Results 201 to 208 of about 4,236,332 (208)

Attention-Based Multidimensional Deep Learning Approach for Cross-Architecture IoMT Malware Detection and Classification in Healthcare Cyber-Physical Systems

IEEE Transactions on Computational Social Systems, 2023
A literature survey shows that the number of malware attacks is gradually growing over the years due to the growing trend of Internet of Medical Things (IoMT) devices. To detect and classify malware attacks, automated malware detection and classification
Vinayakumar Ravi, T. Pham, M. Alazab
semanticscholar   +1 more source

Static Multi Feature-Based Malware Detection Using Multi SPP-net in Smart IoT Environments

IEEE Transactions on Information Forensics and Security
With the steady increase in the demand for Internet of Things (IoT) devices in diverse industries, such as manufacturing, medical care, and transportation infrastructure, the production of malware tailored for Smart IoT environments is also increasing ...
Jueun Jeon, Byeonghui Jeong, Seungyeon Baek, Young-Sik Jeong   +3 more
semanticscholar   +1 more source

ResNeXt+: Attention Mechanisms Based on ResNeXt for Malware Detection and Classification

IEEE Transactions on Information Forensics and Security
Malware detection and classification are crucial for protecting digital devices and information systems. Accurate identification of malware enables researchers and incident responders to take prompt measures against malware and mitigate its damage.
Yuewang He, Xiangui Kang, Qiben Yan, Enping Li   +3 more
semanticscholar   +1 more source

CruParamer: Learning on Parameter-Augmented API Sequences for Malware Detection

IEEE Transactions on Information Forensics and Security, 2022
Learning on execution behaviour, i.e., sequences of API calls, is proven to be effective in malware detection. In this paper, we present CruParamer, a deep neural network based malware detection approach for Windows platform that performs learning on ...
Xiaohui Chen, Zhiyu Hao, Lun Li, Lei Cui, Yiran Zhu, Zhenquan Ding, Yongji Liu   +6 more
semanticscholar   +1 more source

A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system

Enterprise Information Systems, 2022
The Internet of Things (IoT) is a relatively new technology that has piqued academics’ and business information systems’ attention in recent years. The Internet of Things establishes a network that enables smart devices in an organisational information ...
Akshat Gaurav, B. Gupta, P. Panigrahi
semanticscholar   +1 more source

MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection

IEEE Conference on Computer Communications, 2022
With the ever-increasing malware threats, malware detection plays an indispensable role in protecting information systems. Although tremendous research efforts have been made, there are still two key challenges hindering them from being applied to ...
Xiang Ling, Lingfei Wu, Wei Deng, Zhenqing Qu, Jiangyu Zhang, Shenmin Zhang, Tengyu Ma, Bin Wang, Chunming Wu, S. Ji   +9 more
semanticscholar   +1 more source

A novel deep learning-based approach for malware detection

Engineering applications of artificial intelligence, 2023
K. Shaukat, S. Luo, V. Varadharajan
semanticscholar   +1 more source

Hybrid Deep Learning Approach Based on LSTM and CNN for Malware Detection

Wireless personal communications
Preeti Thakur, Vineet Kansal, Vinay Rishiwal   +2 more
semanticscholar   +1 more source