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All Journal Jurnal Informatika Proceeding International Conference on Information Technology and Business International Journal of Artificial Intelligence Research Jurnal Ilmiah Matrik SIENNA Pengabdian Kepada Masyarakat Cendekia
Hartono Hartono
Universitas Muhammadiyah Kotabumi
Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Other

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Journal : SIENNA

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XSS Attack Detection and Mitigation Using Multi-Layer Security Mechanism (MLSM) Hartono; Sriyanto
Sienna Vol 3 No 2 (2022): Sienna Volume 3 Nomor 2 Desember 2022
Publisher : LPPM Universitas Muhammadiyah Kotabumi

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Abstract

BSSN stated that there were 12.9 million cyber threats in Indonesia during 2018. In January - April 2020, the number of cyber-attacks increased. In those four months, the number of cyberattacks reached 88 million. The methods, applications, and attack techniques used cannot be identified easily. However, according to data from the OWASP Top Ten in 2017 and 2021 (statistics-based proposal), there are 10 website security vulnerabilities that are most often exploited. XSS is one of the security holes included in the list. In addition to being a loophole that is often found, the impact of XSS is very fatal, because it allows attackers to do account takeovers, theft of personal data, and so on. There are several studies that have implemented mechanisms to detect and mitigate XSS attacks. However, the implementation has not yet obtained effective and holistic results. The mechanism tested by previous research still leaves a security problem that allows attackers to execute XSS attacks. One of the things that cause this problem is the use of a single-layer security mechanism. Therefore, the purpose of this study is to test the effectiveness of the multi-layer security (MLSM) mechanism in detecting and mitigating XSS attacks. MLSM consists of five layers, namely OWASP ModSecurity, Framework/CMS Security Feature, HTTP Middleware, Templating Engine, and Data Sanitizer. To test the security level of MLSM, the researchers conducted a simulation of attacks using the Arachni and ZAP applications on a sample website that had 170 XSS security vulnerabilities. Based on test attacks on non-MLSM websites, Arachni successfully executed 168 of 170 (98.82%), and ZAP executed 103 of 170 (60.58%) XSS attacks. However, after implementing the MLSM feature on the website, Arachni and ZAP attacks failed to perform XSS attacks, both stored, reflected, and DOM-based XSS. There is no single type of XSS attack that can be carried out on MLSM websites
Deteksi dan Mitigasi Serangan Backdoor Menggunakan Python Watchdog Susilo Hartono; Hartono Hartono; Khusnul Khotimah
Sienna Vol 3 No 1 (2022): Sienna Volume 3 Nomor 1 Juli 2022
Publisher : LPPM Universitas Muhammadiyah Kotabumi

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The number of cyber attacks is increasing. This happens thoroughly, both at the international and national levels. Technology, techniques, and methods of carrying out cyber attacks are also increasingly sophisticated and up-to-date. Responding to this phenomenon, this research was conducted to implement an application for detecting and mitigating backdoor-based attacks using Python Watchdog. The method used in this study is the experimental method. This research is a case study of backdoor attacks that have been experienced by Universitas Muhammadiyah Kotabumi. In August – December 2021, one of the servers owned by Universitas Muhammadiyah Kotabumi received a significant backdoor-based attack. This research implements Python Watchdog to detect foreign files that are indicated as a backdoor, then sends notifications. Referring to the notification, the administrator can take further action. Based on the research that has been done, Python Watchdog is proven to overcome backdoor attacks. Once Python Watchdog is enabled, backdoor attacks are no longer possible.
Sistem Inferensi Fuzzy Tsukamoto Untuk Menentukan Tingkat Kualitas Air Pada Kolam Budidaya Ikan Lele Muhammad Yudi Abdul Syawari; Hartono
Sienna Vol 5 No 1 (2024): Sienna Volume 5 Nomor 1 Juli 2024
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v5i1.1358

Abstract

This study explores the position of catfish as a major aquaculture commodity in Indonesia. In 2013, Indonesia dominated global catfish production with a market share of 75.6%. Despite the higher growth rate of catfish farming compared to other commodities, production did not meet the set targets. The government is working to strengthen national catfish production and enhance its role as a leading commodity in Indonesia. The advantages of catfish lie in its content of leucine and lysine, which are important for children's growth and nitrogen balance. Environmental factors such as freshwater pH (6.5-8.6), optimal temperature (23-30°C), oxygen levels (2-5 mg/L), and ammonia levels (5-7 mg/L) affect the water quality in catfish farming ponds. Natural and human factors such as extreme weather and overfeeding can impact the living conditions and growth of catfish. This study aims to investigate the relationship between pond water quality and catfish growth. The methods used include confusion matrix and Tsukamoto fuzzy logic to determine the accuracy of the water quality assessment system. The main objective of this research is to provide solutions and benefits for the community or the field of study.
Co-Authors Adi Wibowo Aji Wijaya, Ryan Apriando , Rama Apriando, Rama Desi Romadhon Indah Ilya Mustofa Joko Triloka khusnul khotimah Khusnul Khotimah Muhammad Yudi Abdul Syawari Ridha Nurjanah Sigit Gunanto Sriyanto, Sriyanto Susilo Hartono Sutedi Sutedi Tia Safitri Triloka, Joko Yudi Abdul Syawari, Muhammad Zikri Zulkarnain