Security Comparison of Blockchain and Cloud-based Identity Management: Considering the Scalability Problem

Qaqish, Evon; Aranki, Aseel; Al‐Haija, Qasem Abu; Qusef, Abdallah

doi:10.1109/icict57646.2023.10134231

Cited by 3 publications

References 35 publications

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Securing Big Data Exchange: An Integrated Blockchain Framework for Full-Lifecycle Data Trading with Trust and Dispute Resolution

Zhou,

Yang,

Yue

et al. 2023

Electronics

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In the era of big data, facilitating efficient data flow is of paramount importance. Governments and enterprises worldwide have been investing in the big data industry, promoting data sharing and trading. However, existing data trading platforms often suffer from issues like privacy breaches, single points of failure, data tampering, and non-transparent transactions due to their reliance on centralized servers. To address these challenges, blockchain-based big data transaction models have been proposed. However, these models often lack system integrity and fail to fully meet user requirements while ensuring adequate security. To overcome these limitations, this paper presents an Ethereum-based big data trading model that establishes a comprehensive and secure trading system. The model aims to provide users with more convenient, secure, and professional services. Through the utilization of smart contracts, users can efficiently match data and negotiate prices online while ensuring secure data delivery through encryption technologies. Additionally, the model introduces a trusted third-party entity that offers professional data evaluation services and actively safeguards user data ownership in the event of disputes. The implementation of the model includes the development of smart contracts and the necessary machine learning code, followed by rigorous testing and validation. The experimental results validate the effectiveness and reliability of our proposed model, demonstrating its potential to ensure effective and secure big data trading.

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Securing Big Data Exchange: An Integrated Blockchain Framework for Full-Lifecycle Data Trading with Trust and Dispute Resolution

Zhou,

Yang,

Yue

et al. 2023

Electronics

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Supply Chain Security, Technological Advancements, and Future Trends

Al-Tamimi,

Abu Al-Haija

2024

Smart and Agile Cybersecurity for IoT and IIoT Environments

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In the digital era, supply chain security (SCS) is paramount for companies, governments, and consumers. Technological advancements, notably IoT and blockchain, enhance supply chain safety and transparency. Blockchain ensures data integrity and traceability, reducing fraud. IoT devices enable real-time monitoring for proactive risk management. Networked sensors provide asset data for preventive maintenance and route optimization. ML and AI algorithms detect security issues, while UAVs and self-driving vehicles enhance logistics. Automated last-mile delivery mitigates human risk. The chapter explores blockchain's role in SCS, addresses challenges, and discusses future advancements to bolster global resilience.

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Security and Privacy of Educational Computational Intelligence

Al-Tamimi,

Abu Al-Haija

2024

Advances in Educational Technologies and Instructional Design

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In today's technological era, educators need to safeguard the security and privacy of their data by employing Computational Intelligence (CI). CI is an aspect of Artificial Intelligence (AI) that concentrates on developing algorithms and systems capable of solving tough societal problems. Several methodologies informed by biological systems and natural events used in CI include Artificial Neural Networks (ANN), fuzzy systems, evolutionary computation, and swarm intelligence. Therefore, CI systems learn and adapt over time, improving performance through experience and interaction with their environment. This versatility and durability render CI valuable for various applications, including data analysis, pattern identification, control systems, and decision-making processes. Confidentiality is critical for securing sensitive information. CI uses sophisticated computational techniques to improve learning experiences, instructional practices, and educational outcomes.

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Security Comparison of Blockchain and Cloud-based Identity Management: Considering the Scalability Problem

Cited by 3 publications

References 35 publications

Securing Big Data Exchange: An Integrated Blockchain Framework for Full-Lifecycle Data Trading with Trust and Dispute Resolution

Securing Big Data Exchange: An Integrated Blockchain Framework for Full-Lifecycle Data Trading with Trust and Dispute Resolution

Supply Chain Security, Technological Advancements, and Future Trends

Security and Privacy of Educational Computational Intelligence

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