Machine learning for email spam filtering: review, approaches and open research problems

EG Dada, JS Bassi, H Chiroma, AO Adetunmbi… - Heliyon, 2019 - cell.com
The upsurge in the volume of unwanted emails called spam has created an intense need for
the development of more dependable and robust antispam filters. Machine learning …

Performance comparison and current challenges of using machine learning techniques in cybersecurity

K Shaukat, S Luo, V Varadharajan, IA Hameed, S Chen… - Energies, 2020 - mdpi.com
Cyberspace has become an indispensable factor for all areas of the modern world. The
world is becoming more and more dependent on the internet for everyday living. The …

A survey on machine learning techniques for cyber security in the last decade

K Shaukat, S Luo, V Varadharajan, IA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

Cyber threat detection using machine learning techniques: A performance evaluation perspective

K Shaukat, S Luo, S Chen, D Liu - … international conference on …, 2020 - ieeexplore.ieee.org
The present-day world has become all dependent on cyberspace for every aspect of daily
living. The use of cyberspace is rising with each passing day. The world is spending more …

Applicability of machine learning in spam and phishing email filtering: review and approaches

T Gangavarapu, CD Jaidhar, B Chanduka - Artificial Intelligence Review, 2020 - Springer
With the influx of technological advancements and the increased simplicity in
communication, especially through emails, the upsurge in the volume of unsolicited bulk …

Detecting spam email with machine learning optimized with bio-inspired metaheuristic algorithms

S Gibson, B Issac, L Zhang, SM Jacob - Ieee Access, 2020 - ieeexplore.ieee.org
Electronic mail has eased communication methods for many organisations as well as
individuals. This method is exploited for fraudulent gain by spammers through sending …

Modeling an optimized approach for load balancing in cloud

M Junaid, A Sohail, RNB Rais, A Ahmed… - IEEE …, 2020 - ieeexplore.ieee.org
Despite significant infrastructure improvements, cloud computing still faces numerous
challenges in terms of load balancing. Several techniques have been applied in the …

Semantic graph neural network: a conversion from spam email classification to graph classification

W Pan, J Li, L Gao, L Yue, Y Yang… - Scientific …, 2022 - Wiley Online Library
In this study, we propose a method named Semantic Graph Neural Network (SGNN) to
address the challenging task of email classification. This method converts the email …

Efficient E‐Mail Spam Detection Strategy Using Genetic Decision Tree Processing with NLP Features

SSI Ismail, RF Mansour… - Computational …, 2022 - Wiley Online Library
In this modern era, each and everything is computerized, and everyone has their own smart
gadgets to communicate with others around the globe without any range limitations. Most of …

Advances in spam detection for email spam, web spam, social network spam, and review spam: ML-based and nature-inspired-based techniques

AA Akinyelu - Journal of Computer Security, 2021 - journals.sagepub.com
Despite the great advances in spam detection, spam remains a major problem that has
affected the global economy enormously. Spam attacks are popularly perpetrated through …