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Optimizing Pigeon-Inspired Algorithm to Enhance Intrusion Detection System Performance Internet of Things Environments Ratnawati, Fajar; Siswanto, Apri; Jaroji, -; Effendy, Akmar; Tedyyana, Agus
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1724

Abstract

Intrusion Detection Systems (IDS) are crucial in maintaining network security and safeguarding sensitive information against external and internal threats. This study proposes a novel approach by utilizing a Pigeon-Inspired Algorithm optimized with the Hyperbolic Tangent Function (Tanh) function to enhance the performance of IDS in threat detection specifically tailored for Internet of Things (IoT) environments. We aim to create a more robust solution for optimizing intrusion detection systems by integrating the efficient and effective Tanh function into the Pigeon-Inspired Algorithm. The proposed method is evaluated on three widely-used datasets in the field of IDS: NSL-KDD, CICIDS2017, and CSE-CIC-IDS2018. Experimental results demonstrate that integrating the Tanh function into the Pigeon-Inspired Algorithm significantly improves the performance of the intrusion detection system. Our method achieves higher accuracy, True Positive Rate (TPR), and F1-score while reducing the False Positive Rate (FPR) compared to traditional Pigeon-Inspired Algorithms and several other optimization algorithms. The Pigeon-Inspired Algorithm optimized with the Tanh function offers an efficient and effective solution for enhancing intrusion detection system performance, specifically in Internet of Things environments. This method holds great potential for application in diverse network environments, bolstering information security and safeguarding systems from evolving cybersecurity threats. By extending the applicability and effectiveness of the Pigeon-Inspired Algorithm optimized with the Tanh function, researchers can contribute to developing more comprehensive and robust security solutions, addressing the ever-evolving landscape of IoT-based cybersecurity threats.
APLIKASI PENDATAAN KELUAR MASUK PENUMPANG KAPAL MELALUI SELAT MALAKA DI PULAU BENGKALIS BERBASIS WEB: SHIP PASSENGER EXIT DATA COLLECTION APPLICATION THROUGH THE MALAKA STRAIT ON BENGKALIS ISLAND BASED WEB Nazirah, Reza Suci; Fitri, Fitri; Ratnawati, Fajar
JISTECH: Journal of Information Science and Technology Vol 10 No 2 (2018): Oktober 2018
Publisher : Universitas Papua

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Abstract

The ship is one of sea transport that is widely used by the community particularly wholived in the Islands for example Bengkalis.Bengkalis Regency, which has a layout is verystrategic because it is directly adjacent to the Strait of Malacca until passed by theinternational shipping lanes.Logging current ship passengers still are manual that istyped using a typewriter and delivered straight to the Immigration Office.Thereforecreated an application web-based ship passengers logging by using MySQL as thedatabase that runs on a xampp server so it makes it easy to ship party in merekappassengers and immigration data to view and check out their report data accuratelypassengers. The design method used in this study is UML which consists of use caseand activity diagrams.