Web Application Attack Detection and Forensics: A Survey


6th International Symposium on Digital Forensic and Security (ISDFS), Antalya, Turkey, 22 - 25 March 2018, pp.344-349 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/isdfs.2018.8355378
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.344-349
  • Keywords: Web application attacks, Digital forensics, Data mining, Web application attack detectionl, Web application forensics, INJECTION
  • Anadolu University Affiliated: Yes


Web application attacks are an increasingly important area in information security and digital forensics. It has been observed that attackers are developing the capability to bypass security controls and launch a large number of sophisticated attacks. Several attempts have been made to address these attacks using a wide range of technology and one of the greatest challenges is responding to new and unknown attacks in an effective way. This study aims to investigate the techniques and solutions used to detect attacks, such as firewalls, intrusion detection systems, honeypots and forensic techniques. Data mining and machine learning techniques, which attempt to address traditional technology shortcomings and produce more effective solutions, are also investigated. It was aimed to contribute to this growing area of research by exploring more intelligent and convenient techniques for web application attack detection by focusing on the data mining techniques in forensics.