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[HTML][HTML] DDoS attack detection in IoT-based networks using machine learning models: A survey and research directions
With the emergence of technology, the usage of IoT (Internet of Things) devices is said to be
increasing in people's lives. Such devices can benefit the average individual, who does not …
increasing in people's lives. Such devices can benefit the average individual, who does not …
Advancing network security in industrial IoT: a deep dive into AI-enabled intrusion detection systems
The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
[HTML][HTML] Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks
Abstract The Internet of Things (IoT) is a complex and diverse network consisting of resource-
constrained sensors/devices/things that are vulnerable to various security threats …
constrained sensors/devices/things that are vulnerable to various security threats …
Intrusion detection system on IoT with 5G network using deep learning
The Internet of Things (IoT) cyberattacks of fully integrated servers, applications, and
communications networks are increasing at exponential speed. As problems caused by the …
communications networks are increasing at exponential speed. As problems caused by the …
A time-efficient approach toward DDoS attack detection in IoT network using SDN
As the usability of Internet of Things (IoT) devices increases, the security threats and
vulnerabilities associated with these resource-constrained IoT devices also rise. One of the …
vulnerabilities associated with these resource-constrained IoT devices also rise. One of the …
Intelligent techniques for detecting network attacks: review and research directions
The significant growth in the use of the Internet and the rapid development of network
technologies are associated with an increased risk of network attacks. Network attacks refer …
technologies are associated with an increased risk of network attacks. Network attacks refer …
Attack detection in IoT using machine learning
Many researchers have examined the risks imposed by the Internet of Things (IoT) devices
on big companies and smart towns. Due to the high adoption of IoT, their character, inherent …
on big companies and smart towns. Due to the high adoption of IoT, their character, inherent …
Kejahatan siber terhadap individu: Jenis, analisis, dan perkembangannya
R Butarbutar - Technology and Economics Law Journal, 2023 - scholarhub.ui.ac.id
Penelitian ini membahas kejahatan siber terhadap individu, jenis kejahatan siber, analisis,
dan perkembangannya. Penelitian ini menggunakan penelitian interdispliner dengan …
dan perkembangannya. Penelitian ini menggunakan penelitian interdispliner dengan …
A hybrid machine learning model for detecting cybersecurity threats in IoT applications
The introduction of the Internet of Things has led to the connectivity of millions of devices
with less human interaction. This demand in connectivity has resulted in a surge in network …
with less human interaction. This demand in connectivity has resulted in a surge in network …
Feature selection and comparison of classification algorithms for wireless sensor networks
Wireless sensor networks (WSNs) are develo** at an incredible pace because of their
cost-effective solutions for applications like military and medical. WSN consists of a large …
cost-effective solutions for applications like military and medical. WSN consists of a large …