Affiliation:
1. B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, Tamil Nadu, India.
Abstract
The integration of blockchain technology with cloud computing to establish a more secure and transparent Intrusion prevention mechanism. The limitations of traditional Intrusion prevention methods, including security, transparency, and scalability challenges. Blockchain technology has emerged as a promising solution to enhance Intrusion prevention and permissions in a tamper-proof and transparent ledger in cloud computing environments. Blockchain technology has the potential to revolutionize Intrusion prevention in cloud computing by providing a more secure, transparent, and scalable framework. Scalability is an issue since processing many Intrusion prevention transactions on the blockchain might cause network congestion and sluggish processing. Transactions take time to upload to the blockchain, which can delay realtime access choices. It takes skill to integrate and manage blockchain and cloud technologies together. Choosing the correct consensus mechanism affects system efficiency and security. Consider the costs of establishing and maintaining such a system and the difficulty of fixing faults owing to blockchain immutability. In this paper we highlighted the importance of Intrusion prevention in cloud computing, emphasizing the need for secure and transparent management of sensitive data and resources. It also underscores the limitations of traditional Intrusion prevention methods, which can lead to security breaches and unauthorized access. In conclusion, this paper presents a compelling argument for the integration of blockchain technology with cloud computing to establish a more secure and transparent Intrusion prevention mechanism. Keywords: Blockchain, Cloud Computing, Intrusion Prevention, Scalability, immutability
Reference19 articles.
1. Sahai, A.; Waters, B. Fuzzy identity-based encryption. In Proceedings of the Advances in Cryptology—EUROCRYPT 2005: 24th Annual International Conference on the Theory and Applications of Cryptographic Techniques, Aarhus, Denmark, 22–26 May 2005; Springer: Berlin/Heidelberg, Germany, 2005; pp. 457–473.
2. Goyal, V.; Pandey, O.; Sahai, A.; Waters, B. Attribute-based encryption for fine-grained access control of encrypted data. In Proceedings of the 13th ACM Conference on Computer and Communications Security, Alexandria, VA, USA, 30 October–3 November 2006; pp. 89–98.
3. Waters, B. Ciphertext-policy attribute-based encryption: An expressive, efficient, and provably secure realization. In Proceedings of the International Workshop on Public Key Cryptography, Taormina, Italy, 6–9 March 2011; Springer: Berlin/Heidelberg, Germany, 2011; pp. 53–70.
4. O.Ali,A.Jaradat,A.Kulakli,andA.Abuhalimeh, “Comparative study: Blockchain technology utilization benefits, challenges, and functionalities,” Ieee Access, vol. 9, pp. 12730- 12749, 2021.
5. A.Gupta,S.T.Siddiqui,S.Alam,andM.Shuaib, “Cloud computing security using blockchain,” JournalofEmergingTechnologiesandInnovative Research (JETIR),vol.6,no.6,pp.791-794,2019.