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 …
Intelligent techniques for detecting network attacks: review and research directions
The significant growth in the use of the Internet and the rapid development of network
technologies are associated with an increased risk of network attacks. Network attacks refer …
technologies are associated with an increased risk of network attacks. Network attacks refer …
Explainable artificial intelligence in cybersecurity: A survey
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
life. Despite the AI benefits, its application suffers from the opacity of complex internal …
“real attackers don't compute gradients”: bridging the gap between adversarial ml research and practice
Recent years have seen a proliferation of research on adversarial machine learning.
Numerous papers demonstrate powerful algorithmic attacks against a wide variety of …
Numerous papers demonstrate powerful algorithmic attacks against a wide variety of …
Phishing or not phishing? A survey on the detection of phishing websites
R Zieni, L Massari, MC Calzarossa - IEEE Access, 2023 - ieeexplore.ieee.org
Phishing is a security threat with serious effects on individuals as well as on the targeted
brands. Although this threat has been around for quite a long time, it is still very active and …
brands. Although this threat has been around for quite a long time, it is still very active and …
Sok: Explainable machine learning for computer security applications
Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine
learning (ML) pipelines. We systematize the increasingly growing (but fragmented) …
learning (ML) pipelines. We systematize the increasingly growing (but fragmented) …
Phishing detection system through hybrid machine learning based on URL
Currently, numerous types of cybercrime are organized through the internet. Hence, this
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …
study mainly focuses on phishing attacks. Although phishing was first used in 1996, it has …
Npc: N euron p ath c overage via characterizing decision logic of deep neural networks
Deep learning has recently been widely applied to many applications across different
domains, eg, image classification and audio recognition. However, the quality of Deep …
domains, eg, image classification and audio recognition. However, the quality of Deep …
Phishing website detection based on deep convolutional neural network and random forest ensemble learning
R Yang, K Zheng, B Wu, C Wu, X Wang - Sensors, 2021 - mdpi.com
Phishing has become one of the biggest and most effective cyber threats, causing hundreds
of millions of dollars in losses and millions of data breaches every year. Currently, anti …
of millions of dollars in losses and millions of data breaches every year. Currently, anti …
Detecting phishing sites using chatgpt
The rise of large language models (LLMs) has had a significant impact on various domains,
including natural language processing and artificial intelligence. While LLMs such as …
including natural language processing and artificial intelligence. While LLMs such as …