Blockchain-Based Architecture for Secured Cyber-Attack Features Exchange

Ajayi, Oluwaseyi; Saadawi, Tarek

doi:10.1109/cscloud-edgecom49738.2020.00025

Cited by 13 publications

(5 citation statements)

References 16 publications

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“…Blockchain technology also enhances security in small businesses by mitigating the risk of data breaches and unauthorized access. Unlike traditional centralized databases, which are vulnerable to cyberattacks and insider threats, blockchain operates on a distributed network of nodes, each with its copy of the ledger (Ajayi, and Saadawi, 2020;Singh, et al, 2021). This redundancy ensures that even if some nodes fail or are compromised, the network as a whole remains operational.…”

Section: How Blockchain Enhances Security In Small Businessesmentioning

confidence: 99%

Blockchain for enhancing small business security: A theoretical and practical exploration

Babajide Tolulope Familoni,

Emmanuel Adeyemi Abaku,

Agnes Clare Odimarha

2024

Open Access Research Journal of Multidisciplinary Studies

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The review provides an overview of the theoretical and practical exploration of utilizing blockchain technology to enhance security in small businesses. Small businesses face significant security challenges in the digital age, including data breaches, fraud, and cyberattacks. This paper investigates how blockchain, as a decentralized and immutable ledger technology, can address these challenges by providing transparency, integrity, and trust in business operations. Through a comprehensive examination of blockchain fundamentals and its application in small business contexts, this study elucidates the mechanisms through which blockchain enhances security. Drawing on case studies and theoretical frameworks, the paper explores successful implementations of blockchain solutions, practical considerations for adoption, and the regulatory landscape governing blockchain in small businesses. Additionally, it evaluates the risks and benefits associated with blockchain adoption, providing insights into the potential impact on business operations and compliance requirements. Finally, the paper discusses future trends and innovations in blockchain technology, offering a roadmap for small businesses to navigate the evolving landscape of security solutions. This theoretical and practical exploration underscores the critical role of blockchain in safeguarding small businesses against digital threats while highlighting opportunities for innovation and growth.

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Section: How Blockchain Enhances Security In Small Businessesmentioning

confidence: 99%

Blockchain for enhancing small business security: A theoretical and practical exploration

Babajide Tolulope Familoni,

Emmanuel Adeyemi Abaku,

Agnes Clare Odimarha

2024

Open Access Research Journal of Multidisciplinary Studies

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“…In [16], the authors identify false data injection attack (FDIA) in the microgrid mechanism, Hilbert-Huang transforms technique, along with BC-related ledger technology, was employed to scale up the security in smart direct current (DC)-microgrids by evaluating the voltage and current signals in controller and smart sensor nodes by deriving signal information. Ajayi et al [17] devised a BCrelated solution that guarantees the consistency and integrity of attack features shared in a cooperative ID mechanism. The modelled structure attains by preventing and identifying compromised intrusion detection system (IDS) nodes and fake feature injection.…”

Section: Related Workmentioning

confidence: 99%

Blockchain Assisted Optimal Machine Learning Based Cyberattack Detection and Classification Scheme

Alohali¹,

Elsadig²,

Al‐Wesabi³

et al. 2023

Computer Systems Science and Engineering

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With recent advancements in information and communication technology, a huge volume of corporate and sensitive user data was shared consistently across the network, making it vulnerable to an attack that may be brought some factors under risk: data availability, confidentiality, and integrity. Intrusion Detection Systems (IDS) were mostly exploited in various networks to help promptly recognize intrusions. Nowadays, blockchain (BC) technology has received much more interest as a means to share data without needing a trusted third person. Therefore, this study designs a new Blockchain Assisted Optimal Machine Learning based Cyberattack Detection and Classification (BAOML-CADC) technique. In the BAOML-CADC technique, the major focus lies in identifying cyberattacks. To do so, the presented BAOML-CADC technique applies a thermal equilibrium algorithm-based feature selection (TEA-FS) method for the optimal choice of features. The BAOML-CADC technique uses an extreme learning machine (ELM) model for cyberattack recognition. In addition, a BC-based integrity verification technique is developed to defend against the misrouting attack, showing the innovation of the work. The experimental validation of BAOML-CADC algorithm is tested on a benchmark cyberattack dataset. The obtained values implied the improved performance of the BAOML-CADC algorithm over other techniques.

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“…Gaps and contributions: Blockchain technology is often organized by linear programming, which allows data communication among the interconnected nodes. However, there is no way to ensure the trustworthiness of the shared data in a cooperative IDS [23]. The existing gap is the lack of learning from different trends in data transmission and malware detection.…”

Section: Machine Learning-based Idsmentioning

confidence: 99%

An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems

Abubakar,

Liu,

Gilliard

2023

Electronics Letters

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Intrusion Detection System (IDS) is a critical cybersecurity task that involves monitoring network traffic for malicious activity and taking appropriate action to stop it. However, insufficient training data or improperly chosen thresholds often limit the accuracy of such systems, resulting in high false‐positive rates. To improve the accuracy of an IDS, blockchain technology can be used as it provides a secure, decentralized, immutable ledger that can track suspicious activity over time and also identify intrusions globally. In this paper, the authors propose a novel methodology to improve the accuracy of blockchain‐based IDS. The approach combines different intrusion detection algorithms using a blockchain‐integrated architecture. It is based on the fusion principle and weighted votes, which the authors used to determine their results. The authors tested the system on DARPA 99 and MIT‐Lincoln Labs datasets using accuracy and false‐positive rate as their two metrics. The system achieved 92.6% accuracy and 7.4% false‐positive rates, indicating that the proposed system significantly increases the accuracy while reducing the false‐positive rate, opening up new opportunities for the development of highly accurate networks.

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Blockchain-Based Architecture for Secured Cyber-Attack Features Exchange

Cited by 13 publications

References 16 publications

Blockchain for enhancing small business security: A theoretical and practical exploration

Blockchain for enhancing small business security: A theoretical and practical exploration

Blockchain Assisted Optimal Machine Learning Based Cyberattack Detection and Classification Scheme

An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems

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