IoT data feature extraction and intrusion detection system for smart cities based on deep migration learning

D Li, L Deng, M Lee, H Wang - International journal of information …, 2019 - Elsevier
With the development of information technology and economic growth, the Internet of Things
(IoT) industry has also entered the fast lane of development. The IoT industry system has …

High level information fusion for tracking and projection of multistage cyber attacks

SJ Yang, A Stotz, J Holsopple, M Sudit, M Kuhl - Information Fusion, 2009 - Elsevier
The use of computer networks has become a necessity for government, industry, and
personal businesses. Protection and defense against cyber attacks on computer networks …

A deep learning method with filter based feature engineering for wireless intrusion detection system

SM Kasongo, Y Sun - IEEE access, 2019 - ieeexplore.ieee.org
In recent years, the increased use of wireless networks for the transmission of large volumes
of information has generated a myriad of security threats and privacy concerns; …

A hierarchical deep learning-based intrusion detection architecture for clustered internet of things

R Elsayed, R Hamada, M Hammoudeh… - Journal of Sensor and …, 2022 - mdpi.com
The Internet of Things (IoT) system's ever-expanding attack surface calls for a new intrusion
detection system (IDS). These systems may include thousands of wireless devices that need …

An improved LDA-based ELM classification for intrusion detection algorithm in IoT application

D Zheng, Z Hong, N Wang, P Chen - Sensors, 2020 - mdpi.com
The Internet of Things (IoT) is widely applied in modern human life, eg, smart home and
intelligent transportation. However, it is vulnerable to malicious attacks, and the current …

An integrated intrusion detection system for cluster-based wireless sensor networks

SS Wang, KQ Yan, SC Wang, CW Liu - Expert Systems with Applications, 2011 - Elsevier
A Wireless Sensor Network (WSN) consists of many low-cost, small devices. Usually, as they
are deployed to an open and unprotected region, they are vulnerable to various types of …

Intrusion detection system using deep learning for in-vehicle security

J Zhang, F Li, H Zhang, R Li, Y Li - Ad Hoc Networks, 2019 - Elsevier
With the development of vehicle intelligence technology, the combination of network and
vehicle becomes inevitable, which brings much convenience to people. At the same time …

Sample selected extreme learning machine based intrusion detection in fog computing and MEC

X An, X Zhou, X Lü, F Lin, L Yang - … and Mobile Computing, 2018 - Wiley Online Library
Fog computing, as a new paradigm, has many characteristics that are different from cloud
computing. Due to the resources being limited, fog nodes/MEC hosts are vulnerable to …

Firefly algorithm based WSN-IoT security enhancement with machine learning for intrusion detection

M Karthikeyan, D Manimegalai, K RajaGopal - Scientific Reports, 2024 - nature.com
Abstract A Wireless Sensor Network (WSN) aided by the Internet of Things (IoT) is a
collaborative system of WSN systems and IoT networks are work to exchange, gather, and …

A systematic and comprehensive survey of recent advances in intrusion detection systems using machine learning: Deep learning, datasets, and attack taxonomy

A Momand, SU Jan, N Ramzan - Journal of Sensors, 2023 - Wiley Online Library
Recently, intrusion detection systems (IDS) have become an essential part of most
organisations' security architecture due to the rise in frequency and severity of network …