Cyber threat detection using machine learning techniques: A performance evaluation perspective

K Shaukat, S Luo, S Chen, D Liu - … international conference on …, 2020 - ieeexplore.ieee.org
The present-day world has become all dependent on cyberspace for every aspect of daily
living. The use of cyberspace is rising with each passing day. The world is spending more …

A survey on the role of artificial intelligence, machine learning and deep learning for cybersecurity attack detection

A Salih, ST Zeebaree, S Ameen… - … & Innovation amid …, 2021 - ieeexplore.ieee.org
With the growing internet services, cybersecurity becomes one of the major research
problems of the modern digital era. Cybersecurity involves techniques to protect and control …

The future of cybersecurity: Major role of artificial intelligence, machine learning, and deep learning in cyberspace

B Geluvaraj, PM Satwik, TA Ashok Kumar - International Conference on …, 2019 - Springer
Artificial intelligence (AI), and in particular machine learning (ML), deep learning (DL) has
seen huge pace in recent years and is now set to really start influencing all aspects of …

[HTML][HTML] Performance comparison and current challenges of using machine learning techniques in cybersecurity

K Shaukat, S Luo, V Varadharajan, IA Hameed, S Chen… - Energies, 2020 - mdpi.com
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …

Intrusion detection system using machine learning techniques: A review

US Musa, M Chhabra, A Ali… - … international conference on …, 2020 - ieeexplore.ieee.org
The rapid growth in the use of computer networks results in the issues of maintaining the
network availability, integrity, and confidentiality. This necessitates the network …

Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study

MA Ferrag, L Maglaras, S Moschoyiannis… - Journal of Information …, 2020 - Elsevier
In this paper, we present a survey of deep learning approaches for cyber security intrusion
detection, the datasets used, and a comparative study. Specifically, we provide a review of …

On the effectiveness of machine and deep learning for cyber security

G Apruzzese, M Colajanni, L Ferretti… - … conference on cyber …, 2018 - ieeexplore.ieee.org
Machine learning is adopted in a wide range of domains where it shows its superiority over
traditional rule-based algorithms. These methods are being integrated in cyber detection …

Analysis of cyberattacks and its detection mechanisms

KM Sudar, P Deepalakshmi, P Nagaraj… - … on Research in …, 2020 - ieeexplore.ieee.org
With the help of Internet, there are tremendous innovations and developments in
technologies. Most of the business organizations are forced to use the flexible and modern …

[PDF][PDF] Calibration of various optimized machine learning classifiers in network intrusion detection system on the realistic cyber dataset CSE-CIC-IDS2018 using cloud …

V Kanimozhi, TP Jacob - … Journal of Engineering Applied Sciences and …, 2019 - ijeast.com
Our paramount task is to examine and detect network attacks that are one of the daunting
tasks because the variety of attacks are day by day existing in colossal number. The …

Cyber security threats detection in internet of things using deep learning approach

F Ullah, H Naeem, S Jabbar, S Khalid, MA Latif… - IEEE …, 2019 - ieeexplore.ieee.org
The IoT (Internet of Things) connect systems, applications, data storage, and services that
may be a new gateway for cyber-attacks as they continuously offer services in the …