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Article
Computer Science, Artificial Intelligence
Yuhan Chai et al.
Summary: The continuous increase and spread of malware have caused immeasurable losses to social enterprises and even the country, especially unknown malware. Most existing methods use predefined class samples to train models, which cannot handle unknown malware detection. In this paper, we propose a Dynamic Prototype Network based on Sample Adaptation for few-shot malware detection (DPNSA) to address this issue. Our method outperforms the existing models and achieves significant improvement in malware detection.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Shudong Li et al.
Summary: This paper introduces a malicious mining code detection method based on feature fusion and machine learning. It extracts multi-dimensional features and fuses them with other statistical features to train a detection model using machine learning. Experimental results show that the method has high recognition accuracy and performance metrics.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Hardware & Architecture
Jingcheng Song et al.
Summary: User health data is essential for IoT healthcare, but privacy is often a challenge. Many privacy-preserving data collection schemes have been proposed to balance the need for data collection and personal privacy. The proposed secure arrangement method based on matrix eigenvalue calculation is more robust and efficient compared to current methods.
COMPUTER STANDARDS & INTERFACES
(2022)
Article
Automation & Control Systems
Tian Wang et al.
Summary: The article introduces a privacy-enhanced retrieval technology called PERT for cloud-assisted IoT, which preserves data privacy by hiding data transmission information, and the experiments have shown its effectiveness.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Automation & Control Systems
Weizheng Wang et al.
Summary: The Industrial Internet of Things (IIoT) has significantly transformed personal lifestyles and society operations, sparking interest in areas such as intelligent logistics, smart grids, and smart cities. To address security concerns in IIoT, researchers have proposed a novel certificateless signature scheme using blockchain technology and smart contracts, demonstrating its advantages in security and efficiency.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Shudong Li et al.
Summary: The study proposes a method for detecting malicious mining code in cloud platforms by fusing Bagging and Boosting algorithms to construct a detection model, reducing the variance of model detection significantly and achieving higher accuracy and robustness compared to traditional classifiers. The experimental results show high values of AUC (0.992) and F1-score (0.987), with a low standard deviation of AUC values under different data inputs (0.0009).
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Automation & Control Systems
Chaochao Luo et al.
Summary: The IoT technology has been widely applied in various fields, but the diversity of devices makes networks more vulnerable to web attacks. Researchers proposed a deep learning-based web attack detection system that can accurately detect web attacks with low false positive and negative rates.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Shudong Li et al.
Summary: This paper proposes a machine learning-based method to accurately identify the real organization entities behind APT attacks in the Internet of Things, in order to protect IoT security. Experimental results demonstrate the effectiveness of the method in attribution analysis of APT malware samples.
SECURITY AND COMMUNICATION NETWORKS
(2021)
Article
Computer Science, Information Systems
Xi Lin et al.
Summary: In a smart city, IoV can assist in achieving flexible computing resource demand response by sharing idle vehicle computing resources. To ensure transaction security and privacy in the system, a consortium blockchain approach is employed without involving a centralized trusted third-party. Additionally, a two-stage Stackelberg game is constructed to encourage individual smart vehicles to participate and optimize utilities of buyers and sellers.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Proceedings Paper
Computer Science, Software Engineering
Yixuan Ma et al.
Summary: In the field of PE malware classification, learning-based methods have gained popularity, but lack consistent comparisons between different approaches and suffer from degradation in performance due to concept drift. Existing methods face challenges of long prediction times and high memory consumption, hindering their adoption in industry usage.
PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)
(2021)
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(2020)
Article
Computer Science, Hardware & Architecture
Wei Duan et al.
Proceedings Paper
Computer Science, Hardware & Architecture
Yu Ding et al.
2020 IEEE 19TH INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2020)
(2020)
Article
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Tadas Baltrusaitis et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2019)
Article
Computer Science, Information Systems
Hangfeng Yang et al.
Article
Computer Science, Cybernetics
Jianan Li et al.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2019)
Review
Computer Science, Artificial Intelligence
Jie Lu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2019)
Article
Computer Science, Information Systems
Sang Ni et al.
COMPUTERS & SECURITY
(2018)
Article
Computer Science, Artificial Intelligence
P Geurts et al.
