Cyber security using machine learning: techniques and business applications

A Gupta, R Gupta, G Kukreja - Applications of Artificial Intelligence in …, 2021 - Springer
Abstract Machine learning has become an imperative innovation for cybersecurity. It
preemptively gets rid of digital dangers and supports security foundation utilizing different …

Machine learning in cybersecurity: Techniques and challenges

J Bharadiya - European Journal of Technology, 2023 - ajpojournals.org
In the computer world, data science is the force behind the recent dramatic changes in
cybersecurity's operations and technologies. The secret to making a security system …

Grand challenge: Applying artificial intelligence and machine learning to cybersecurity

K Bresniker, A Gavrilovska, J Holt, D Milojicic… - Computer, 2019 - ieeexplore.ieee.org
Cybersecurity is a key risk for any business as the number of attacks are increasing.
Growing attacks on cybersecurity are threatening our existence. Artificial Intelligence (AI) …

Applications of machine learning in cyber security

C Virmani, T Choudhary, A Pillai… - Handbook of research on …, 2020 - igi-global.com
With the exponential rise in technological awareness in the recent decades, technology has
taken over our lives for good, but with the application of computer-aided technological …

An appraisal of cyber-attacks and countermeasures using machine learning algorithms

A Mummadi, BMK Yadav, R Sadhwika… - … Conference on Artificial …, 2021 - Springer
In this computerized era, cyber-attacks have turned quite common. Every year, the number
of cyber-attacks escalates, and so does the austerity of the harm. In today's digital …

Machine learning techniques applied to cybersecurity

J Martínez Torres, C Iglesias Comesaña… - International Journal of …, 2019 - Springer
Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …

[图书][B] Machine learning approaches in cyber security analytics

T Thomas, AP Vijayaraghavan, S Emmanuel - 2020 - Springer
With an overwhelming amount of data being generated and transferred over various
networks, cybersecurity experts are having a hard time in monitoring everything that gets …

[PDF][PDF] Security and privacy in machine learning: A survey.

GS Kuntla, X Tian, Z Li - Issues in Information Systems, 2021 - pdfs.semanticscholar.org
Abstract Machine Learning has received its attention over the past decade in the security
and privacy related applications. The information is enormous, and manual working on data …

Toward an exhaustive review on Machine Learning for Cybersecurity

H Bahassi, N Edddermoug, A Mansour… - Procedia Computer …, 2022 - Elsevier
Cyber-attacks are becoming more and more multiple and sophisticated, Causing profound
consequences on humans and their organization. This has led researchers and specialists …

[HTML][HTML] Uniting cyber security and machine learning: Advantages, challenges and future research

M Wazid, AK Das, V Chamola, Y Park - ICT express, 2022 - Elsevier
Abstract Machine learning (ML) is a subset of Artificial Intelligence (AI), which focuses on the
implementation of some systems that can learn from the historical data, identify patterns and …