technol. Appl. Sci. Res.

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Amidst the rising demands for data security across expansive networks, blockchain technology is witnessing an upsurge in its adoption, particularly within Internet of Things (IoT) applications, services, and smart cities. Blockchains offer an immutable property that bolsters security and aids in the structured management of distributed ledgers. Nevertheless, ensuring scalability remains a formidable challenge, especially within decentralized Ethereum systems. Current methods often fall short of offering tangible solutions, and the scrutiny of Ethereum-based cases reveals persistent deficiencies in addressing scalability issues due to inherent system complexities, dependency on resource-intensive consensus algorithms, lack of optimized storage solutions, and challenges in ensuring synchronous transaction validation across a decentralized network. This paper proposes a foundational scheme underpinned by a unique graph-based topology and hash bindings for nodes that join the system. The proposed scheme establishes an innovative indexing mechanism for all transactions and blocks within the IoT framework, ensuring optimal node accessibility. Transaction and block replications occur over the joining nodes' graphical structure, ensuring efficient subsequent retrieval. A standout feature of the proposed scheme is its ability to enable participating nodes to forgo retaining a complete ledger, making it non-reliant on individual node capabilities. Consequently, this facilitates a broader spectrum of nodes to participate in the consensus system, irrespective of their operational prowess. This study also offers a novel empirical model for Proof-of-Validation (PoV), which reduces computational intricacy and expedites the validation process in stark contrast to prevailing blockchain systems.

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Decentralized Blockchain Network for Resisting Side-Channel Attacks in Mobility-Based IoT

Cited by 4 publications

References 64 publications

Enhancing data security in cloud computing: a blockchain-based Feistel cipher encryption and multiclass vector side-channel attack detection approach

Enhancing data security in cloud computing: a blockchain-based Feistel cipher encryption and multiclass vector side-channel attack detection approach

Integrating AI and Blockchain for Enhanced Data Security in IoT-Driven Smart Cities

A Scalability Enhancement Scheme for Ethereum Blockchains: A Graph-based Decentralized Approach

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