Awaludin, Ahmad Zaenal and Lim, Charles and Silaen, Kalpin Erlanggaa (2021) Log Analytics System for Web Attack Detection. Masters thesis, Swiss German University.
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Abstract
In this digitalization era, all activities such as studying, shopping, communication, etc. are carried out online. One of them is to use the media website. A website is very vulnerable to attacks from various groups. There were various reasons or motives for the attack. There are various reasons for this, namely for revenge, politics, or just a show of skill. Behind the ease of access to information on the internet today, there is a big danger that can lurk at any time, namely with various kinds of attacks to try to find weaknesses in the system used. This attack can result in data corruption, data loss, and misuse of data, Etc. Currently there are many web application firewall applications that can be used to protect website applications from attacks, but sometimes there are still attacks that successfully pass through the WAF, so web application damage still often occurs due to these attacks. For that in this study we try to perform analysis of various logs, namely WAF logs, web server logs, network logs, and firewall logs to detect threats or attacks on a web application. :
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Web Attack Detection, Log Analysis, Web Attack Prevention. SQL Injection Detection, XSS Attack Detection, Web Application Firewall |
| Subjects: | T Technology > T Technology (General) > T58.5 Information technology T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105 Web Sites-Design T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105 Web Sites-Design > TK5105.59 Intrusion detection systems (Computer security, Firewalls |
| Divisions: | Faculty of Engineering and Information Technology > Department of Information Technology |
| Depositing User: | Faisal Ifzaldi |
| Date Deposited: | 06 Jan 2022 14:42 |
| Last Modified: | 06 Jan 2022 14:42 |
| URI: | http://repository.sgu.ac.id/id/eprint/2286 |
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