Survey of intrusion detection systems: techniques, datasets and challenges

A Khraisat, I Gondal, P Vamplew, J Kamruzzaman - Cybersecurity, 2019 - Springer
Cyber-attacks are becoming more sophisticated and thereby presenting increasing
challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade …

The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set

N Moustafa, J Slay - Information Security Journal: A Global …, 2016 - Taylor & Francis
Over the last three decades, Network Intrusion Detection Systems (NIDSs), particularly,
Anomaly Detection Systems (ADSs), have become more significant in detecting novel …

[HTML][HTML] Comparison of classification techniques applied for network intrusion detection and classification

ASA Aziz, EL Sanaa, AE Hassanien - Journal of Applied Logic, 2017 - Elsevier
In a previous research, a multi-agent artificial immune system for network intrusion detection
and classification was proposed and tested, where a multi-layer detection and classification …

A botnets circumspection: The current threat landscape, and what we know so far

EC Ogu, OA Ojesanmi, O Awodele, S Kuyoro - Information, 2019 - mdpi.com
Botnets have carved a niche in contemporary networking and cybersecurity due to the
impact of their operations. The botnet threat continues to evolve and adapt to …

Urban tree species identification and carbon stock mapping for urban green planning and management

MAM Choudhury, E Marcheggiani, F Despini… - Forests, 2020 - mdpi.com
Recently, the severe intensification of atmospheric carbon has highlighted the importance of
urban tree contributions in atmospheric carbon mitigations in city areas considering …

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 …

Creating novel features to anomaly network detection using DARPA-2009 data set

N Moustaf, J Slay - … of the 14th European Conference on Cyber …, 2015 - books.google.com
The increased usage of Internet, E-business, and social network enables attack behaviour
with diverse fashions. A Network Intrusion Detection System (NIDS) is software which can …

Developing a network attack detection system using deep learning

B Alsughayyir, AM Qamar… - … Conference on Computer …, 2019 - ieeexplore.ieee.org
With the development of networks, the number of network attacks is increasing
exponentially. The need for a network security system is becoming more and more important …

A hybrid intrusion detection method based on improved fuzzy C-means and support vector machine

Z Zhang, P Pan - 2019 International conference on …, 2019 - ieeexplore.ieee.org
Currently, Intrusion Detection System (IDS) is an essential component of network security,
which can detect abnormal access data or attacks. Misuse detection or anomaly detection is …

A hybrid method for intrusion detection

Y Canbay, S Sagiroglu - 2015 IEEE 14th International …, 2015 - ieeexplore.ieee.org
Intrusion Detection Systems (IDSs) are used to detect malicious actions on information
systems such as computing and networking systems. Abnormal behaviors or activities on the …