Machine Learning Techniques for Spam Detection in Email and IoT Platforms: Analysis and Research Challenges

Towards Secure Fitness Framework Based on IoT-Enabled Blockchain Network Integrated with Machine Learning Algorithms

(2021) Faisal Jamil et al.   SENSORS

An efficient deep learning-based scheme for web spam detection in IoT environment

(2020) Aaisha Makkar et al.   Future Generation Computer Systems-The International Journal of eScience

Unsupervised feature learning for spam email filtering

(2019) Melvin Diale et al.   COMPUTERS & ELECTRICAL ENGINEERING

Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study

(2019) Mohamed Amine Ferrag et al.   Journal of Information Security and Applications

Detection of online phishing email using dynamic evolving neural network based on reinforcement learning

(2018) Sami Smadi et al.   DECISION SUPPORT SYSTEMS

Deviation-based spam-filtering method via stochastic approach

(2018) Daekyung Lee et al.   EPL

Ensemble based spam detection in social IoT using probabilistic data structures

(2018) Amritpal Singh et al.   Future Generation Computer Systems-The International Journal of eScience

Understanding User Behavior in Sina Weibo Online Social Network: A Community Approach

(2018) Kai Lei et al.   IEEE Access

Design of multi-view based email classification for IoT systems via semi-supervised learning

(2018) Wenjuan Li et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A new semantic-based feature selection method for spam filtering

(2018) José R. Méndez et al.   APPLIED SOFT COMPUTING

An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks

(2018) Hossam Faris et al.   Information Fusion

Malicious accounts: Dark of the social networks

(2017) Kayode Sakariyah Adewole et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Improved email spam detection model based on support vector machines

(2017) Sunday Olusanya Olatunji   NEURAL COMPUTING & APPLICATIONS

Sentiment analysis and spam detection in short informal text using learning classifier systems

(2017) Muhammad Hassan Arif et al.   SOFT COMPUTING

Towards detection of phishing websites on client-side using machine learning based approach

(2017) Ankit Kumar Jain et al.   TELECOMMUNICATION SYSTEMS

ELM-based spammer detection in social networks

(2015) Xianghan Zheng et al.   JOURNAL OF SUPERCOMPUTING

Semi-supervised self-training for decision tree classifiers

(2015) Jafar Tanha et al.   International Journal of Machine Learning and Cybernetics

An improved K-nearest-neighbor algorithm for text categorization

(2011) Shengyi Jiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey of learning-based techniques of email spam filtering

(2009) Enrico Blanzieri et al.   ARTIFICIAL INTELLIGENCE REVIEW

A collaborative anti-spam system

(2008) Gu-Hsin Lai et al.   EXPERT SYSTEMS WITH APPLICATIONS

An incremental cluster-based approach to spam filtering

(2007) Wen-Feng Hsiao et al.   EXPERT SYSTEMS WITH APPLICATIONS