Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Malcom: Indonesian Journal of Machine Learning and Computer Science

Analysis of Measuring Information Security Awareness for Employees at Institution XYZ Permadi, Rachmat Bayu; Ramli, Kalamullah
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 4 (2024): MALCOM October 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i4.1453

Abstract

As a government institution in the field of civil servant management, XYZ Institution has data on 4.4 million Employees spread throughout Indonesia which needs to be maintained.  Based on the BSSN report, there has been a significant increase in potential threats in recent years and is expected to continue in 2024, one of which is the threat of Phishing. This research was conducted to measure the level of information security awareness (ISA) for employees at xyz institution. Phishing simulations and questionnaires are used to measure the level of ISA and how to provide ISA education so that it can increase the level of  ISA employees. Simulation results will be compared before and after the provision of ISA education. The results of providing education have a positive impact for employees. Simulation before providing education there were 65% of employees clicking on phishing urls and after education there was a decrease to 17%. While employees who were exposed to phishing before education were 33% and after education there was a decrease to 16%. In addition, the questionnaire filled out by 150 employees showed results with a value of 86.54%  for the level of ISA employee, which is in the good category
Design and Analysis of Cybersecurity Information Sharing Mechanism Between Computer Security Incident Response Teams (CSIRT) in Indonesia on Blockchain Technology Through Hyperledger Composer and Interplanetary File System (IPFS) Hariyanto, Fajar; Ramli, Kalamullah
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 4 (2024): MALCOM October 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i4.1466

Abstract

Sharing cybersecurity information among the Computer Security Incident Response Team (CSIRT) is a crucial step in enhancing organizational cybersecurity. However, a primary challenge faced is the lack of trust among users regarding the confidentiality, integrity, and availability of shared information. This study proposes a new approach by designing a mechanism for sharing cybersecurity information among CSIRTs in Indonesia on blockchain technology using Hyperledger Composer. This approach offers an innovative solution by leveraging the advantages of blockchain technology. Through this approach, cybersecurity information can be shared in a decentralized manner, overcoming the weaknesses of centralized systems, and enhancing overall information security. Another advantage of blockchain technology is its high performance and scalability, enabling increased speed, and user capacity in the process of sharing information. By implementing a blockchain-based mechanism for sharing cybersecurity information, this research aims to ensure crucial aspects of information security, namely confidentiality, integrity, and availability. The contribution of this study is not only in enhancing organizational cybersecurity but also in providing an innovative solution to practical challenges in sharing cybersecurity information among CSIRTs.