Review of artificial intelligence for enhancing intrusion detection in the internet of things
Internet of Things is shaping the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …
expansion of adopting IoT-based approaches, their security represents a growing challenge …
[HTML][HTML] A novel ensemble method for enhancing Internet of Things device security against botnet attacks
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …
growth of network botnet attacks. The networks of compromised devices controlled by a …
Recursive feature elimination with cross-validation with decision tree: Feature selection method for machine learning-based intrusion detection systems
The frequency of cyber-attacks on the Internet of Things (IoT) networks has significantly
increased in recent years. Anomaly-based network intrusion detection systems (NIDSs) offer …
increased in recent years. Anomaly-based network intrusion detection systems (NIDSs) offer …
Smart approach for botnet detection based on Network Traffic analysis
A Obeidat, R Yaqbeh - Journal of Electrical and Computer …, 2022 - Wiley Online Library
Today, botnets are the most common threat on the Internet and are used as the main attack
vector against individuals and businesses. Cybercriminals have exploited botnets for many …
vector against individuals and businesses. Cybercriminals have exploited botnets for many …
A comparative study of using boosting-based machine learning algorithms for IoT network intrusion detection
Abstract The Internet-of-Things (IoT) environment has revolutionized the quality of living
standards by enabling seamless connectivity and automation. However, the widespread …
standards by enabling seamless connectivity and automation. However, the widespread …
Artificial intelligence enabled Luong Attention and Hosmer Lemeshow Regression Window‐based attack detection in 6G
B Bhuvaneshwari, B Balusamy… - International Journal …, 2023 - Wiley Online Library
Regardless of the developments of networking and communication technologies, security is
without exception a predominant feature to ensure network reliability. The future sixth …
without exception a predominant feature to ensure network reliability. The future sixth …
An Effective Classification of DDoS Attacks in a Distributed Network by Adopting Hierarchical Machine Learning and Hyperparameters Optimization Techniques
Data privacy is essential in the financial sector to protect client's sensitive information,
prevent financial fraud, ensure regulatory compliance, and safeguard intellectual property. It …
prevent financial fraud, ensure regulatory compliance, and safeguard intellectual property. It …
Dragon_Pi: IoT Side-Channel Power Data Intrusion Detection Dataset and Unsupervised Convolutional Autoencoder for Intrusion Detection
The growth of the Internet of Things (IoT) has led to a significant rise in cyber attacks and an
expanded attack surface for the average consumer. In order to protect consumers and …
expanded attack surface for the average consumer. In order to protect consumers and …
DT-ARO: Decision Tree-Based Artificial Rabbits Optimization to Mitigate IoT Botnet Exploitation
The rapid growth of Artificial Intelligence (AI) algorithms has created the opportunity to solve
complex problems such as Internet of Things (IoT) botnet attacks. The severity of IoT botnet …
complex problems such as Internet of Things (IoT) botnet attacks. The severity of IoT botnet …
Customized convolutional neural network model for IoT botnet attack detection
B Bojarajulu, S Tanwar - Signal, Image and Video Processing, 2024 - Springer
Abstract The Internet of Things is a disruptive technology that has changed the face of many
industries. On the contrary, the unpresidential growth of IoT has also introduced many …
industries. On the contrary, the unpresidential growth of IoT has also introduced many …