Research Article

API Drift Detection Enhancing Data Protection

by  Anoop Gupta
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Issue 49
Published: November 2024
Authors: Anoop Gupta
10.5120/ijca2024924168
PDF

Anoop Gupta . API Drift Detection Enhancing Data Protection. International Journal of Computer Applications. 186, 49 (November 2024), 47-50. DOI=10.5120/ijca2024924168

                        @article{ 10.5120/ijca2024924168,
                        author  = { Anoop Gupta },
                        title   = { API Drift Detection Enhancing Data Protection },
                        journal = { International Journal of Computer Applications },
                        year    = { 2024 },
                        volume  = { 186 },
                        number  = { 49 },
                        pages   = { 47-50 },
                        doi     = { 10.5120/ijca2024924168 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2024
                        %A Anoop Gupta
                        %T API Drift Detection Enhancing Data Protection%T 
                        %J International Journal of Computer Applications
                        %V 186
                        %N 49
                        %P 47-50
                        %R 10.5120/ijca2024924168
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

The prevalence of data breaches in Application Programming Interfaces (APIs) has been highlighted in a recent Gartner study. The study predicts that APIs will become increasingly vulnerable to data leakage as the volume of data transmitted across organizational boundaries grows. APIs undergo multiple lifecycle phases and are handled by various engineers before they are deployed in production environments, which increases the likelihood of security breaches. This paper provides a comprehensive analysis of how to detect data leakage by identifying API drift and how to address such drift by pinpointing the exact location of the leakage. [1]

References
  • McKinley Sconiers-Hasan, Application Programming Interface (API) Vulnerabilities and Risks, June 2024 https://insights.sei.cmu.edu/documents/5908/api-vulnerabilities-and-risks-2024sr004-1.pdf
  • Gartner Reports, May 2024 https://www.gartner.com/en/documents/5471595
  • Larry Ponemon, State of API Security, 2023 https://ponemonsullivanreport.com/2023/09/state-of-api-security-2023-global-findings/
  • J Stimpson, Most APIs Suffer From Specification Drift, September 2024 https://nordicapis.com/most-apis-suffer-from-specification-drift/
  • API Context, Bad API Specification Management Creates Application Risk and Challenge https://apicontext.com/bad-api-specification-management-creates-application-risks-and-challenges-new-white-paper/
  • APIContext, API Drift https://apicontext.com/resources/api-drift-white-paper/
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

API Security Cybersecurity Data Loss Prevention API Drift API Gateway API Lifecycle API Governance API Discovery

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