Jul 2026· International Conference Computing Methodologies and Communication· pp. 219-226· 0 citations· 22 references
Abstract
In the digital era, the prevalence of cyber threats within cloud-based infrastructures presents a formidable challenge. This study introduces a novel approach that combines the immutable nature of blockchain technology with advanced detection mechanisms to enhance the security of cloud environments. We propose a model that leverages the synergy of blockchain's distributed ledger capabilities and cutting-edge intrusion detection systems (IDS) to establish a dynamic and decentralized framework for cyber-attack detection and prevention. Our innovative method involves a multi-layered detection algorithm that operates in conjunction with a blockchain network to make sure the data integrity and veracity of application transmissions. With integration, the proposed system not only detects but also systematically records cyber attack patterns, thereby creating a robust database of digital signatures that can be used for future prevention measures. This proactive approach ensures a swift and secure method of identifying potential threats, which will significantly reduce the risk of data breaches along with system infiltrations. The implementation of this method is anticipated to provide a reliable and transparent mechanism for safeguarding sensitive information stored within cloud services. It advances cybersecurity, protecting service providers and end-users from changing cyber threats.
Overall, this review demonstrates that blockchain-based cybersecurity frameworks provide a secure, transparent, and resilient foundation for protecting smart digital environments against increasingly sophisticated cyber threats while supporting trustworthy and scalable digital transformation.
M. Kayla, Crispinus Ode, Marion Sanaipei· The Eastasouth Journal of In...· 0 citations
Secure and transparent system for recording and verifying digital transactions across distributed networks. Distributed blockchain consensus is achieved through decentralized protocol rules, cryptographic authentication mechanisms, and scalable energy-efficient operations. The present study applies Quantum Mayfly Optimization (QMFO) within a blockchain-based collaborative intrusion detection framework. Collaborative intrusion detection systems (CIDS) have certainly carved their valued place in enhancing modern cybersecurity in the complex landscape of cyber threats. What the BCIDF brings into the picture is a new radical avenue to enhance the detection of new threats and information sharing. In this respect, the proposal cohesively combines distributed blockchain technology and collaborative intrusion detection to increase security, transparency, and trust within cyber realms. Fine-tuning the model parameters will improve blockchain classification accuracy and efficiency, and O(QMFO), a bio-inspired hybrid algorithm inspired by the principles of quantum leaf-edge swarm behavior, is directed toward ensuring the security and performance of blockchain networks. Quantum Mayfly optimization (QMFO) and a Blockchain-based Collaborative Intrusion Detection Framework (BCIDF) are designed to secure distributed networks by allowing tamper-resistant sharing of alerts in the case of an attack across the blockchain. The term 'Quantum Mayfly Optimizer (QMFO)' here is used to amplify performance, speed, and accuracy. Integration, therefore, guarantees the best detection and few false positives, and ensures adaptive actions against upcoming threats.
M. Savitha, I. P. Stella Mary, A.Manikandan et al.· 2026 6th International Confe...· 0 citations
Cloud storage systems have turned out to be a mandatory factor in handling and storage of high amounts of sensitive data in contemporary online surroundings. Nevertheless, they are becoming more vulnerable to high risks in security matters like information breaches, unauthorized access, insider threats, and advanced cyberattacks. The security mechanisms that have been used in the past are not always adequate to offer all-time protection against these emerging threats. In order to overcome these shortcomings, this paper offers a secure cloud storage architecture incorporating Blockchain technology and threat detection with Artificial Intelligence (AI) technology. To guarantee the integrity of the data in a decentralized and tamper-resistant manner, blockchain provides a secure storage of file hashes and the records of transactions, which cannot be subjected to any alterations. At the same time, a threat detection engine based on AI will constantly keep track of user actions and access patterns to detect anomalies and malicious actions in real-time. The hybrid solution proposed improves the security, transparency, and reliability of data as well as allows proactive mitigation of threats. Experimental analysis has shown that Blockchain and AI integration can considerably enhance the overall security posture of cloud storage systems with regard to traditional approaches.
Sivabharathi S, V. M, Thirisha B et al.· 2026 7th International Confe...· 0 citations
A secure cloud computing scheme based on blockchain technology and DL based intrusion detection with the purpose to realize privacy-preserving cloud data management and may yield promising results in security cloud infrastructures for healthcare, and financial system as well as more intelligent enterprise(ies) in general.
Soujenya.voggu, Devarapu Shiva Prasad, Pasam Ramu et al.· International journal of com...· 0 citations
A distributed intrusion detection framework that integrates blockchain technology with Multi-Agent Reinforcement Learning (MARL) for enhanced blockchain security, transparency, and decentralization and establishes an emerging practice of intelligent distributed intrusion detection in emerging cybersecurity architectures.
Mohammed Zakariah, Fatma S. Alrayes, Mohammed K. Alzaylaee et al.· Cluster Computing· 0 citations
The smart grid systems are increasingly becoming digital where the system is taking a new direction into greater operational efficiency and real time energy management. The increased number of Internet of Things (IoT) devices and communication networks has widened the area of attack as well, thus smart grids are vulnerable to more sophisticated cyber attacks like false data injection, denial-of-data manipulation and service attacks. The traditional centralized security controls are not sufficient because of the limitation of single point failure, scalability limitations, and demand decentralized and resilient security controls. The use of blockchain technology in this regard has become a potential solution in order to improve the level of security by utilizing the transparent, decentralized, and immutable features of the technology. To provide cybersecurity approaches of smart grid systems, a taxonomical structure of blockchain technology is proposed in this paper. Besides that it shows the categorization of the various techniques into secure data management, secure energy trading, device authentication, data integrity assurance and communication protection. A detailed analysis of existing works was undertaken to determine their efficiency based on the security, scale and complexity of implementation. The results of the review describe some of the major challenges, such as latency and energy overhead and provide future research opportunities on effective smart grid security frameworks.
F. Basheer, Hari Gobind Pathak, Meena Malik et al.· International Conference on...· 0 citations