Benchmarking of machine learning for anomaly based intrusion detection systems in the CICIDS2017 dataset

ZK Maseer, R Yusof, N Bahaman, SA Mostafa… - IEEE …, 2021 - ieeexplore.ieee.org
An intrusion detection system (IDS) is an important protection instrument for detecting
complex network attacks. Various machine learning (ML) or deep learning (DL) algorithms …

Intrusion detection in VANETs

I Naqvi, A Chaudhary, A Rana - 2021 9th International …, 2021 - ieeexplore.ieee.org
Vehicular Ad hoc Networks commonly abbreviated as VANETs, are an important component
of MANET. VANET refers to the group of vehicles that are interlinked to one another through …

Comprehensive Examination of Network Intrusion Detection Models on Data Science

V Bhatnagar - … Journal of Information Retrieval Research (IJIRR), 2021 - igi-global.com
The increased requirement of data science in recent times has given rise to the concept of
data security, which has become a major issue; thus, the amalgamation of data science …