Garuda - Garba Rujukan Digital

Hargyo Tri Nugroho

Universitas Multimedia Nusantara

Author-ID : 3449323

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Articles

Naïve Bayes Anomaly Detection System Design On Openflow Network Nehemia Edbertus; Samuel Hutagalung; Hargyo Tri Nugroho
IJNMT (International Journal of New Media Technology) Vol 6 No 2 (2019): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

One of the generally launched attacks is Distributed Denial of Service that renders its target unable to provide its service. Gaussian Naïve Bayes Classifier is one out of several techniques used in detecting those attacks by classifying network traffic in a window as an attack or a normal traffic based on normal distribution previously calculated from normal and attack traffic datasets. This research focuses on mitigating SYN Flood Type DDoS attacks on OpenFlow Network using Zodiac FX as a switch. The developed system utilizes OpenFlow Protocol to apply flow rule in switch’s flow table in order to detect and mitigate SYN Flood attacks in real-time. Applied mitigation procedure is to divert incoming packets into SYN Proxy so that only legitimate TCP packets are able to reach the server. The results show that the system has a bandwidth of up to 60Mbps under normal condition and 5,03Mbps under attack. Maximum malicious packets that could reach server before it is diverted to SYN Proxy is estimated to be 400 packets and not affected by the number of attacks, assuming that the flow rule sent by the controller are enacted immediately.

Analisis dan Implementasi Protokol Otentikasi FIDO U2F Sunderi Pranata; Hargyo Tri Nugroho; Hirofumi Yamaki
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 1 (2017): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

It is known that password itself is not enough for formidable authentication method since it has a lot of vulnerabilities. Multi factor authentication (MFA) is introduced for the next generation for good authentication to address that issue. MFA combines two or more of three principles of good security, “something you know”, “something you have”, and “something you are”. Most MFA mechanisms work as one time passwords (OTP). However, they can still be vulnerable to phishing and MiTM attack. On top of that, OTP can be hard to use as it requires user to input another password given by the device (SMS, token, authenticator). Implemented in small USB U2F device, FIDO U2F delivers easier yet stronger security on authentication process which implements public key cryptography, challenge-response protocol, and phishing and MitM protection. Index Terms— Authentication protocol, FIDO U2F, Multi factor authentication, OTP

Pengaruh Algoritma Stemming Nazief-Adriani Terhadap Kinerja Algoritma Winnowing Untuk Mendeteksi Plagiarisme Bahasa Indonesia Hargyo Tri Nugroho
Ultima Computing : Jurnal Sistem Komputer Vol 9 No 1 (2017): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Winnowing algorithm is one among many algorithms for detecting document similarity and plagiarism. Some studies show that Winnowing algorithm performs quite well. One form of plagiarism is paraphrase plagiarism. Paraphrase plagiarism can be done by changing sentence structure, changing vocabulary, and adding or changing affixes. Based on some of our previous experiments, detecting document resemblances can be enhanced by changing the words containing affixes to their basic words. In computer science, this technique is known as stemming - a technique to extract the basic word from an affixed word. Usually this technique is required in the filtering process to save storage media. For Indonesian, the Nazief-Adriani stemming algorithm is by far the most appropriate. This study examines how the effect of Nazief-Adriani stemming algorithm on Winnowing algorithm's performance against Indonesian texts. The results showed that the stemming process using Bloom-Filter on the Winnowing algorithm tends to decrease the similarity level achieved, but it accelerates processing time by approximately 30%. Keywords—Algoritma Nazief-Adriani, Algoritma Winnowing, Bloom-Filter, Plagiat, Plagiat Checker

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