BBBC-DDRL: A hybrid big-bang big-crunch optimization and deliberated deep reinforced learning mechanisms for cyber-attack detection

A Abirami, S Palanikumar - Computers and Electrical Engineering, 2023 - Elsevier
Currently, the wireless networks are increasingly used in all kinds of applications due to their
adaptability, flexibility, and easy-access. Without a predetermined architecture, wireless …

Explainable AI and random forest based reliable intrusion detection system

S Wali, I Khan - Authorea Preprints, 2023 - techrxiv.org
Emerging Cyber threats with an increased dependency on vulnerable cyber-networks have
jeopardized all stakeholders, making Intrusion Detection Systems (IDS) the essential …

An adaptive network security system for iot-enabled maritime transportation

E Gyamfi, JA Ansere, M Kamal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the rapid growth of the Internet of Things (IoT) applications in Maritime Transportation
Systems (MTS), cyber-attacks and challenges in data safety have also increased …

Design of efficient based artificial intelligence approaches for sustainable of cyber security in smart industrial control system

A Alzahrani, THH Aldhyani - Sustainability, 2023 - mdpi.com
Online food security and industrial environments and sustainability-related industries are
highly confidential and in urgent need for network traffic analysis to attain proper security …

[HTML][HTML] Golden jackal optimization algorithm with deep learning assisted intrusion detection system for network security

NO Aljehane, HA Mengash, MM Eltahir… - Alexandria Engineering …, 2024 - Elsevier
Network security is essential to our daily communications and networks. Cybersecurity
researchers initiate the significance of emerging proficient network intrusion detection …

Intrusion detection system using deep learning for in-vehicle security

J Zhang, F Li, H Zhang, R Li, Y Li - Ad Hoc Networks, 2019 - Elsevier
With the development of vehicle intelligence technology, the combination of network and
vehicle becomes inevitable, which brings much convenience to people. At the same time …

A genetic-based extreme gradient boosting model for detecting intrusions in wireless sensor networks

M Alqahtani, A Gumaei, H Mathkour… - Sensors, 2019 - mdpi.com
An Intrusion detection system is an essential security tool for protecting services and
infrastructures of wireless sensor networks from unseen and unpredictable attacks. Few …

LTrust: An adaptive trust model based on LSTM for underwater acoustic sensor networks

J Du, G Han, C Lin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an effective security mechanism, trust models have been proposed to estimate the
reliability of the individual nodes in Underwater Acoustic Sensor Networks (UASNs) during …

Performance analysis of machine learning algorithms in detecting and mitigating black and gray hole attacks

M Kurtkoti, BS Premananda… - … : Proceedings of ICIDCA …, 2022 - Springer
Black hole attacks and gray hole attacks are major denial of service (DoS) attacks in
wireless sensor networks (WSNs). Intrusion detection systems are proposed to detect such …

Intrusion detection system using optimal support vector machine for wireless sensor networks

S Amaran, RM Mohan - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Wireless sensor networks (WSN) hold numerous battery operated, compact sized, and
inexpensive sensor nodes, which are commonly employed to observe the physical …