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- W2017759538 abstract "Web applications became most popular medium in the Internet. Popularity, easiness of web application frameworkstogether with careless development results in high number of vulnerabilities and attacks. There are several types ofattacks possible because of improper input validation. SQL injection is ability to execute arbitrary SQL queries in adatabase through an existing application. Cross-site scripting is the vulnerability which allows malicious web users toinject code into the web pages viewed by other users. Cross-Site Request Forgery (CSRF) is an attack that tricks thevictim into loading a page that contains malicious request. Web spam in blogs.In order to secure web applications intrusion detection (IDS) and intrusion prevention systems (IPS) are beingused. Intrusion detection systems are divided in two groups: misuse detection (traditional IDS) and anomaly detection.Misuse detection systems are signature based, have high accuracy in detecting many kinds of known attacks but cannotdetect unknown and emerging attacks. This can be complemented with anomaly based intrusion detection andprevention systems. This paper presents anomaly driven proxy as an IPS and data mining based algorithm which wasused to detecting anomalies. The principle of this method is the comparison of the incoming HTTP traffic with apreviously built profile that contains a representation of the normal or expected web application usage sequencepatterns. The frequent sequence patterns are found with GSP algorithm. Some basic tests show that the software catchesmalicious requests." @default.
- W2017759538 created "2016-06-24" @default.
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- W2017759538 date "2009-06-14" @default.
- W2017759538 modified "2023-09-23" @default.
- W2017759538 title "Ultrabroadband photonic Internet: data mining approach to security aspects" @default.
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- W2017759538 doi "https://doi.org/10.1117/12.838261" @default.
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