Advanced Search
Volume 45 Issue 1
Jan.  2023
Turn off MathJax
Article Contents
CHEN Zhen, QI Wenchao, HE Pengfei, LIU Linlin, SHEN Limin. A Survey for Cloud Application Programming Interface Security: Threats and Protection[J]. Journal of Electronics & Information Technology, 2023, 45(1): 371-382. doi: 10.11999/JEIT211185
Citation: CHEN Zhen, QI Wenchao, HE Pengfei, LIU Linlin, SHEN Limin. A Survey for Cloud Application Programming Interface Security: Threats and Protection[J]. Journal of Electronics & Information Technology, 2023, 45(1): 371-382. doi: 10.11999/JEIT211185

A Survey for Cloud Application Programming Interface Security: Threats and Protection

doi: 10.11999/JEIT211185
Funds:  The National Natural Science Foundation of China (62102348, 61772450), The Natural Science Foundation of Hebei Province (F2019203287), The Science and Technology Research Project of Hebei University (QN2020183)
  • Received Date: 2021-10-28
  • Rev Recd Date: 2022-04-29
  • Available Online: 2022-05-08
  • Publish Date: 2023-01-17
  • In the cloud era, cloud Application Programming Interface (API) is the best carrier for service delivery, capability replication and data output. However, cloud API increases the exposure and attack surface of cloud application while opening up services and data. Through data hijacking, traffic analysis and other technologies, attackers can obtain the key resources of the target cloud API, so as to identify the identity and behavior of users, or even directly cause the paralysis of the underlying system. Currently, there are many types of attacks against cloud APIs, and their threats and protection methods are different. However, the existing researches lack a systematic summary for cloud API attack and protection methods. In this paper, a detail survey on the threats and protection methods faced by cloud API is conducted. Firstly, the evolution and the classification of cloud API are analyzed. The vulnerability of cloud API and the importance of cloud API security research are then discussed. Furthermore, a systematical cloud API security research framework is proposed, which covers six aspects: identity authentication, cloud API Distributed Denial of Service (DDoS) attack protection, replay attack protection, Man-In-The-Middle (MITM) attack protection, injection attack protection and sensitive data protection. In addition, the necessity of Artificial Intelligence (AI) protection for cloud API is discussed. Finally, the future challenges and development trends of cloud API protection are presented.
  • loading
  • [1]
    艾瑞咨询有限公司. 2020年中国人工智能API经济白皮书[R]. 艾瑞咨询系列研究报告, 2020.

    IResearch Consulting Croup. White paper on API economy of China's artificial intelligence[R]. IResearch Consulting Series Research Reports, 2020.
    [2]
    TAN Wei, FAN Yushun, GHONEIM A, et al. From the service-oriented architecture to the Web API economy[J]. IEEE Internet Computing, 2016, 20(4): 64–68. doi: 10.1109/MIC.2016.74
    [3]
    ESPINHA T, ZAIDMAN A, and GROSS H G. Web API growing pains: Loosely coupled yet strongly tied[J]. Journal of Systems and Software, 2015, 100: 27–43. doi: 10.1016/j.jss.2014.10.014
    [4]
    BOUGUETTAYA A, SINGH M, HUHNS M, et al. A service computing manifesto: The next 10 years[J]. Communications of the ACM, 2017, 60(4): 64–72. doi: 10.1145/2983528
    [5]
    HUSSAIN F, HUSSAIN R, NOYE B, et al. Enterprise API security and GDPR compliance: Design and implementation perspective[J]. IT Professional, 2020, 22(5): 81–89. doi: 10.1109/MITP.2020.2973852
    [6]
    ARCURI A, FRASER G, and JUST R. Private API access and functional mocking in automated unit test generation[C]. 2017 IEEE International Conference on Software Testing, Verification and Validation, Tokyo, Japan, 2017: 126–137.
    [7]
    OWASP. OWASP top ten 2017[EB/OL]. https://www.owasp.org/index.php/Top_10-2017_Top_10, 2017.
    [8]
    BOZKURT M, HARMAN M, and HASSOUN Y. Testing Web services: A survey[R]. Technical Reports TR-10-01, 2010.
    [9]
    ESPINHA T, ZAIDMAN A, and GROSS H G. Web API fragility: How robust is your mobile application?[C]. The 2nd ACM International Conference on Mobile Software Engineering and Systems, Florence, Italy, 2015: 12–21.
    [10]
    刘奇旭, 邱凯丽, 王乙文, 等. 面向OAuth2.0授权服务API的账号劫持攻击威胁检测[J]. 通信学报, 2019, 40(6): 40–50. doi: 10.11959/j.issn.1000-436x.2019144

