A hybrid intrusion detection model using ega-pso and improved random forest method

AK Balyan, S Ahuja, UK Lilhore, SK Sharma… - Sensors, 2022 - mdpi.com
Due to the rapid growth in IT technology, digital data have increased availability, creating
novel security threats that need immediate attention. An intrusion detection system (IDS) is …

Iot traffic-based DDoS attacks detection mechanisms: A comprehensive review

P Shukla, CR Krishna, NV Patil - The Journal of Supercomputing, 2024 - Springer
Abstract The Internet of Things (IoT) has emerged as an inevitable part of human life, that
includes online learning, smart homes, smart cars, smart grids, smart cities, agriculture, and …

Cyber threats detection in smart environments using SDN-enabled DNN-LSTM hybrid framework

M Al Razib, D Javeed, MT Khan, R Alkanhel… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …

Anomaly-based intrusion detection system for IoT application

M Bhavsar, K Roy, J Kelly, O Olusola - Discover Internet of things, 2023 - Springer
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …

A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system

S Siva Shankar, BT Hung, P Chakrabarti… - Education and …, 2024 - Springer
Modern life is increasingly influenced by networks, making cybersecurity a crucial area of
study. However, due to their few resources and varied makeup, they are more vulnerable to …

An adversarial domain adaptation approach combining dual domain pairing strategy for IoT intrusion detection under few-shot samples

W Ma, R Liu, K Li, S Yan, J Guo - Information Sciences, 2023 - Elsevier
The security of the Internet of Things (IoT) is an integral research topic to support its
applicability. With the rapid development of IoT technology, security threats have become …

Machine learning based intrusion detection system for minority attacks classification

AP Singh, S Kumar, A Kumar… - 2022 international …, 2022 - ieeexplore.ieee.org
With the fast usage of internet services, the Internet of Things (IoT) and edge machines are
also connecting to the World Wide Web (WWW). The frequent utilization of these devices …

Network intrusion detection systems: A systematic literature review of hybrid deep learning approaches

SK Wanjau, GM Wambugu, AM Oirere - 2022 - repository.mut.ac.ke
Network Intrusion Detection Systems (NIDSs) have become standard security solutions that
endeavours to discover unauthorized access to an organizational computer network by …

Fog-assisted deep-learning-empowered intrusion detection system for RPL-based resource-constrained smart industries

D Attique, H Wang, P Wang - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a prominent and advanced network communication
technology that has familiarized the world with smart industries. The conveniently acquirable …

A deep reinforcement learning algorithm for the rectangular strip packing problem

J Fang, Y Rao, M Shi - Plos one, 2023 - journals.plos.org
As a branch of the two-dimensional (2D) optimal blanking problem, rectangular strip packing
is a typical non-deterministic polynomial (NP-hard) problem. The classical packing solution …