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 …

A modified neuro-fuzzy classifier and its parallel implementation on modern GPUs for real time intrusion detection

N Upasani, H Om - Applied Soft Computing, 2019 - Elsevier
Abstract According to the Cisco Visual Networking Index, the annual global network traffic is
growing consistently and would reach 3.3 ZB by 2021. The percentage of attack traffic is also …

Association Rule Mining for Intrusion Detection System: A Survey

D Selvamani, V Selvi - Asian Journal of Engineering and Applied …, 2019 - ajeat.com
Many modern intrusion detection systems are based on data mining and database-centric
architecture, where a number of data mining techniques have been found. Among the most …

DDCATF: Deep Learning Approach for Detection of Cybercrime Activities Based on Temporal Features

YV Narayana, M Sreedevi - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The detection of cybercrime activities holds paramount importance in today's interconnected
digital landscape. As technology becomes more integrated into every aspect of one's lives …

A bibliometric analysis of the last ten years of fuzzy min-max neural networks

ÖN Kenger, ZD Kenger, E Özceylan - International Conference on Science …, 2022 - Springer
Neural networks have been widely used in many application areas such as power systems,
weather forecasting, face recognition, behaviour analysis, fingerprint identification …

[PDF][PDF] Breast Cancer Prediction Using Oversampling Technique, Particle Swarm Optimization, and Fuzzy Logic

KD Mahato, C Saini, SSGK Das, A Kumar, C Azad… - researchgate.net
Background: Breast cancer is one of the most devastating and prominent reasons for
women's life loss on the planet today. Therefore, the development of tools for the early …

[PDF][PDF] Intruder Detection Using Fuzzy Min-Max Neural Network and A

AF Aldubai, VH Humbe, SS Chowhan, YF Aldubai - 2017 - researchgate.net
To improve classification performance and prediction time of (IDS) system when a few
number of large hyperboxes are formed in the network. We have proposed FMM NN and …