Review of KDD Cup '99, NSL-KDD and Kyoto 2006+ datasets

DD Protić - Vojnotehnički glasnik/Military Technical Courier, 2018 - aseestant.ceon.rs
Sažetak U radu je prikazan pregled tri baze podataka: KDD Cup '99, NSL-KDD i Kyoto
2006+, koje se često koriste u istraživanju detekcije upada u računarske mreže. KDD Cup …

Cyber attack detection dataset: A review

NNM Yusof, NS Sulaiman - Journal of Physics: Conference …, 2022 - iopscience.iop.org
As cyber attack become more complicated, it becomes more difficult to identify breaches
successfully. The inability to identify intrusions might jeopardize security services' …

A machine learning model for air quality prediction for smart cities

U Mahalingam, K Elangovan, H Dobhal… - 2019 International …, 2019 - ieeexplore.ieee.org
Air quality of a certain region can be used as one of the major factor determining pollution
index also how well the city's industries and population is managed. Urban air quality …

Design and development of an efficient network intrusion detection system using machine learning techniques

T Rincy N, R Gupta - Wireless Communications and Mobile …, 2021 - Wiley Online Library
Today's internets are made up of nearly half a million different networks. In any network
connection, identifying the attacks by their types is a difficult task as different attacks may …

[Retracted] Assessment and Test‐case Study of Wi‐Fi Security through the Wardriving Technique

VO Etta, A Sari, AL Imoize, PK Shukla… - Mobile Information …, 2022 - Wiley Online Library
This study aims to investigate Wireless Local Area Network (WLAN) within the context of its
applicability as a 21st‐century business tool and its survivability in a security threat‐infested …

An efficient feature subset selection approach for machine learning

R Gupta - Multimedia tools and applications, 2021 - Springer
This literature introduces CAPPER, an efficient hybrid feature subset selection approach
which is the combination of feature subsets from the Correlation-based feature selection …

Data preprocessing for intrusion detection system using encoding and normalization approaches

MS Yadav, R Kalpana - 2019 11th International Conference on …, 2019 - ieeexplore.ieee.org
This work presents a data preparation and data preprocessing framework to support deep
learning and network security experts in producing qualitative data for empirical …

Deep learning approaches to intrusion detection: A new performance of ANN and RNN on NSL-KDD

N Chaibi, B Atmani, M Mokaddem - Proceedings of the 1st International …, 2020 - dl.acm.org
In recent years, Cyber Security has become a major concern in scientific research. Machine
Learning (ML) and Deep Learning (DL) methods detect intrusions and attacks on the …

[PDF][PDF] Detection and classification of covert channels in IPv6 using enhanced machine learning

A Salih, X Ma, E Peytchev - 2015 - irep.ntu.ac.uk
Zero day Cyber-attacks created potential impacts on the way information is held and
protected, however one of the vital priorities for governments, agencies and organizations is …

XSS detection using hybrid machine learning methods

NK Albusalih, RJ Aljanabi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Nowadays, the increased use of Web services has resulted in a rise in the danger of web
application attacks. These types of attacks are become more severe by the day. Intrusion …