A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework
With the prevalence of Internet of Things (IoT) systems, inconspicuous everyday household
devices are connected to the Internet, providing automation and real-time services to their …
devices are connected to the Internet, providing automation and real-time services to their …
Enhancing network forensics with particle swarm and deep learning: The particle deep framework
N Koroniotis, N Moustafa - arXiv preprint arXiv:2005.00722, 2020 - arxiv.org
The popularity of IoT smart things is rising, due to the automation they provide and its effects
on productivity. However, it has been proven that IoT devices are vulnerable to both well …
on productivity. However, it has been proven that IoT devices are vulnerable to both well …
Forensics and deep learning mechanisms for botnets in internet of things: A survey of challenges and solutions
The constant miniaturization of hardware and an increase in power efficiency, have made
possible the integration of intelligence into ordinary devices. This trend of augmenting so …
possible the integration of intelligence into ordinary devices. This trend of augmenting so …
Towards deep-learning-driven intrusion detection for the internet of things
G Thamilarasu, S Chawla - Sensors, 2019 - mdpi.com
Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices,
applications, and communication networks are becoming increasingly connected and …
applications, and communication networks are becoming increasingly connected and …
Towards developing network forensic mechanism for botnet activities in the IoT based on machine learning techniques
The IoT is a network of interconnected everyday objects called “things” that have been
augmented with a small measure of computing capabilities. Lately, the IoT has been affected …
augmented with a small measure of computing capabilities. Lately, the IoT has been affected …
Design of intrusion detection system based on cyborg intelligence for security of cloud network traffic of smart cities
Abstract The Internet of things (IoT) is an important technology that is highly beneficial in
establishing smart items, connections and cities. However, there are worries regarding …
establishing smart items, connections and cities. However, there are worries regarding …
Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset
The proliferation of IoT systems, has seen them targeted by malicious third parties. To
address this challenge, realistic protection and investigation countermeasures, such as …
address this challenge, realistic protection and investigation countermeasures, such as …
Deep-learning based detection for cyber-attacks in IoT networks: A distributed attack detection framework
The widespread use of smart devices and the numerous security weaknesses of networks
has dramatically increased the number of cyber-attacks in the internet of things (IoT) …
has dramatically increased the number of cyber-attacks in the internet of things (IoT) …
Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey
The Internet of Things (IoT) has emerged as a technology capable of connecting
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily …
[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 …
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