Cybercrime detection using semi-supervised neural network

K Karimi, S Abbasabadei, JA Torkestani… - … Science Journal of …, 2021 - ibn.idsi.md
Nowadays, artificial intelligence is widely used in various fields and industries. Cybercrime
is a concern of these days, and artificial intelligence is used to detect this type of crime …

Cyber-Crime Detection: Experimental Techniques Comparison Analysis

EF Aljarboua, MBM Din… - … Informatics and Technology …, 2022 - ieeexplore.ieee.org
Cyber-crime is one of the main problems the world face, and machine learning plays a key
part in contemporary operating systems for giving better transformation in the security …

Intrusion detection system using semi-supervised machine learning

KA Parmar, D Rathod, MB Nayak - Data Science and Intelligent …, 2021 - Springer
Network security possibly will be a dominant side of net arrangements within the virtuoso
world state. Because the net hold onto developing the book of security attacks equally as …

[PDF][PDF] Adaboost and SVM based cybercrime detection and prevention model.

HM Deylami, YP Singh - Artif. Intell. Res., 2012 - researchgate.net
This paper aims to propose cybercrime detection and prevention model by using Support
Vector Machine (SVM) and AdaBoost algorithm in order to reduce data damaging due to …

A Review of the Application of Artificial Intelligence in Criminal Investigation

Y Du, S Lin, H Lv, X Liu, N Ding - 2022 3rd International …, 2022 - atlantis-press.com
In recent years, new types of crimes have emerged, posing a great threat to the safety of
communities and citizens. Traditional criminal investigation measures are too passive and …

[PDF][PDF] Building a learning machine classifier with inadequate data for crime prediction

TT Nguyen, A Hatua, AH Sung - Journal of Advances in …, 2017 - pdfs.semanticscholar.org
In this paper, we describe a crime predicting method which forecasts the types of crimes that
will occur based on location and time. In the proposed method the crime forecasting is done …

[PDF][PDF] Crime Detection Approach Using Big Data Analytics and Machine Learning

SS Kshatri, D Bhonsle, R Verma, AG Pillai… - …, 2022 - researchgate.net
Abstract The Crime Analysis phase establishes the number of crimes and other elements
such as the type of crime, murder, rape, kidnapping, etc. Various data analytics …

Effective semi-supervised approach towards intrusion detection system using machine learning techniques

SK Wagh, SR Kolhe - International Journal of Electronic …, 2015 - inderscienceonline.com
Network security plays a very important role in today's web enabled world. In the 21st
century, network traffic has increased because of the enormous growth in online users and …

Machine Learning Solution for Police Functions

P Anandan, SK AM, CC Vignesh… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
In our society, crime has become one of the most prevalent problems. Preventing it is of
paramount importance. In order to prevent it, crimes must be tracked and a public database …

A Study on Verification of CCTV Image Data through Unsupervised Learning Model of Deep Learning

Y Lee - Tehnički glasnik, 2023 - hrcak.srce.hr
Sažetak Abnormal behavior is called an abnormal behavior that deviates from the same
normal standard as the average. The installation of public CCTVs to prevent crimes is …