Multi-attribute decision-making for intrusion detection systems: A systematic review

A Alamleh, OS Albahri, AA Zaidan… - … Journal of Information …, 2023 - World Scientific
Intrusion detection systems (IDSs) employ sophisticated security techniques to detect
malicious activities on hosts and/or networks. IDSs have been utilized to ensure the security …

Intrusion, anomaly, and attack detection in smart vehicles

ST Banafshehvaragh, AM Rahmani - Microprocessors and Microsystems, 2023 - Elsevier
With the advancement of technology and Internet penetration in all aspects of life in today's
modern world, smart vehicles, particularly connected vehicles, are rising. As a result, as …

Joint IoT/ML platforms for smart societies and environments: a review on multimodal information-based learning for safety and security

H Attar - ACM Journal of Data and Information Quality, 2023 - dl.acm.org
The application of the Internet of Things (IoT) is highly expected to have comprehensive
economic, business, and societal implications for our smart lives; indeed, IoT technologies …

Fcnn-se: An intrusion detection model based on a fusion CNN and stacked ensemble

C Chen, Y Song, S Yue, X Xu, L Zhou, Q Lv, L Yang - Applied Sciences, 2022 - mdpi.com
As a security defense technique to protect networks from attacks, a network intrusion
detection model plays a crucial role in the security of computer systems and networks …

A marine hydrographic station networks intrusion detection method based on LCVAE and CNN-BiLSTM

T Hou, H Xing, X Liang, X Su, Z Wang - Journal of Marine Science and …, 2023 - mdpi.com
Marine sensors are highly vulnerable to illegal access network attacks. Moreover, the
nation's meteorological and hydrological information is at ever-increasing risk, which calls …

An optimization model for appraising intrusion-detection systems for network security communications: Applications, challenges, and solutions

M Abdel-Basset, A Gamal, KM Sallam, I Elgendi… - Sensors, 2022 - mdpi.com
Cyber-attacks are getting increasingly complex, and as a result, the functional concerns of
intrusion-detection systems (IDSs) are becoming increasingly difficult to resolve. The …

[PDF][PDF] A Novel Intrusion Detection Model of Unknown Attacks Using Convolutional Neural Networks.

A Alsaleh - Computer Systems Science & Engineering, 2024 - cdn.techscience.cn
With the increasing number of connected devices in the Internet of Things (IoT) era, the
number of intrusions is also increasing. An intrusion detection system (IDS) is a secondary …

Network intrusion detection based on DNA spatial information

T Hou, H Xing, X Liang, X Su, Z Wang - Computer Networks, 2022 - Elsevier
There is an ever-increasing risk of illegal access-induced Network Intrusion (NI), which calls
for prompt detection of illegal network behavior through profound Network Traffic (NT) …

Harnessing Machine Learning for Effective Cyber security Classifiers

T Jena, A Shankar, A Singhdeo - Asian Journal of …, 2023 - research.send4journal.com
Machine learning has emerged as a transformative force, innovating diverse industries
through its capacity to infuse meaningful insights from large datasets. It plays a pivotal role in …

Enhancing Cybersecurity Risk Management Through Conceptual Analysis Of Hrm Integration

F Mızrak - Yönetim Bilimleri Dergisi, 2024 - dergipark.org.tr
In the rapidly changing world shaped by technology, the need for effective cybersecurity risk
management has become vital for businesses. This literature review shifts the focus from …