[HTML][HTML] Enhancing IoT Security Using GA-HDLAD: A Hybrid Deep Learning Approach for Anomaly Detection
I Mutambik - Applied Sciences, 2024 - mdpi.com
The adoption and use of the Internet of Things (IoT) have increased rapidly over recent
years, and cyber threats in IoT devices have also become more common. Thus, the …
years, and cyber threats in IoT devices have also become more common. Thus, the …
Distributed Denial of Service Attack Detection in IoT Networks using Deep Learning and Feature Fusion: A Review
The explosive growth of Internet of Things (IoT) devices has led to escalating threats from
distributed denial of service (DDoS) attacks. Moreover, the scale and heterogeneity of IoT …
distributed denial of service (DDoS) attacks. Moreover, the scale and heterogeneity of IoT …
Improvement of Distributed Denial of Service Attack Detection through Machine Learning and Data Processing
FL Becerra-Suarez, I Fernández-Roman, MG Forero - Mathematics, 2024 - mdpi.com
The early and accurate detection of Distributed Denial of Service (DDoS) attacks is a
fundamental area of research to safeguard the integrity and functionality of organizations' …
fundamental area of research to safeguard the integrity and functionality of organizations' …
Internet of Things Enabled DDoS Attack Detection Using Pigeon Inspired Optimization Algorithm with Deep Learning Approach.
TA Alghamdi, SS Alotaibi - Computers, Materials & Continua, 2024 - search.ebscohost.com
Abstract Internet of Things (IoTs) provides better solutions in various fields, namely
healthcare, smart transportation, home, etc. Recognizing Denial of Service (DoS) outbreaks …
healthcare, smart transportation, home, etc. Recognizing Denial of Service (DoS) outbreaks …
Proactive Memory Efficient DDOS Attack Detection at IoT Gateways through Microneural Networks with Jellyfish Optimizer
In fact, the modernization of IoT technology has led to the emergence of cyber hazards with
DDoS attacks as particularly risky for IoT service availability. This occurs by overwhelming …
DDoS attacks as particularly risky for IoT service availability. This occurs by overwhelming …
Multi-mission UAV Trajectory Planning in Smart Agriculture with Polarization Learning Model-Driven by Harris Hawks Optimizer
X Liu, Y Ma, P Shao - China Intelligent Networked Things Conference, 2024 - Springer
With the aim of enhancing the capability of UAVs to perform multi-mission trajectory planning
in smart agriculture, a polarization model-based Harris Hawk Optimizer (PL-HHO) is …
in smart agriculture, a polarization model-based Harris Hawk Optimizer (PL-HHO) is …
Advanced DDos Attack Detection in SDIoT Using DNFN and Nature-Inspired Optimizations
K Kalpana, M Prachi - Journal of Electrical Systems, 2024 - search.proquest.com
The purpose of this research is to improve the detection of Distributed Denial of Service
(DDoS) attacks in systems that employ Software-Defined Internet of Things (SD-IoT). First …
(DDoS) attacks in systems that employ Software-Defined Internet of Things (SD-IoT). First …
[PDF][PDF] Recognition of Threats in Hybrid Wireless Sensor Networks by Integrating Harris Hawks with Gradient Boosting Algorithm
HA Rasool, AH Najim, MH Abd Alsadh, HM Hariz - researchgate.net
Due to the increasing sophistication and complexity of cyber-attacks, particularly in Hybrid
Wireless Sensor Networks (HWSNs), digital community infrastructures face significant …
Wireless Sensor Networks (HWSNs), digital community infrastructures face significant …