A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
Speech quality assessment in wireless voip communication using deep belief network
Nowadays, the voice over Internet protocol (VoIP) communication service is widely adopted,
and it counts with many users across the world. However, the users' quality of experience is …
and it counts with many users across the world. However, the users' quality of experience is …
Robust multimedia spam filtering based on visual, textual, and audio deep features and random forest
Nowadays, there is a growing demand among Internet and social media users for improved
protection against spam. Despite numerous studies focused on spam detection, no …
protection against spam. Despite numerous studies focused on spam detection, no …
Spam classification: a comparative analysis of different boosted decision tree approaches
SK Trivedi, PK Panigrahi - Journal of Systems and Information …, 2018 - emerald.com
Purpose Email spam classification is now becoming a challenging area in the domain of text
classification. Precise and robust classifiers are not only judged by classification accuracy …
classification. Precise and robust classifiers are not only judged by classification accuracy …
A semi-supervised learning approach for tackling Twitter spam drift
Twitter has changed the way people get information by allowing them to express their
opinion and comments on the daily tweets. Unfortunately, due to the high popularity of …
opinion and comments on the daily tweets. Unfortunately, due to the high popularity of …
Efficient arabic and english social spam detection using a transformer and 2D convolutional neural network-based deep learning filter
Nowadays, online social networks are continuously evolving and are utilized across a
multitude of applications. Nevertheless, these networks are not immune to challenges, as …
multitude of applications. Nevertheless, these networks are not immune to challenges, as …
[PDF][PDF] Integrated approach to detect spam in social media networks using hybrid features
KS Reddy, ES Reddy - International Journal of Electrical and …, 2019 - academia.edu
Online social networking sites are becoming more popular amongst Internet users. The
Internet users spend some amount of time on popular social networking sites like Facebook …
Internet users spend some amount of time on popular social networking sites like Facebook …
Word embedding for social bot detection systems
Z Ellaky, F Benabbou, S Ouahabi… - 2021 Fifth International …, 2021 - ieeexplore.ieee.org
In recent years, the growth of online social network (OSN) has been very phenomenal with
great social and economic impact. However, some accounts are created for malicious …
great social and economic impact. However, some accounts are created for malicious …
Improved Spam Detection Through LSTM-Based Approach
CL Sri, DD Lakshmi, K Ravali, V Kukreja… - 2024 Third …, 2024 - ieeexplore.ieee.org
In the era of evolving digital environment, users are constantly plagued by unsolicited e-mail
and SMS, which calls for innovative solutions to protect digital communications. This …
and SMS, which calls for innovative solutions to protect digital communications. This …
Analysis of ensemble learning models for identifying spam over social networks using recursive feature elimination
P Garg, SN Singh - … on Cloud Computing, Data Science & …, 2021 - ieeexplore.ieee.org
Social Networking platforms are regarded as being the reliable and valued communication
medium for transferring information and communicating, used by the millions throughout the …
medium for transferring information and communicating, used by the millions throughout the …