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 …
Survey on explainable AI: From approaches, limitations and applications aspects
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …
and has greatly benefited our lives. While AI can accurately extract critical features and …
Two-stage intrusion detection system in intelligent transportation systems using rule extraction methods from deep neural networks
In recent years, intrusion detection systems (IDSs) are offering effective solutions to protect
various types of cyber-attacks in different networks such as Internet of Vehicles (IoVs) …
various types of cyber-attacks in different networks such as Internet of Vehicles (IoVs) …
A Comprehensive Analysis of Explainable AI for Malware Hunting
In the past decade, the number of malware variants has increased rapidly. Many
researchers have proposed to detect malware using intelligent techniques, such as Machine …
researchers have proposed to detect malware using intelligent techniques, such as Machine …
A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection
With the increasing complexity and scale of modern networks, the demand for transparent
and interpretable Artificial Intelligence (AI) models has surged. This survey comprehensively …
and interpretable Artificial Intelligence (AI) models has surged. This survey comprehensively …
Deep personality trait recognition: a survey
X Zhao, Z Tang, S Zhang - Frontiers in Psychology, 2022 - frontiersin.org
Automatic personality trait recognition has attracted increasing interest in psychology,
neuropsychology, and computer science, etc. Motivated by the great success of deep …
neuropsychology, and computer science, etc. Motivated by the great success of deep …
AMD‐CNN: Android malware detection via feature graph and convolutional neural networks
Android malware has become a serious threat to mobile device users, and effective
detection and defence architectures are needed to solve this problem. Recently, machine …
detection and defence architectures are needed to solve this problem. Recently, machine …
Malware detection based on the feature selection of a correlation information decision matrix
K Lu, J Cheng, A Yan - Mathematics, 2023 - mdpi.com
Smartphone apps are closely integrated with our daily lives, and mobile malware has
brought about serious security issues. However, the features used in existing traffic-based …
brought about serious security issues. However, the features used in existing traffic-based …
Electro search optimization based long short‐term memory network for mobile malware detection
P Shanmugam, B Venkateswarulu… - Concurrency and …, 2022 - Wiley Online Library
Mobile malware is malicious software designed specifically for targeting various mobile
gadgets like tablets, smartphones, and so forth, in which any type of malicious code affecting …
gadgets like tablets, smartphones, and so forth, in which any type of malicious code affecting …
Machine learning-driven exogenous neural architecture for nonlinear fractional cybersecurity awareness model in mobile malware propagation
A vulnerable mobile device remains a critical concern for the sustainable development of
information security infrastructure, and the massive increase in mobile malware propagation …
information security infrastructure, and the massive increase in mobile malware propagation …