A comparative analysis of various machine learning methods for anomaly detection in cyber attacks on IoT networks
This study explores the growing challenges of cybersecurity in the context of rapidly adopted
Internet of Things (IoT) technologies, which have become increasingly susceptible to cyber …
Internet of Things (IoT) technologies, which have become increasingly susceptible to cyber …
N-baiot—network-based detection of iot botnet attacks using deep autoencoders
The proliferation of IoT devices that can be more easily compromised than desktop
computers has led to an increase in IoT-based botnet attacks. To mitigate this threat, there is …
computers has led to an increase in IoT-based botnet attacks. To mitigate this threat, there is …
[PDF][PDF] Attack and anomaly detection in IoT networks using supervised machine learning approaches.
H Tyagi, R Kumar - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …
that constantly share data, analyze, and make decisions while connected to the internet …
E-spion: A system-level intrusion detection system for iot devices
As the Internet of Things (IoT) grows at a rapid pace, there is a need for an effective and
efficient form of security tailored for IoT devices. In this paper, we introduce E-Spion, an …
efficient form of security tailored for IoT devices. In this paper, we introduce E-Spion, an …
Intrusion detection using network traffic profiling and machine learning for IoT
JR Rose, M Swann, G Bendiab… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …
ranging from improved efficiency to higher productivity. However, the limited resources and …
Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms
E Altulaihan, MA Almaiah, A Aljughaiman - Sensors, 2024 - mdpi.com
Widespread and ever-increasing cybersecurity attacks against Internet of Things (IoT)
systems are causing a wide range of problems for individuals and organizations. The IoT is …
systems are causing a wide range of problems for individuals and organizations. The IoT is …
Anomaly detection based on CNN and regularization techniques against zero-day attacks in IoT networks
The fast expansion of the Internet of Things (IoT) in the technology and communication
industries necessitates a continuously updated cyber-security mechanism to keep protecting …
industries necessitates a continuously updated cyber-security mechanism to keep protecting …
Lockedge: Low-complexity cyberattack detection in iot edge computing
Internet of Things (IoT) and its applications are becoming commonplace with more devices,
but always at risk of network security. It is therefore crucial for an IoT network design to …
but always at risk of network security. It is therefore crucial for an IoT network design to …
Anomaly detection methods for IIoT networks
IIoT networks are different from general IT networks such as office or business networks
where multiple various types of applications, protocols and traffic profiles are presented, and …
where multiple various types of applications, protocols and traffic profiles are presented, and …
Detecting anomalous IoT traffic flow with locality sensitive hashes
B Charyyev, MH Gunes - GLOBECOM 2020-2020 IEEE Global …, 2020 - ieeexplore.ieee.org
Widespread adoption of Internet of Things (IoT) devices increased the variety of devices
connected to a network. These devices have become a primary target of cyber-attacks as …
connected to a network. These devices have become a primary target of cyber-attacks as …