Performance analysis of anomaly detection of different IoT datasets using cloud micro services

N Rakesh - 2016 International Conference on Inventive …, 2016 - ieeexplore.ieee.org
Although IoT has been around us for a while, it's a new leading edge in technology which
has the ability to connect, communicate and remotely controlling devices via the internet …

Anomaly detection and privacy preservation in cloud-centric internet of things

I Butun, B Kantarci… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Internet of Things (IoT) concept provides a number of opportunities to improve our daily lives
while also creating a potential risk of increasing the vulnerability of personal information to …

Anomaly detection In IoT using machine learning algorithms

AR Arko, SH Khan, A Preety, MH Biswas - 2019 - dspace.bracu.ac.bd
Internet of Things (IoT) is growing as one of the fastest developing technologies around the
world. With IPv6 settling down, people have a lot of addressing spaces left that even allows …

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 …

Performance and accuracy trade-off analysis of techniques for anomaly detection in IoT sensors

PSS de Souza, W dos Santos Marques… - 2017 international …, 2017 - ieeexplore.ieee.org
IoT environments are typically composed of hundreds of geographically distributed sensors.
Usually, these sensors are not physically protected from unauthorized access, which makes …

LSTM-Markov based efficient anomaly detection algorithm for IoT environment

V Shanmuganathan, A Suresh - Applied Soft Computing, 2023 - Elsevier
The seamless integration of wireless and IoT device in normal day to day life and for smart
homes has enabled more security and privacy needs. The attack or unauthorized access to …

Effective anomaly detection using deep learning in IoT systems

L Aversano, ML Bernardi, M Cimitile… - Wireless …, 2021 - Wiley Online Library
Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …

Statistical technique for online anomaly detection using spark over heterogeneous data from multi-source vmware performance data

M Solaimani, M Iftekhar, L Khan… - … Conference on Big …, 2014 - ieeexplore.ieee.org
Anomaly detection refers to the identification of patterns in a dataset that do not conform to
expected patterns. Depending on the domain, the non-conformant patterns are assigned …

[HTML][HTML] IoT anomaly detection methods and applications: A survey

A Chatterjee, BS Ahmed - Internet of Things, 2022 - Elsevier
Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …

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 …