Explainable artificial intelligence applications in cyber security: State-of-the-art in research
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
A review on social spam detection: Challenges, open issues, and future directions
Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …
applications such as content sharing, chatting, making friends/followers, customer …
Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
Spam detection using bidirectional transformers and machine learning classifier algorithms
Y Guo, Z Mustafaoglu… - journal of Computational …, 2023 - ojs.bonviewpress.com
Spam email has accounted for a high percentage of email traffic and has created problems
worldwide. The deep learning transformer model is an efficient tool in natural language …
worldwide. The deep learning transformer model is an efficient tool in natural language …
The role of machine learning in cybersecurity
Machine Learning (ML) represents a pivotal technology for current and future information
systems, and many domains already leverage the capabilities of ML. However, deployment …
systems, and many domains already leverage the capabilities of ML. However, deployment …
A review of spam email detection: analysis of spammer strategies and the dataset shift problem
F Jáñez-Martino, R Alaiz-Rodríguez… - Artificial Intelligence …, 2023 - Springer
Spam emails have been traditionally seen as just annoying and unsolicited emails
containing advertisements, but they increasingly include scams, malware or phishing. In …
containing advertisements, but they increasingly include scams, malware or phishing. In …
Novel enhanced-grey wolf optimization hybrid machine learning technique for biomedical data computation
Today, a significant number of biomedical data is generated continuously from various
biomedical equipment and experiments due to rapid technological improvements in medical …
biomedical equipment and experiments due to rapid technological improvements in medical …
Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms
H Alkahtani, THH Aldhyani - Complexity, 2021 - Wiley Online Library
Smart grids, advanced information technology, have become the favored intrusion targets
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
due to the Internet of Things (IoT) using sensor devices to collect data from a smart grid …
Cloud-based email phishing attack using machine and deep learning algorithm
Cloud computing refers to the on-demand availability of personal computer system assets,
specifically data storage and processing power, without the client's input. Emails are …
specifically data storage and processing power, without the client's input. Emails are …
Machine learning based PV power generation forecasting in alice springs
The generation volatility of photovoltaics (PVs) has created several control and operation
challenges for grid operators. For a secure and reliable day or hour-ahead electricity …
challenges for grid operators. For a secure and reliable day or hour-ahead electricity …