Detection of Malware in the Network Using Machine Learning Techniques

B Yogesh, GS Reddy - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
The increased use of the internet has presented the most significant challenge to the digital
world's security. Malicious URLs are the most common way for people to engage in phishing …

URL Based Malicious Activity Detection Using Machine Learning

TZ Difaizi, OPWL Camille, TC Benhura… - 2023 International …, 2023 - ieeexplore.ieee.org
The constant use of the Internet has led to an increased vulnerability to malware attacks
through malicious websites. The goal of this research is to create a machine-learning …

[PDF][PDF] Detecting malicious URLs using machine learning techniques: a comparative literature review

RA Lekshmi, S Thomas - Int Res J Eng Technol (IRJET), 2019 - academia.edu
Today the most important concern in the field of cyber security is finding the serious
problems that make loss in secure information. It is mainly due to malicious URLs. Malicious …

Malicious-URL detection using logistic regression technique

N Vanitha, V Vinodhini - International Journal of Engineering …, 2019 - indianjournals.com
Over the last few years, the Web has seen a massive growth in the number and kinds of web
services. Web facilities such as online banking, gaming, and social networking have …

Improving the classification rate for detecting Malicious URL using Ensemble Learning Methods

SR Bingi - 2021 - norma.ncirl.ie
The surge in the use of the internet has created the biggest hurdle for the security of the
digital world. Malicious URLs are the main source of performing phishing activities …

Multiclass Classification of Malicious URL Detection Using Machine Learning and Deep Learning

MH Mumu, T Aishy, A Mohammad… - … on Information and …, 2023 - ieeexplore.ieee.org
Because of the rapid growth in internet usage, cyber risks have increased, especially in the
form of malicious URLs. These malicious URLs are used as a means to deceive and exploit …

An Analysis Employing Various Machine Learning Algorithms for Detection of Malicious URLs

F Rizvi, S Mohi ud din, N Sharma… - International Advanced …, 2022 - Springer
Currently, there are millions and trillions of webpages online. Therefore, in order to protect
their data, users must be able to distinguish between trustworthy and dangerous websites …

Automated Static Malware Analysis Using Machine Learning

B Balodi, S Sharma, AK Shukla… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Malware analysis has always been one of the crucial and tedious tasks in the field of cyber
security to prevent any abnormality in cyberspace. In the world of the internet with an …

Identification and Classification of Malicious and Benign URL using Machine Learning Classifiers

D Kundra - 2023 7th International Conference on I-SMAC (IoT …, 2023 - ieeexplore.ieee.org
In a world where digitalization is constantly advancing and developing, cybersecurity and
cyberwarfare are essential. Malware has grown to be a serious menace to internet users in …

A systematic approach for malware URL recognition

NA ALfouzan, C Narmatha - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
In today's world, new communication platforms have had a profound effect on business
promotion and growth over a broad range of applications, comprising social networking, e …