Grey wolf based feature reduction for intrusion detection in WSN using LSTM

S Karthic, S Manoj Kumar… - International Journal of …, 2022 - Springer
In the recent days all the digital devices including devices used in Healthcare, Personal
Digital Assistance etc. are connected to the network, consequently data is exposed to …

Intrusion detection system based on a modified binary grey wolf optimisation

QM Alzubi, M Anbar, ZNM Alqattan, MA Al-Betar… - Neural computing and …, 2020 - Springer
One critical issue within network security refers to intrusion detection. The nature of intrusion
attempts appears to be nonlinear, wherein the network traffic performance is unpredictable …

[PDF][PDF] Evaluation of machine learning algorithms for intrusion detection system in WSN

MS Alsahli, MM Almasri, M Al-Akhras… - … Journal of Advanced …, 2021 - researchgate.net
Technology has revolutionized into connecting “things” together with the rebirth of the global
network called Internet of Things (IoT). This is achieved through Wireless Sensor Network …

A framework for detection of cyber attacks by the classification of intrusion detection datasets

D Srivastava, R Singh, C Chakraborty… - Microprocessors and …, 2024 - Elsevier
Recognition of the consequence for advanced tools and techniques to secure the network
infrastructure from the security risks has prompted the advancement of many machine …

Intrusion detection based on key feature selection using binary GWO

JK Seth, S Chandra - 2016 3rd international conference on …, 2016 - ieeexplore.ieee.org
Today's computing are network based computing. Intrusion security is one of the major
challenges of such computing facilities that have to deal with every time without …

Intrusion detection technique in wireless sensor network using grid search random forest with Boruta feature selection algorithm

S Subbiah, KSM Anbananthen… - Journal of …, 2022 - ieeexplore.ieee.org
Attacks in wireless sensor networks (WSNs) aim to prevent or eradicate the network's ability
to perform its anticipated functions. Intrusion detection is a defense used in wireless sensor …

[PDF][PDF] Detection of accuracy for intrusion detection system using neural network classifier

S Devaraju, S Ramakrishnan - Int. J. Emerg. Technol. Adv. Eng, 2013 - Citeseer
In recent years, the security has become a critical part of any industrial and organizational
information systems. The intrusion detection system is an effective approach to deal with the …

[PDF][PDF] A hybrid intrusion detection system based on different machine learning algorithms

K Atefi, S Yahya, AY Dak, A Atefi - Proceedings of the 4th …, 2013 - academia.edu
Recently, Networks have developed quickly during the last many years, and attacks on
network infrastructure presently are main threats against network and information security …

[HTML][HTML] A novel optimized probabilistic neural network approach for intrusion detection and categorization

N Omer, AH Samak, AI Taloba… - Alexandria Engineering …, 2023 - Elsevier
Nowadays, the web provides all of the nation's daily necessities, and time spent online is
rising quickly. The Internet is being used more widely than ever. As a result, cyberattacks …

[PDF][PDF] A feed-forward and pattern recognition ANN model for network intrusion detection

A Iqbal, S Aftab - International Journal of Computer Network and …, 2019 - researchgate.net
Network security is an essential element in the day-to-day IT operations of nearly every
organization in business. Securing a computer network means considering the threats and …