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Method for Detection and Mitigation Cross Site Scripting Attack on Multi-Websites Hartono Hartono; Joko Triloka
Prosiding International conference on Information Technology and Business (ICITB) 2021: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 7
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Cross-Site Scripting (XSS) attack exploits scripting security bugs and issues on the website. XSS attack focuses and occurred on client browser application or frontend. It consists of three types of attacks: stored, reflected, and document object manipulation. The XSS attacks can cause fatal and dangerous problems, such as theft of user data, account takeovers, and illegal access to banking transactions or important data. Studies on XSS detection and mitigation have been carried out by some researchers, but it still leaves some problems, such as there is no connected mitigation to respond to the attack, using only a single-layer security mechanism and fewer payload data to test, weak measurement of the defense effectiveness from XSS attack, and the use of insufficient experiment and data testing. In addition, the method used in previous research still fails to solve all types of XSS attack. Most of the previous research also separates the method of attack detection and its mitigation. Therefore, this study proposes not only for detection but also for mitigation to overcome XSS attacks. The proposed method in this study is divided into two parts: detection and mitigation method. The proposed detection method is by using machine learning, based on lexical analysis. Then, the proposed mitigation method is the multi-layer security method which consists of five layers of the security. The proposed method has been structured systemati-cally and procedurally. In previous research, the partial methods proposed in this paper has been effectively implemented. There-fore, the proposed method is regarded as appropriate method to detect and mitigate XSS attack. Keywords—XSS, cross site scripting, mitigation system, machine learning, cyber-attack, lexical analysis
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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Abstract

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.
PROTOTYPE SISTEM OTOMATISASI RUMAH BERBASIS IoT ( Internet of Things) Adi Wibowo; Sigit Gunanto; Hartono Hartono
Jurnal Ilmiah Matrik Vol 25 No 1 (2023): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v25i1.2286

Abstract

Abstract : The progress in electronics is very significant. The concept of home automation systems has the potential to improve the living conditions of traditional homes. The aim is to provide convenience to the elderly and people with special needs. Our home automation system works effectively by providing clients with more personal happiness and comfort by using the automation system. Among the four popular wireless connections that will be implemented in this research is WIFI because the WIFI capabilities are more than enough to be implemented in the design. Also, most of the laptops/notebooks or Smartphones nowadays come with a built-in WIFI adapter. Indirectly will reduce the cost of this system. The research carried out has succeeded in making light and fan switching command displays using smartphones, tablet laptops can also use voice commands via Google Assistant. The results obtained are very responsive in receiving and responding to orders quickly and precisely.
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.
Peningkatan Budaya Literasi Membaca Pada Siswa Kelas 1 di SD Negeri 03 Kembang Tanjung Melalui Media Pop Up Book Hartono; Ridha Nurjanah; Indah Ilya Mustofa; Desi Romadhon; Tia Safitri; Zikri Zulkarnain
Pengabdian Kepada Masyarakat Cendekia Vol. 2 No. 1 (2023): Pengabdian Kepada Masyarakat Cendekia
Publisher : Sentra Kekayaan Intelektual dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/pkmcendekia.v2i1.939

Abstract

This community service activity is part of the KKN UMKO Transfer Knowledge activities for Muhammadiyah University Kotabumi Students which was carried out on January 31 2023 – March 2 2023 in Kembang Tanjung Village, South Abung District, North Lampung Regency, Lampung. This KKN activity is carried out by lecturers and students to the community, especially in the field of education in order to improve a culture of reading literacy in elementary school students. So the solution is to make interesting reading media, namely pop up book media. The method of implementing this activity starts with making reading media, namely pop up books. Furthermore, students introduced pop up book reading media to elementary school students and asked students to read stories that had been made through pop up book reading media. After this interesting pop up book reading media, it is hoped that elementary school students will be more diligent in reading so that there are no more elementary school students who cannot read.