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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62929
Volume:
10 |
5 |
May 2026
Pages:
1-11
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Artificial Inteliigence and Data Science
Shri Balaji Institute of Technology & Management, Betul
Artificial Inteliigence and Data Science
Shri Balaji Institute of Technology & Management, Betul
Artificial Inteliigence and Data Science
Shri Balaji Institute of Technology & Management, Betul
In the modern digital era, the exponential growth of data and the increasing number of cyber threats have made data security a critical concern for individuals and organizations alike. Traditional storage systems often fail to provide robust protection against unauthorized access, data breaches, and cyber-attacks. This research paper presents the design and implementation of “Cyber Vault,” a secure digital storage system that ensures the confidentiality, integrity, and availability of sensitive user data. The proposed system utilizes advanced encryption techniques, such as the Advanced Encryption Standard (AES), to safeguard stored information. In addition, multi-factor authentication mechanisms are integrated to enhance access control and prevent unauthorized usage. The system architecture is designed to provide a layered security approach, combining user authentication, data encryption, and intrusion detection modules. Furthermore, the Cyber Vault incorporates real-time monitoring features to detect suspicious activities and alert users in case of potential threats. The implementation of the system is carried out using modern web technologies, ensuring a user-friendly interface along with high-level security. Experimental results demonstrate that the proposed system significantly improves data protection compared to conventional storage methods while maintaining efficient performance. The Cyber Vault offers a scalable and reliable solution for secure data management and can be further enhanced by integrating emerging technologies such as artificial intelligence and blockchain.
KEYWORDS
In this research paper, the design and implementation of the “Cyber Vault” system have been presented as a comprehensive solution for modern cybersecurity challenges. The system successfully integrates multiple security functionalities, including password strength analysis, file verification, encryption and decryption, URL scanning, password generation, and phishing detection, into a single unified platform. The primary objective of the proposed system was to enhance data security and provide users with a reliable and efficient tool to protect their digital information. The implementation of advanced encryption techniques such as AES and RSA ensures data confidentiality, while the inclusion of authentication mechanisms and security tools strengthens protection against unauthorized access and cyber threats. The results obtained from system testing demonstrate that the Cyber Vault performs effectively across all modules. It is capable of identifying weak passwords, detecting malicious files and URLs, and preventing phishing attacks with a high level of accuracy. Additionally, the system provides a user-friendly interface, making it accessible to both technical and non-technical users. Compared to traditional security solutions that focus on a single aspect of cybersecurity, the Cyber Vault offers a more holistic approach by combining multiple security features into one platform. This integration improves usability, efficiency, and overall system effectiveness. However, certain limitations exist, such as dependency on predefined rules for threat detection and limited capability in identifying highly sophisticated attacks. These limitations provide opportunities for future enhancements. In conclusion, the Cyber Vault system proves to be a secure, efficient, and scalable solution for protecting sensitive data and enhancing user awareness about cybersecurity. It lays a strong foundation for the development of more advanced and intelligent security systems in the future.
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Publication Date
5/10/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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