A comprehensive systematic literature review on intrusion detection systems
Effectively detecting intrusions in the computer networks still remains problematic. This is
because cyber attackers are changing packet contents to disguise the intrusion detection …
because cyber attackers are changing packet contents to disguise the intrusion detection …
A critical review of practices and challenges in intrusion detection systems for IoT: Toward universal and resilient systems
E Benkhelifa, T Welsh… - … communications surveys & …, 2018 - ieeexplore.ieee.org
The Internet-of-Things (IoT) is rapidly becoming ubiquitous. However the heterogeneous
nature of devices and protocols in use, the sensitivity of the data contained within, as well as …
nature of devices and protocols in use, the sensitivity of the data contained within, as well as …
WSN‐DS: a dataset for intrusion detection systems in wireless sensor networks
Wireless Sensor Networks (WSN) have become increasingly one of the hottest research
areas in computer science due to their wide range of applications including critical military …
areas in computer science due to their wide range of applications including critical military …
[HTML][HTML] Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …
increase of network data and placed a high computation complexity across various …
An enhanced grey wolf optimizer based particle swarm optimizer for intrusion detection system in wireless sensor networks
The intrusion detection system is a method for detection against attacks, making it one of the
essential defense layers. Researchers are trying to find new algorithms to inspect all …
essential defense layers. Researchers are trying to find new algorithms to inspect all …
Kalis—A system for knowledge-driven adaptable intrusion detection for the Internet of Things
In this paper, we introduce Kalis, a self-adapting, knowledge-driven expert Intrusion
Detection System able to detect attacks in real time across a wide range of IoT systems …
Detection System able to detect attacks in real time across a wide range of IoT systems …
[PDF][PDF] Role of machine learning algorithms intrusion detection in WSNs: a survey
E Baraneetharan - Journal of Information Technology, 2020 - scholar.archive.org
Abstract Machine Learning is capable of providing real-time solutions that maximize the
utilization of resources in the network thereby increasing the lifetime of the network. It is able …
utilization of resources in the network thereby increasing the lifetime of the network. It is able …
Optimized sugeno fuzzy clustering algorithm for wireless sensor networks
M Shokouhifar, A Jalali - Engineering applications of artificial intelligence, 2017 - Elsevier
Clustering is the most common approach to achieve energy efficiency in wireless sensor
networks. The existing clustering techniques exhibit some drawbacks which limit their usage …
networks. The existing clustering techniques exhibit some drawbacks which limit their usage …
Secure routing with multi-watchdog construction using deep particle convolutional model for IoT based 5G wireless sensor networks
Fifth Generation (5G) security principles are widely expected with effective cryptography
models, information security models, Machine Learning (ML) based Intrusion Detection …
models, information security models, Machine Learning (ML) based Intrusion Detection …
Distributed localization: A linear theory
Fifth-generation (5G) networks providing much higher bandwidth and faster data rates will
allow connecting vast number of stationary and mobile devices, sensors, agents, users …
allow connecting vast number of stationary and mobile devices, sensors, agents, users …