AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges
Abstract Distributed Denial of Service (DDoS) attacks in IoT networks are one of the most
devastating and challenging cyber-attacks. The number of IoT users is growing …
devastating and challenging cyber-attacks. The number of IoT users is growing …
Network intrusion detection system by applying ensemble model for smart home.
The exponential advancements in recent technologies for surveillance become an important
part of life. Though the internet of things (IoT) has gained more attention to develop smart …
part of life. Though the internet of things (IoT) has gained more attention to develop smart …
Blockchain-Based Smart Farm Security Framework for the Internet of Things
Smart farming, as a branch of the Internet of Things (IoT), combines the recognition of
agricultural economic competencies and the progress of data and information collected from …
agricultural economic competencies and the progress of data and information collected from …
[HTML][HTML] Software-defined-networking-based one-versus-rest strategy for detecting and mitigating distributed denial-of-service attacks in smart home internet of things …
The number of connected devices or Internet of Things (IoT) devices has rapidly increased.
According to the latest available statistics, in 2023, there were approximately 17.2 billion …
According to the latest available statistics, in 2023, there were approximately 17.2 billion …
Botnet‐based IoT network traffic analysis using deep learning
IoT networks are increasingly being connected to a wide range of devices, and the number
of devices connected has significantly increased in recent years. As a consequence, the …
of devices connected has significantly increased in recent years. As a consequence, the …
Android ransomware detection using supervised machine learning techniques based on traffic analysis
A Albin Ahmed, A Shaahid, F Alnasser, S Alfaddagh… - Sensors, 2023 - mdpi.com
In today's digitalized era, the usage of Android devices is being extensively witnessed in
various sectors. Cybercriminals inevitably adapt to new security technologies and utilize …
various sectors. Cybercriminals inevitably adapt to new security technologies and utilize …
[HTML][HTML] A Comprehensive Survey on Generative AI Solutions in IoT Security
JL López Delgado, JA López Ramos - Electronics, 2024 - mdpi.com
The influence of Artificial Intelligence in our society is becoming important due to the
possibility of carrying out analysis of the large amount of data that the increasing number of …
possibility of carrying out analysis of the large amount of data that the increasing number of …
[HTML][HTML] DBSCAN SMOTE LSTM: Effective Strategies for Distributed Denial of Service Detection in Imbalanced Network Environments
In detecting Distributed Denial of Service (DDoS), deep learning faces challenges and
difficulties such as high computational demands, long training times, and complex model …
difficulties such as high computational demands, long training times, and complex model …
Enhancing electronic agriculture data security with a blockchain-based search method and e-signatures
DH Tahayur, M Al-Zubaidie - Mesopotamian Journal of …, 2024 - mesopotamian.press
The production of digital signatures with blockchain constitutes a prerequisite for the security
of electronic agriculture applications (EAA), such as the Internet of Things (IoT). To prevent …
of electronic agriculture applications (EAA), such as the Internet of Things (IoT). To prevent …
[PDF][PDF] Evaluation of machine learning and deep learning methods for early detection of internet of things botnets
The internet of things (IoT) represents a rapidly expanding sector within computing,
facilitating the interconnection of myriad smart devices autonomously. However, the complex …
facilitating the interconnection of myriad smart devices autonomously. However, the complex …