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| Главный автор: | |
|---|---|
| Формат: | Recurso digital |
| Язык: | |
| Опубликовано: |
Zenodo
2026
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| Online-ссылка: | https://doi.org/10.5281/zenodo.19423162 |
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Оглавление:
- <p>The rapid digitization of modern society has significantly increased the dependency on <br>interconnected systems, cloud computing, and Internet of Things (IoT) devices. While these <br>advancements have enhanced efficiency and accessibility, they have also introduced new <br>vulnerabilities and expanded the attack surface for cyber threats. Cybersecurity incidents <br>such as ransomware attacks, phishing schemes, and data breaches have become <br>increasingly sophisticated, targeting both individuals and organizations across the globe. <br>Traditional ways of keeping our computers and networks safe have a big problem. They rely <br>too much on one central point, which can be a weak spot. If someone bad gets into this one <br>spot, they can mess with the whole system. Also, these old ways of doing things can't handle <br>the huge amount of data that's being made all the time. This means it takes too long to find <br>and stop threats, which can cause big problems. <br>Artificial Intelligence (AI) has emerged as a powerful tool in cybersecurity due to its ability <br>to analyze large datasets, detect patterns, and identify anomalies. Machine learning <br>algorithms can continuously learn from new data, enabling proactive threat detection and <br>adaptive defense mechanisms. However, AI-based systems alone face challenges such as <br>data integrity issues and lack of transparency in decision-making processes. <br>Blockchain technology provides a solution to these problems by offering a decentralized <br>and secure way to store data. This is achieved through a distributed ledger, which ensures <br>that data is transparent, intact, and tamper-proof. When a transaction is made, it is verified <br>by a consensus mechanism, making it extremely difficult for someone to manipulate the <br>system without being detected. This helps to maintain the integrity and trustworthiness of <br>the data, which is a key aspect of what makes blockchain technology so valuable. By <br>utilizing a decentralized system, blockchain technology can help prevent fraud and errors, <br>and ensure that data is handled in a fair and transparent manner. As a result, the use of <br>blockchain technology can help establish trust and confidence in the way that data is stored <br>and handled, which is essential for a wide range of applications. Furthermore, the <br>decentralized nature of blockchain technology allows for a more secure and reliable way of <br>storing and transmitting data, which can help to build trust and confidence among users. <br>Overall, the benefits of blockchain technology make it an attractive solution for anyone <br>looking to store and handle data in a secure and transparent way. <br>When you combine artificial intelligence and blockchain, you get a powerful cybersecurity <br>system. Artificial intelligence can detect threats as they happen, and blockchain keeps data <br>safe by making it impossible to alter or erase. This fusion of technologies offers a complete <br>solution to fight off cyber threats. By working together, AI and blockchain create a strong <br>defense against attacks, giving us a secure way to store and manage data. This is a big step <br>forward in keeping our information safe. <br>Research Objectives <br>• To design an AI-driven intrusion detection system <br>• To integrate blockchain for secure data logging <br>• To improve real-time threat detection accuracy <br>• To eliminate single points of failure <br>Research Contributions <br>1. Proposed hybrid AI-blockchain architecture <br>2. Enhanced anomaly detection model <br>3. Secure decentralized logging mechanism <br>4. Performance evaluation with comparative analysis </p>