Anomaly detection in aging industrial internet of things

B Genge, P Haller, C Enăchescu - IEEE Access, 2019 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) have been designed to perform a more agile and
efficient automation, control, and orchestration of future industrial systems while improving …

Detection of Mirai Botnet Attacks on IoT devices Using Deep Learning

A Sharma, V Mansotra, K Singh - Journal of Scientific Research and …, 2023 - jsrtjournal.com
Abstract The Internet of Things is a staple in the workplace, especially in the fields of office
automation (OA) and operational technology (OT). As a consequence, businesses may set …

HADES-IoT: A practical and effective host-based anomaly detection system for IoT devices (extended version)

D Breitenbacher, I Homoliak, YL Aung… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) devices have become ubiquitous, with applications in many domains,
including industry, transportation, and healthcare; these devices also have many household …

Intrusion detection and prevention in Industrial IoT: A technological survey

FF Alruwaili - 2021 International Conference on Electrical …, 2021 - ieeexplore.ieee.org
With the increased and rapid advancement in the global development of the smart industry,
cybersecurity challenges have become an important growth factor to the success of the …

Anatomy of threats to the internet of things

I Makhdoom, M Abolhasan, J Lipman… - … surveys & tutorials, 2018 - ieeexplore.ieee.org
The world is resorting to the Internet of Things (IoT) for ease of control and monitoring of
smart devices. The ubiquitous use of IoT ranges from industrial control systems (ICS) to e …

Detecting internet of things bots: A comparative study

B Stephens, A Shaghaghi, R Doss, SS Kanhere - IEEE Access, 2021 - ieeexplore.ieee.org
Since the Mirai botnet attacks in 2016 research into the Internet of Things (IoT) botnet
malware has increased substantially. IoT botnet relevant threats continue to rise, impacting …

[HTML][HTML] A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms

A Diro, N Chilamkurti, VD Nguyen, W Heyne - Sensors, 2021 - mdpi.com
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …

Passban IDS: An intelligent anomaly-based intrusion detection system for IoT edge devices

M Eskandari, ZH Janjua, M Vecchio… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Cyber-threat protection is today's one of the most challenging research branches of
information technology, while the exponentially increasing number of tiny, connected …

Securing industrial internet of things against botnet attacks using hybrid deep learning approach

T Hasan, J Malik, I Bibi, WU Khan… - … on Network Science …, 2022 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) formation of a richer ecosystem of intelligent,
interconnected devices while enabling new levels of digital innovation has transformed and …

Deep learning enabled intrusion detection system for Industrial IOT environment

H Nandanwar, R Katarya - Expert Systems with Applications, 2024 - Elsevier
The prevalence of security vulnerabilities in Internet of Things (IoT) applications poses a
serious threat to enterprise systems, necessitating sophisticated and reliable defense …