Spam-detection with comparative analysis and spamming words extractions
Communication through email plays an essential part especially in every sector of our day-to-
day life. Considering its significance, it is important to filter spam emails from emails. Spam …
day life. Considering its significance, it is important to filter spam emails from emails. Spam …
Detecting illegal online gambling (IOG) services in the mobile environment
Despite the extensive ramifications of illegal online gambling (IOG) services, actions taken
by government authorities have had little effect in halting these operations. In order to …
by government authorities have had little effect in halting these operations. In order to …
Curated datasets and feature analysis for phishing email detection with machine learning
Despite continued research, phishing email attacks are on the rise and there is a lack of rich
curated datasets for training and testing email filtering techniques. To address this, we …
curated datasets for training and testing email filtering techniques. To address this, we …
Phishy? detecting phishing emails using ml and nlp
Phishing emails, a type of cyberattack using fake emails, are difficult to recognize due to
sophisticated techniques employed by attackers. In this paper, we use a natural language …
sophisticated techniques employed by attackers. In this paper, we use a natural language …
[PDF][PDF] Preventing Cloud Network from Spamming Attacks Using Cloudflare and KNN.
Cloud computing is one of the most attractive and cost-saving models, which provides online
services to end-users. Cloud computing allows the user to access data directly from any …
services to end-users. Cloud computing allows the user to access data directly from any …
A Bottom-Up Generic Probabilistic Building and Enriching Approach for Knowledge Graph Using the LDA-Based Clustering Method
A Mechergui, S Zghal, WBA Karaa - Software Engineering and …, 2024 - Springer
The world's knowledge appears to be limitless, making it appear impossible to ever fully
comprehend it. Therefore, methods that autonomously infer new knowledge and enrich the …
comprehend it. Therefore, methods that autonomously infer new knowledge and enrich the …
Phishy? Detecting Phishing Emails Using Machine Learning and Natural Language Processing
Phishing emails, a type of cyberattack using fake emails, are difficult to recognize due to
sophisticated techniques employed by attackers. In this paper, we use a natural language …
sophisticated techniques employed by attackers. In this paper, we use a natural language …
Knowledge graph-based Korean new words detection mechanism for spam filtering
J Kim, O Jeong - Journal of Internet Computing and Services, 2020 - koreascience.kr
Today, to block spam texts on smartphone, a simple string comparison between text
messages and spam keywords or a blocking spam phone numbers is used. As results, spam …
messages and spam keywords or a blocking spam phone numbers is used. As results, spam …
Motivational quotes-based intelligent insider threat prediction model
SV Dhavale - Confluence of AI, Machine, and Deep Learning in …, 2021 - igi-global.com
Insiders are considered as the weakest link. The digital records of a person's Facebook likes
against motivational quotes can be used for automatic and accurate prediction of sensitive …
against motivational quotes can be used for automatic and accurate prediction of sensitive …