    LIU Qixu, QIU Kaili, WANG Yiwen, et al. Account hijacking threat attack detection for OAuth2.0 authorization API[J]. Journal on Communications, 2019, 40(6): 40–50. doi: 10.11959/j.issn.1000-436x.2019144
    [11]
    DIG D and JOHNSON R. How do APIs evolve? A story of refactoring[J]. Journal of Software Maintenance and Evolution:Research and Practice, 2006, 18(2): 83–107. doi: 10.1002/smr.328
    [12]
    SETIADI D R I M, NAJIB A F, RACHMAWANTO E H, et al. A comparative study MD5 and SHA1 algorithms to encrypt REST API authentication on mobile-based application[C]. 2019 International Conference on Information and Communications Technology, Yogyakarta, Indonesia, 2019: 206–211.
    [13]
    SKLAVOS N and KOUFOPAVLOU O. Implementation of the SHA-2 hash family standard using FPGAs[J]. The Journal of Supercomputing, 2005, 31(3): 227–248. doi: 10.1007/s11227-005-0086-5
    [14]
    GORSKI P L, ACAR Y, IACONO L L, et al. Listen to developers! A participatory design study on security warnings for cryptographic APIs[C]. The 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, USA, 2020: 1–13.
    [15]
    Angular University. JWT: The complete guide to JSON web tokens[EB/OL]. https://blog.angular-university.io/angular-jwt/, 2022.
    [16]
    KARUNANITHI M D and KIRUTHIKA B. Single sign-on and single log out in identity[C]. The International Conference on Nanoscience, Engineering and Technology, Chennai, India, 2011: 607–611.
    [17]
    FUJII H and TSURUOKA Y. SV-2FA: Two-factor user authentication with SMS and voiceprint challenge response[C]. The 8th International Conference for Internet Technology and Secured Transactions, London, UK, 2013: 283–287.
    [18]
    VAN OORSCHOT P C. Computer Security and the Internet: Tools and Jewels[M]. Cham: Springer, 2020: 1–25.
    [19]
    NOKOVIC B, DJOSIC N, and LI W O. API security risk assessment based on dynamic ML models[C]. The 14th International Conference on Innovations in Information Technology, Al Ain, United Arab Emirates, 2020: 247–252.
    [20]
    BERA P, SAHA A, and SETUA S K. Denial of service attack in software defined network[C]. The 5th International Conference on Computer Science and Network Technology, Changchun, China, 2016: 497–501.
    [21]
    DE B. API Management[M]. Berkeley: Apress, 2017: 15–28.
    [22]
    IMPERVA. Bot defense for API security data sheet[EB/OL]. https://resources.distilnetworks.com/data-sheets/bot-defense-for-apis, 2018.
    [23]
    NETACEA. Bot detection and mitigation with machine learning[EB/OL]. https://www.netacea.com/bot-detection, 2018.
    [24]
    HARGUINDEGUY B. Artificial intelligence and machine learning: A new approach to API security[EB/OL]. https://www.pingidentity.com/en/company/blog/posts/2018/artificial-intelligence-machine-learning-a-new-approach-to-api-Security.html, 2018.
    [25]
    ZHU Minghui and MARTÍNEZ S. On the performance analysis of resilient networked control systems under replay attacks[J]. IEEE Transactions on Automatic Control, 2014, 59(3): 804–808. doi: 10.1109/TAC.2013.2279896
    [26]
    GRUSCHKA N and LUTTENBERGER N. Protecting web services from DoS attacks by SOAP message validation[C]. The IFIP TC-11 21st International Information Security Conference, Karlstad, Sweden, 2006: 171–182.
    [27]
    JENSEN M, GRUSCHKA N, and HERKENHöNER R. A survey of attacks on web services[J]. Computer Science-Research and Development, 2009, 24(4): 185–197. doi: 10.1007/s00450-009-0092-6
    [28]
    DE RYCK P, DESMET L, PIESSENS F, et al. Primer on client-side web security[M]. Cham: Springer, 2014: 105–109.
    [29]
    肖斌斌, 徐雨明. 基于双重验证的抗重放攻击方案[J]. 计算机工程, 2017, 43(5): 115–120,128. doi: 10.3969/j.issn.1000-3428.2017.05.019

    XIAO Binbin and XU Yuming. Scheme of anti-replay attacks based on two-factor authentication[J]. Computer Engineering, 2017, 43(5): 115–120,128. doi: 10.3969/j.issn.1000-3428.2017.05.019
    [30]
    王育红, 夏安祥, 林国庆, 等. 抗重放攻击方案在工程中的应用[J]. 网络安全技术与应用, 2021(4): 8–10. doi: 10.3969/j.issn.1009-6833.2021.04.006

