[HTML][HTML] A deep learning-based novel hybrid CNN-LSTM architecture for efficient detection of threats in the IoT ecosystem

A Nazir, J He, N Zhu, SS Qureshi, SU Qureshi… - Ain Shams Engineering …, 2024 - Elsevier
Abstract The Internet of Things (IoT) landscape is witnessing rapid growth, driven by
continuous innovation and a simultaneous increase in cybersecurity threats. As these …

An optimized LSTM-based deep learning model for anomaly network intrusion detection

N Dash, S Chakravarty, AK Rath, NC Giri… - Scientific Reports, 2025 - nature.com
The increasing prevalence of network connections is driving a continuous surge in the
requirement for network security and safeguarding against cyberattacks. This has triggered …

Effectiveness of an Adaptive Deep Learning-Based Intrusion Detection System

W Villegas-Ch, J Govea, R Gutierrez, AM Navarro… - IEEE …, 2024 - ieeexplore.ieee.org
Cybersecurity is characterized by its dynamism and complexity, with malicious actors
continually developing new strategies to evade traditional intrusion detection systems …

Security Challenges in Internet of Things

P Joshi, S Joshi - Advanced Cyber Security Techniques for Data …, 2025 - igi-global.com
Industrial and domestic appliances are IoT-connected. Sensors, phones, and security are
examples. The benefits of device communication are various. Monitor IoT security risks …

AI-driven solutions for proactive network security and threat detection

G Li, Y Sun, H Fu, Y Sun - IET Conference Proceedings CP989, 2024 - IET
This paper introduces the Adaptive Threat Detection Network (ATDN) designed to address
the complex and diverse cyber threats in university networks. ATDN leverages reinforcement …

Comparative Analysis of Oversampling Techniques and Feature Selection for Intrusion Detection

M Kim - 한국통신학회논문지, 2024 - dbpia.co.kr
To accurately detect and defend against ever-evolving cyber-attacks, network security
technologies using artificial intelligence are continually advancing. This study analyzed the …

[PDF][PDF] Indonesian Journal on Data Science

U Dataset - researchgate.net
Intrusion Detection System is a system that monitors network traffic for suspicious activity
and issues alerts when such activity is discovered [1]. Globally, computer networks are …