Survey of intrusion detection systems towards an end to end secure internet of things

AA Gendreau, M Moorman - … on future internet of things and …, 2016 - ieeexplore.ieee.org
The Internet of Things (IoT) is one of the largest technological evolutions of computing, by
2022 it is estimated that a trillion IP addresses (objects) will be connected to the Internet. The …

Security attacks and countermeasures on cloud assisted IoT applications

A Alsaidi, F Kausar - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
Internet of things is an emerging technology having the potential to improve the quality of
different aspects of human life. Furthermore, integration of IoT with cloud computing has …

A study on machine learning based anomaly detection approaches in wireless sensor network

RK Dwivedi, AK Rai, R Kumar - 2020 10th international …, 2020 - ieeexplore.ieee.org
Wireless sensor networks (WSN) became very popular in last few years. They are deployed
in distributed manner for collecting variety of data. There are a lot of research issues and …

Anomaly detection, analysis and prediction techniques in iot environment: A systematic literature review

M Fahim, A Sillitti - IEEE Access, 2019 - ieeexplore.ieee.org
Anomaly detection has attracted considerable attention from the research community in the
past few years due to the advancement of sensor monitoring technologies, low-cost …

Anomaly detection and monitoring in Internet of Things communication

D Stiawan, MY Idris, RF Malik… - 2016 8th …, 2016 - ieeexplore.ieee.org
The Internet of Things (IoT) presents unique challenges in detecting anomaly and
monitoring all connected devices in a network. Moreover, one of the objectives of anonymity …

Outlier detection: applications and techniques in data mining

R Bansal, N Gaur, SN Singh - 2016 6th International …, 2016 - ieeexplore.ieee.org
Outlier Detection is one of the major issues in Data Mining; finding outliers from a collection
of patterns is a popular problem in the field of data mining. An outlier is that pattern which is …

Pattern-based contextual anomaly detection in HVAC systems

M Munir, S Erkel, A Dengel… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
This paper presents detailed anomaly detection evaluation on operational time-series data
of Internet of Things (IoT) based household devices in general and Heating, Ventilation and …

Analysis of anomaly detection method for Internet of things based on deep learning

W Ma - Transactions on Emerging Telecommunications …, 2020 - Wiley Online Library
With the rapid development of the Internet of things technology, the connection between
things and people is realized in a real sense, and the intelligent perception, recognition, and …

A survey of AI-based anomaly detection in IoT and sensor networks

K DeMedeiros, A Hendawi, M Alvarez - Sensors, 2023 - mdpi.com
Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly
detection (AD). With the rapid increase in the number of Internet-connected devices, the …

Review on security and privacy concerns in Internet of Things

N Kumar, J Madhuri… - … Conference on IoT and …, 2017 - ieeexplore.ieee.org
Internet of Things (IoT) is associate degree rising conception which can interconnect billions
of devices (such as smartphones, sensors and alternative networking devices), to speak with …