Machine learning security and privacy: a review of threats and countermeasures

A Paracha, J Arshad, MB Farah, K Ismail - EURASIP Journal on …, 2024 - Springer
Abstract Machine learning has become prevalent in transforming diverse aspects of our
daily lives through intelligent digital solutions. Advanced disease diagnosis, autonomous …

An intelligent framework based on deep learning for SMS and e‐mail spam detection

U Maqsood, S Ur Rehman, T Ali… - … Intelligence and Soft …, 2023 - Wiley Online Library
The use of short message service (SMS) and e‐mail have increased too much over the last
decades. 80% of people do not read e‐mails while 98% of cell phone users daily read their …

Machine learning methods for the industrial robotic systems security

D Tsapin, K Pitelinskiy, S Suvorov, A Osipov… - Journal of Computer …, 2024 - Springer
The trends in the introduction of industrial and logistics robots into the social sphere of
activity in order to ensure the safety of civilian facilities, the current problems of the growth of …

Machine learning regression algorithms to predict emissions from steam boilers

BD Ross-Veitía, D Palma-Ramírez, R Arias-Gilart… - Heliyon, 2024 - cell.com
Currently, the modeling of complex chemical-physical processes is drastically influencing
industrial development. Therefore, the analysis and study of the combustion process of the …

Design and performance analysis of an anti-malware system based on generative adversarial network framework

FB Khan, MH Durad, A Khan, FA Khan, M Rizwan… - IEEE …, 2024 - ieeexplore.ieee.org
The cyber realm is overwhelmed with dynamic malware that promptly penetrates all defense
mechanisms, operates unapprehended to the user, and covertly causes damage to sensitive …

Attention Mechanism and Support Vector Machine for Image-Based E-Mail Spam Filtering

G Hnini, J Riffi, MA Mahraz, A Yahyaouy… - Big Data and Cognitive …, 2023 - mdpi.com
Spammers have created a new kind of electronic mail (e-mail) called image-based spam to
bypass text-based spam filters. Unfortunately, these images contain harmful links that can …

Managing Spam Images on Android: An Approach Utilizing Machine Learning and NLP

OU Nagvekar, SA Kurbetti, PN Sarnobat… - … on Cognitive Computing …, 2023 - Springer
In today's digital communication environment, images have become an integral part of our
interactions with others. However, a significant portion of these images have no practical …

Impacts of data preprocessing and TF-IDF based feature extraction on chinese spam recognition in machine learning methods

J Gao, T Qiu, G Chen - 5th International Conference on Artificial …, 2023 - ieeexplore.ieee.org
Spam has been threatening people's life and production safety, in order to reduce its harm, it
is necessary to study the topic of spam filtering. In spam identification, data preprocessing …

An Efficient Mechanism of Modified Sand Cat Swarm Optimization and DCNN For Detection of Spam in Online Social Media Network

NN Nicholas, V Nirmalrani - 2024 - researchsquare.com
In recent years, social media has become an indispensable part of people's daily lives. The
use of social media networks, particularly WhatsApp, Facebook, and email, has significantly …

Hybrid Model for Email Spam Prediction Using Random Forest for Feature Extraction

H Saini, KS Saini - 2023 International Conference on Artificial …, 2023 - ieeexplore.ieee.org
With the advancement in world wide web, the way to communicate among individuals, via
internet, is changed and thus, various platforms become popular such as email. Numerous …