HADS: Hybrid anomaly detection system for IoT environments

P Bhatt, A Morais - 2018 international conference on internet of …, 2018 - ieeexplore.ieee.org
IoT (Internet of Things) devices are rapidly becoming popular in residential environments,
but security is still a big concern in this ecosystem. The fast growth of IoT devices in homes …

Design and implementation of a hybrid anomaly detection system for IoT

A Ayad, A Zamani, A Schmeink… - 2019 Sixth International …, 2019 - ieeexplore.ieee.org
In recent years, the dramatic increase in the number of devices has empowered the Internet
of Things (IoT). Unfortunately though, IoT networks are susceptible to cyberattacks, due to …

Anomaly-based intrusion detection approach for IoT networks using machine learning

P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …

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 …

Combining statistical and machine learning techniques in IoT anomaly detection for smart homes

G Spanos, KM Giannoutakis, K Votis… - 2019 IEEE 24th …, 2019 - ieeexplore.ieee.org
In this paper, a security solution is proposed for IoT smart homes based on constructing
behavioral device templates. These templates are being calculated by combining statistical …

Anomaly detection on iot network intrusion using machine learning

Z Liu, N Thapa, A Shaver, K Roy, X Yuan… - … intelligence, big data …, 2020 - ieeexplore.ieee.org
Enhancing the security of IoT networks is trending as one of the most crucial issues the
information technology community faces. With large scales of IoT devices being developed …

A deep lstm based approach for intrusion detection iot devices network in smart home

SW Azumah, N Elsayed, V Adewopo… - 2021 IEEE 7th World …, 2021 - ieeexplore.ieee.org
The technological advancement of the Internet of Things (IoT) devices in our world today has
become beneficial to many users but has security issues that are left unattended. IoT …

A lightweight cyber-security defense framework for smart homes

G Spanos, KM Giannoutakis, K Votis… - … on INnovations in …, 2020 - ieeexplore.ieee.org
Inevitably, the explosion of the Internet of Things (IoT) has alerted the modern human life.
Apart from the benefits that this new technology offers to the users of the IoT devices, there …

Ensemble learning for detecting attacks and anomalies in IoT smart home

S Khare, M Totaro - 2020 3rd international conference on data …, 2020 - ieeexplore.ieee.org
The expansion of the Internet of Things (IoT) has also given rise to an increasing number of
destructive attacks that pose severe threats to exposed IoT devices. As such, IoT …

IoT network anomaly detection in smart homes using machine learning

N Sarwar, IS Bajwa, MZ Hussain, M Ibrahim… - IEEE …, 2023 - ieeexplore.ieee.org
In this modern age of technology, the Internet of Things has covered all aspects of life
including smart situations, smart homes, and smart spaces. Smart homes have a large …