Web Application Security Education Platform Based on OWASP API Security Project

Author:

Idris Muhammad,Syarif Iwan,Winarno Idris

Abstract

The trend of API-based systems in web applications in the last few years keeps steadily growing. API allows web applications to interact with external systems to enable business-to-business or system-to-system integration which leads to multiple application innovations.  However, this trend also comes with a different surface of security problems that can harm not only web applications, but also mobile and IoT applications.  This research proposed a web application security education platform which is focused on the OWASP API security project. This platform provides different security risks such as excessive data exposure, lack of resources and rate-limiting, mass assignment, and improper asset management which cannot be found in monolithic security learning application like DVWA, WebGoat, and Multillidae II. The development also applies several methodologies such as Capture-The-Flag (CTF) learning model, vulnerability assessment, and container virtualization. Based on our experiment, we are successfully providing 10 API vulnerability challenges to the platform with 3 different levels of severity risk rating which can be exploited using tools like Burp Suite, SQLMap, and JWTCat.  In the end, based on our performance experiment, all of the containers on the platform can be deployed in approximately 16 seconds with minimum storage resource and able to serve up to 1000 concurrent users with the average throughput of 50.58 requests per second, 96.35% successful requests, and 15.94s response time.

Publisher

EMITTER International Journal of Engineering Technology

Subject

General Medicine

Reference26 articles.

1. 2021 State of the API Report [Internet], Postman, 2021 [cited 23 March 2022], Available from: https://www.postman.com/state-of-api/.

2. API Security Trends [Internet], Salt.security, 2021 [cited 23 November 2021], Available from: https://salt.security/api-security-trends.

3. Hussain F, Hussain R, Noye B, Sharieh S. Enterprise API Security, and GDPR Compliance: Design and Implementation Perspective. IT Professional, vol. 22, no. 5, pp. 81-89, 2020.

4. UU No. 19 Tahun 2016 [Internet], Kominfo, 2022 [cited 23 March 2022], Available from: https://web.kominfo.go.id.

5. Conte de Leon D, Goes CE, Haney MA, Krings AW. Adles: Specifying, deploying, and sharing hands-on cyber-exercises. Computers & Security, vol. 74, pp. 12–40, 2018.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3