Improving security using SVM-based anomaly detection: issues and challenges
Security is one of the main requirements of the current computer systems, and recently it
gains much importance as the number and severity of malicious attacks increase …
gains much importance as the number and severity of malicious attacks increase …
Improving malicious email detection through novel designated deep-learning architectures utilizing entire email
T Muralidharan, N Nissim - Neural Networks, 2023 - Elsevier
In today's email dependent world, cyber criminals often target organizations using a variety
of social engineering techniques and specially crafted malicious emails. When successful …
of social engineering techniques and specially crafted malicious emails. When successful …
Efficient e-mail spam filtering approach combining Logistic Regression model and Orthogonal Atomic Orbital Search algorithm
Phishing emails called spam have created a need for reliable and intelligent spam filters.
Machine-learning techniques are effective, but current methods such as Logistic Regression …
Machine-learning techniques are effective, but current methods such as Logistic Regression …
An empirical study of supervised email classification in Internet of Things: practical performance and key influencing factors
Abstract Internet of Things (IoT) is gradually adopted by many organizations to facilitate the
information collection and sharing. In an organization, an IoT node usually can receive and …
information collection and sharing. In an organization, an IoT node usually can receive and …
Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language
MA Mohammed, DA Ibrahim… - Journal of Intelligent …, 2021 - degruyter.com
Spam electronic mails (emails) refer to harmful and unwanted commercial emails sent to
corporate bodies or individuals to cause harm. Even though such mails are often used for …
corporate bodies or individuals to cause harm. Even though such mails are often used for …
Evaluating the performance of chatgpt for spam email detection
Email continues to be a pivotal and extensively utilized communication medium within
professional and commercial domains. Nonetheless, the prevalence of spam emails poses a …
professional and commercial domains. Nonetheless, the prevalence of spam emails poses a …
Detecting ham and spam emails using feature union and supervised machine learning models
Spam emails are cyber nuisances that cause serious security threats including personal and
financial information. Although several spam detection approaches exist, detecting new …
financial information. Although several spam detection approaches exist, detecting new …
A weak-region enhanced Bayesian classification for spam content-based filtering
This article proposes an improved Bayesian scheme by focusing on the region in which
Bayesian may fail to correctly identify labels and improve classification performance by …
Bayesian may fail to correctly identify labels and improve classification performance by …
Anomaly detection in emails using machine learning and header information
C Beaman, H Isah - arXiv preprint arXiv:2203.10408, 2022 - arxiv.org
Anomalies in emails such as phishing and spam present major security risks such as the
loss of privacy, money, and brand reputation to both individuals and organizations. Previous …
loss of privacy, money, and brand reputation to both individuals and organizations. Previous …
GRUSpam: robust e-mail spam detection using gated recurrent unit (GRU) algorithm
P Wanda - International Journal of Information Technology, 2023 - Springer
Email is one of the most popular communication tools for delivering messages online.
However, tremendously delivered email has harmed users through various attacks …
However, tremendously delivered email has harmed users through various attacks …