Computational system to classify cyber crime offenses using machine learning

R Ch, TR Gadekallu, MH Abidi, A Al-Ahmari - Sustainability, 2020 - mdpi.com
Particularly in the last decade, Internet usage has been growing rapidly. However, as the
Internet becomes a part of the day to day activities, cybercrime is also on the rise …

Cyber-attack method and perpetrator prediction using machine learning algorithms

A Bilen, AB Özer - PeerJ Computer Science, 2021 - peerj.com
Cyber-attacks have become one of the biggest problems of the world. They cause serious
financial damages to countries and people every day. The increase in cyber-attacks also …

Cybercrime classification and characteristics

H Jahankhani, A Al-Nemrat… - Cyber crime and cyber …, 2014 - Elsevier
Over the last two decades, businesses, consumers, and governments around the globe
have moved into cyberspace and cloud environment in order to conduct their businesses …

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 …

Cyber-attack scoring model based on the offensive cybersecurity framework

K Kim, FA Alfouzan, H Kim - Applied Sciences, 2021 - mdpi.com
Cyber-attacks have become commonplace in the world of the Internet. The nature of cyber-
attacks is gradually changing. Early cyber-attacks were usually conducted by curious …

Comprehensive review of cybercrime detection techniques

WA Al-Khater, S Al-Maadeed, AA Ahmed… - IEEE …, 2020 - ieeexplore.ieee.org
Cybercrimes are cases of indictable offences and misdemeanors that involve computers or
communication tools as targets and commission instruments or are associated with the …

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

T Thomas, AP Vijayaraghavan, S Emmanuel - 2019 - Springer
This book introduces various machine learning methods for cyber security analytics. With an
overwhelming amount of data being generated and transferred over various networks …

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 …

[PDF][PDF] A review on cyber security and the fifth generation cyberattacks

A Saravanan, SS Bama - Oriental journal of computer …, 2019 - computerscijournal.org
Cyberattacks has become quite common in this internet era. The cybercrimes are getting
increased every year and the intensity of damage is also increasing. providing security …

[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 …