A Novel Feature Selection Technique for Intrusion Detection System Using RF-RFE and Bio-inspired Optimization

ZA Tonni, R Mazumder - 2023 57th Annual Conference on …, 2023 - ieeexplore.ieee.org
A massive change has been brought about by the constantly expanding usage of
technology and the internet, which has substantially enhanced the accessibility to services …

Role of Artificial Intelligence in Enhancing Network Security: A comprehensive analysis

SZ Iqbal, A Noor, A Batool - International Journal of Advanced Sciences …, 2023 - ijasc.com
Network security holds unprecedented importance in the current digital era as organizations
face escalating cyber threats. This systematic review explores the pivotal role of artificial …

Detection of Zero-Day Attacks using CNN and LSTM in Networked Autonomous Systems 'IEEE CNS 23 Poster'

H El Alami, DB Rawat - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel approach for detecting zero-day attacks on networked
autonomous systems (AS). The proposed approach combines CNN and LSTM algorithms to …

A Survey of Smart Grid Intrusion Detection Datasets

MM Alani, T Baker - … of the 19th International Conference on …, 2023 - ebooks.iospress.nl
Due to the rapid growth of smart grid applications all over the globe, it has become a more
attractive target to malicious actors. Countries and stakeholders (eg, governments) spend …

One-class Classification Using Autoencoder Feature Residuals for Improved IoT Network Intrusion Detection

B Lewandowski, R Paffenroth - 2023 32nd International …, 2023 - ieeexplore.ieee.org
Networks are rapidly evolving to include more Internet of Things devices as we grow to rely
on them for smart home services, health infrastructure, and industrial development. Along …

The Impact of Transformation in Higher Education: Introductory of New Technology, Is It Good or Bad?

N Mohd Daud - Journal of Information and Organizational Sciences, 2023 - hrcak.srce.hr
Sažetak This study examines the impact of transformation in higher education, in particular
on the introduction of new technology to students in Malaysia. This study is unique as it …

Improving Intrusion Detection Systems for IoT Devices using Automated Feature Generation based on ToN_IoT dataset

KK Eren, K Küçük - 2023 8th International Conference on …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has witnessed exponential growth in recent years, leading to a
diverse and interconnected ecosystem of devices. However, this rapid expansion has also …

[PDF][PDF] Explainable Intrusion Detection for Internet of Medical Things.

SA Memon, UK Wiil, M Shaikh - KMIS, 2023 - pdfs.semanticscholar.org
IoMT sensors are used for continuous real-time remote monitoring of patients' health
indicators. IoMT integrate several devices to capture sensitive medical data from devices …

Detection of Anomalies and Explanation in Cybersecurity

D Samariya, J Ma, S Aryal, X Zhao - International Conference on Neural …, 2023 - Springer
Histogram-based anomaly detectors have gained significant attention and application in the
field of intrusion detection because of their high efficiency in identifying anomalous patterns …

Cyber Intrusion detection in Industry 4.0 Data using Machine Learning

MI Hossain, K Khatun, I Ahmed - Authorea Preprints, 2023 - techrxiv.org
Industry 4.0, also known as the Fourth Industrial Revolution, is characterized by the
incorporation of advanced manufacturing technologies such as the Internet of Things (IoT) …