An effective intrusion detection approach using SVM with naïve Bayes feature embedding

J Gu, S Lu - Computers & Security, 2021 - Elsevier
Network security has become increasingly important in recent decades, while intrusion
detection system plays a critical role in protecting it. Various machine learning techniques …

Intrusion detection in industrial internet of things network‐based on deep learning model with rule‐based feature selection

JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …

A systemic IoT–fog–cloud architecture for big-data analytics and cyber security systems: A review of fog computing

N Moustafa - Secure Edge Computing, 2021 - taylorfrancis.com
With the rapid growth of the Internet of Things (IoT), current Cloud systems face various
drawbacks such as lack of mobility support, location-awareness, geo-distribution, high …

Privacy-preserving schemes for safeguarding heterogeneous data sources in cyber-physical systems

M Keshk, B Turnbull, E Sitnikova, D Vatsalan… - IEEE …, 2021 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) underpin global critical infrastructure, including power,
water, gas systems and smart grids. CPS, as a technology platform, is unique as a target for …

Research on intrusion detection based on particle swarm optimization in IoT

J Liu, D Yang, M Lian, M Li - IEEE Access, 2021 - ieeexplore.ieee.org
With the advent of the “Internet plus” era, the Internet of Things (IoT) is gradually penetrating
into various fields, and the scale of its equipment is also showing an explosive growth trend …

Analysis of intruder detection in big data analytics

KM Sudar, P Nagaraj, P Deepalakshmi… - 2021 International …, 2021 - ieeexplore.ieee.org
Network security and data security is gaining vital importance as the usage of applications
on computer networks evolving now-a-days. Tremendous increase of data usage on real …

Anomaly detection in encrypted internet traffic using hybrid deep learning

T Bakhshi, B Ghita - Security and Communication Networks, 2021 - Wiley Online Library
An increasing number of Internet application services are relying on encrypted traffic to offer
adequate consumer privacy. Anomaly detection in encrypted traffic to circumvent and …

DADEM: Distributed attack detection model based on big data analytics for the enhancement of the security of internet of things (IoT)

HI Ahmed, AA Nasr, SM Abdel-Mageid… - International Journal of …, 2021 - igi-global.com
Abstract Nowadays, Internet of Things (IoT) is considered as part our lives and it includes
different aspects-from wearable devices to smart devices used in military applications. IoT …

Application of deep learning for quality of service enhancement in internet of things: A review

N Kimbugwe, T Pei, MN Kyebambe - Energies, 2021 - mdpi.com
The role of the Internet of Things (IoT) networks and systems in our daily life cannot be
underestimated. IoT is among the fastest evolving innovative technologies that are digitizing …

Enhanced network intrusion detection system

K Kotecha, R Verma, PV Rao, P Prasad, VK Mishra… - Sensors, 2021 - mdpi.com
A reasonably good network intrusion detection system generally requires a high detection
rate and a low false alarm rate in order to predict anomalies more accurately. Older datasets …