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All Journal Jurnal Ilmiah Informatika Komputer Prosiding KOMMIT Jurnal Pekommas The Asian Journal of Technology Management (AJTM) Jurnal Ilmiah KOMPUTASI ILKOM Jurnal Ilmiah Aptisi Transactions on Technopreneurship (ATT) Journal Psikogenesis Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE)
Avinanta Tarigan Avinanta Tarigan
Universitas Gunadarma
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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Journal : Jurnal Pekommas

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Modeling of HTTP Request with Regular Expression for Slow HTTP DoS Attack Detection nfn Ramlan; Avinanta Tarigan
Jurnal Pekommas Vol 4, No 1 (2019): April 2019
Publisher : BBPSDMP KOMINFO MAKASSAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1647.211 KB) | DOI: 10.30818/jpkm.2019.2040104

Abstract

The availability of Web Service is the most important thing to be guaranteed, but there are many threats to the Web Service particularly from the internet, one of the famous methods is Slow HTTP DoS Attack. There are many research projects about this topic before, but there is always the possibility to increase the accuracy rate and minimizing the False Positive Rate and should be considered to use it at the small and medium scale of network infrastructure. In this research, another IDS method was used to find a better result for Slow HTTP DoS Attack detection through modeling HTTP Request based on Regular Expression. Detection patterns made from HTTP Request Traffic of some popular Web Browsers then looked for the similarity of the HTTP Request Traffic using Needleman Wunsch algorithm. This pattern was negated at the important part of HTTP Request headers, then converted to Regular Expression. New Pattern in Regular Expression was inserted to the L7-Filter that part of Netfilter. This method has been proved to detect Slow HTTP DoS Attack with 100% accuracy and False Positive Rate 0%.
Co-Authors Achmad Benny Mutiara Betta Wahyu Retna Mulya D. Lucia Crispina Pardede Hanum Putri Permatasari Herry Sussanto Intaglia Harsanti Konradus, Natalia Lely Prananingrum M. Noor Rochman Hadjam Muhammad Fadhil Abidin nfn Ramlan Oktiana, Milda Safrila Ravi Dharmawan Ravi Dharmawan Retna Mulya, Betta Wahyu Riya Widayanti Setyawan, Aris Budi Siswadi, Anneke Annassia Putri