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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.
PENINGKATAN SISTEM KEAMANAN DI LINGKUNGAN SMKN 1 BENGKALIS Ratnawati, Fajar; Tedyyana, Agus
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 3 No. 2 (2023): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Desember 2023
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v3i2.3241

Abstract

Peningkatan system keamanan di lingkungan sekolah dapat dilakukan dengan cara menerapkan smart cctv. Smart CCTV adalah teknologi kamera pengawas yang dilengkapi dengan sistem pengolahan data dan kecerdasan buatan. Dengan teknologi ini, kamera pengawas dapat mendeteksi dan mengidentifikasi objek atau perilaku yang mencurigakan. Penerapan Smart CCTV di lingkungan sekolah dapat dipasang di beberapa titik strategis seperti pintu gerbang, koridor, ruang kelas, dan area parkir. Selain itu, Smart CCTV juga dapat diintegrasikan dengan sistem alarm dan notifikasi otomatis sehingga petugas keamanan dapat segera merespon kejadian yang mencurigakan. Keamanan di lingkungan sekolah merupakan hal yang sangat penting untuk menjaga keselamatan para siswa, guru, dan karyawan. Dalam penerapannya, Smart CCTV dapat memberikan rasa aman dan nyaman bagi siswa, guru, dan karyawan di dalam lingkungan sekolah. Selain itu, Smart CCTV juga dapat membantu pihak sekolah dalam menangani dan mengidentifikasi pelaku kejahatan yang terjadi di lingkungan sekolah