    WANG Yuhong, XIA Anxiang, LIN Guoqing, et al. Application of anti-replay attack scheme in engineering[J]. Network Security Technology &Application, 2021(4): 8–10. doi: 10.3969/j.issn.1009-6833.2021.04.006
    [31]
    CONTI M, DRAGONI N, and LESYK V. A survey of man in the middle attacks[J]. IEEE Communications Surveys & Tutorials, 2016, 18(3): 2027–2051. doi: 10.1109/COMST.2016.2548426
    [32]
    NAQASH T, UBAID F B, ISHFAQ A, et al. Protecting DNS from cache poisoning attack by using secure proxy[C]. 2012 International Conference on Emerging Technologies, Islamabad, Pakistan, 2012: 1–5.
    [33]
    BRUSCHI D, ORNAGHI A, and ROSTI E. S-ARP: A secure address resolution protocol[C]. The 19th Annual Computer Security Applications Conference, Las Vegas, USA, 2003: 66–74.
    [34]
    LOOTAH W, ENCK W, and MCDANIEL P. TARP: Ticket-based address resolution protocol[J]. Computer Networks, 2007, 51(15): 4322–4337. doi: 10.1016/j.comnet.2007.05.007
    [35]
    TRABELSI Z and EL-HAJJ W. Preventing ARP attacks using a fuzzy-based stateful ARP cache[C]. 2007 IEEE International Conference on Communications, Glasgow, UK, 2007: 1355–1360.
    [36]
    KALES D, OMOLOLA O, and RAMACHER S. Revisiting user privacy for certificate transparency[C]. 2019 IEEE European Symposium on Security and Privacy, Stockholm, Sweden, 2019.
    [37]
    SOGHOIAN C and STAMM S. Certified lies: Detecting and defeating government interception attacks against SSL (short paper)[C]. The 15th International Conference on Financial Cryptography and Data Security, Gros Islet, St. Lucia, 2011: 250–259.
    [38]
    LIMMANEEWICHID P and LILAKIATSAKUN W. P-ARP: A novel enhanced authentication scheme for securing ARP[C]. The 2011 International Conference on Telecommunication Technology and Applications, Singapore, Singapore, 2011: 83–87.
    [39]
    ATAULLAH M and CHAUHAN N. ES-ARP: An efficient and secure address resolution protocol[C]. 2012 IEEE Students' Conference on Electrical, Electronics and Computer Science, Bhopal, India, 2012: 1–5.
    [40]
    ARIYAPPERUMA S and MITCHELL C J. Security vulnerabilities in DNS and DNSSEC[C]. The 2rd International Conference on Availability, Reliability and Security, Vienna, Austria, 2007: 335–342.
    [41]
    KINGTHORIN. OWASP SQL injection[EB/OL]. https://owasp.org/www-community/attacks/SQL_Injection#, 2021.
    [42]
    ZHONG Weilin and REZOS. Code injection software attack[EB/OL]. https://owasp.org/www-community/attacks/Code_Injection, 2021.
    [43]
    RAJARAM A K, BABU B C, and KUMAR R C K. API based security solutions for communication among web services[C]. The 15th International Conference on Advanced Computing, Chennai, India, 2013: 571–575.
    [44]
    YANG Dawei, GAO Yang, HE Wei, et al. Design and achievement of security mechanism of API gateway platform based on microservice architecture[J]. Journal of Physics:Conference Series, 2021, 1738: 012046. doi: 10.1088/1742-6596/1738/1/012046
    [45]
    ATLIDAKIS V, GODEFROID P, and POLISHCHUK M. Checking security properties of cloud service REST APIs[C]. The 13th International Conference on Software Testing, Validation and Verification, Porto, Portugal, 2020: 387–397.
    [46]
    MENG Shanshan, YANG Xiaohui, SONG Yubo, et al. Android’s sensitive data leakage detection based on API monitoring[C]. The International Conference on Cyberspace Technology, Beijing, China, 2014: 1–4.
    [47]
    PANETTA K. Gartner top 10 strategic technology for 2020[EB/OL]. https://www.gartner.com, 2020.
    [48]
    GRENT H, AKIMOV A, and ANICHE M. Automatically identifying parameter constraints in complex Web APIs: A case study at Adyen[C]. The IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice, Madrid, ES, 2021: 71–80.
    [49]
    KROMKOWSKI P, LI Shaoran, ZHAO Wenxi, et al. Evaluating statistical models for network traffic anomaly detection[C]. 2019 Systems and Information Engineering Design Symposium, Charlottesville, USA, 2019: 1–6.
    [50]
    BAYE G, HUSSAIN F, ORACEVIC A, et al. API security in large enterprises: Leveraging machine learning for anomaly detection[C]. 2021 International Symposium on Networks, Computers and Communications, Dubai, United Arab Emirates, 2021: 1–6.
    [51]
    SHI Yi, SAGDUYU Y E, DAVASLIOGLU K, et al. Active deep learning attacks under strict rate limitations for online API calls[C]. 2018 IEEE International Symposium on Technologies for Homeland Security, Woburn, USA, 2018: 1–6.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(5)  / Tables(4)

    Article Metrics

    Article views (1139) PDF downloads(204) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return