A Detailed Review of the IoT with Detection of Sinkhole Attacks in RPL based network

J Rani, A Dhingra, V Sindhu - 2022 International Conference …, 2022 - ieeexplore.ieee.org
The “Internet of Things”(IoT) is internetworking of physical devices known as' things',
algorithms, equipment and techniques that allow communication with another device …

Rank and wormhole attack detection model for RPL-based internet of things using machine learning

F Zahra, NZ Jhanjhi, SN Brohi, NA Khan, M Masud… - Sensors, 2022 - mdpi.com
The proliferation of the internet of things (IoT) technology has led to numerous challenges in
various life domains, such as healthcare, smart systems, and mission-critical applications …

IoT routing attacks detection using machine learning algorithms

S Rabhi, T Abbes, F Zarai - Wireless Personal Communications, 2023 - Springer
Abstract Internet of Things (IoT) is a concept that aims to make the real world more intelligent
but susceptible to various attacks. In this paper, we focus on wireless sensor networks …

A novel and secure attacks detection framework for smart cities industrial internet of things

KN Qureshi, SS Rana, A Ahmed, G Jeon - Sustainable Cities and Society, 2020 - Elsevier
New trend of smart cities has changed the life with more equipped and integrated systems.
Various new technologies have adopted for sustainable and improved smart cities …

A trust based mechanism to combat blackhole attack in RPL protocol

N Bhalaji, KS Hariharasudan, K Aashika - ICICCT 2019–System Reliability …, 2020 - Springer
This article deals with a prime security attack-blackhole attack in Internet of Things networks
that uses the RPL in the network layer for routing of data packets. Latest studies indicate that …

Deep learning for detection of routing attacks in the internet of things

FY Yavuz, D Ünal, E Gül - International Journal of Computational …, 2018 - Springer
Cyber threats are a showstopper for Internet of Things (IoT) has recently been used at an
industrial scale. Network layer attacks on IoT can cause significant disruptions and loss of …

Machine Learning Based Intrusion Detection in IoT Network Using MLP and LSTM

Y Shewale, S Kumar, S Banait - … of Intelligent Systems and Applications in …, 2023 - ijisae.org
Each network's security design must include an intrusion detection system. Monitoring and
analysing network traffic is its main purpose in order to spot and halt hazardous activities …

A multi-level random forest model-based intrusion detection using fuzzy inference system for internet of things networks

JB Awotunde, FE Ayo, R Panigrahi, A Garg… - International Journal of …, 2023 - Springer
Intrusion detection (ID) methods are security frameworks designed to safeguard network
information systems. The strength of an intrusion detection method is dependent on the …

An intelligent intrusion detection system for internet of things attack detection and identification using machine learning

TS Othman, SM Abdullah - aro-the scientific journal of …, 2023 - eprints.koyauniversity.org
The usability and scalability of Internet of things (IoT) technology are expanding in such a
way that they facilitate human living standards. However, they increase the vulnerabilities …

A review on network intrusion detection system using machine learning

T Rupa Devi, S Badugu - International Conference on E-Business and …, 2019 - Springer
After digital revolution, large amount of data are produced from diverse networks from time to
time. Hence security of this data is more important. So, there is a need to automate this …