Detection of recurring vulnerabilities in computing services. (19th May 2022)

• Record Type: Journal Article
• Authors: Kumar, Sarvesh; Dubey, Kamlesh Kumar; Gautam, Arun Kumar; Verma, Shikha; Kumar, Vinay; Mamodiya, Udit
• Is Part Of: Journal of discrete mathematical sciences & cryptography. Volume 25:Number 4(2022)
• Page Start: 1063
• Page End: 1071
• Publication Date: 2022-05-19
• Subjects: Primary 93A30 -- Secondary 49K15; High-performance GPS security -- Cloud security organizations -- Computing security parameters -- Secure management -- Location privacy -- Cloud security simulation; Computer science -- Mathematics -- Periodicals; Cryptography -- Periodicals; Computer science -- Mathematics; Cryptography; Periodicals; 004.0151
• DOI: 10.1080/09720529.2022.2072432
• Languages: English
• ISSNs: 0972-0529

Abstract

Abstract: In real time the open-source formulation and their effects are becoming highly enhanced for the development of applications. Security is the major area of technology to detect vulnerabilities. Mutual detection is time taking and very tough which is not feasible. There are a lot of techniques for the detection of vulnerabilities. In this research work we have developed the hybrid approach for the detection. We are using a huge software system. Our approach is based on the token formulation and fingerprint-based detection of errors. The tool we are designing is able to detect and patch the security related threats. We have also compared our approach with the existing approach and the performance and efficiency of our tool is much better than others.