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Modeling and Analysis of the Spread of Malware with the Influence of User Awareness
Published 2021-01-01“…By incorporating the security awareness of computer users into the susceptible-infected-susceptible (SIS) model, this study proposes a new malware propagation model, named the SID model, where D compartment denotes the group of nodes with user awareness. …”
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Robust Malware identification via deep temporal convolutional network with symmetric cross entropy learning
Published 2023-08-01“…Therefore, learning from noisy labels is significant for machine learning‐enabled Malware identification. In this study, motivated by the symmetric cross entropy with satisfactory noise robustness, the authors propose a robust Malware identification method using temporal convolutional network (TCN). …”
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A Dynamically Reconfigured Multi-FPGA Network Platform for High-Speed Malware Collection
Published 2012-01-01Get full text
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A Malware Detection Scheme Based on Mining Format Information
Published 2014-01-01“…Malware has become one of the most serious threats to computer information system and the current malware detection technology still has very significant limitations. …”
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Bifurcation of a Fractional-Order Delayed Malware Propagation Model in Social Networks
Published 2019-01-01“…Thus, the study on malware propagation model plays an important role in network security. …”
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MalSEIRS: Forecasting Malware Spread Based on Compartmental Models in Epidemiology
Published 2021-01-01“…In this context, the paper at hand proposes MalSEIRS, a novel dynamic model, to predict malware distribution in a network based on the SEIRS epidemiological model. …”
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LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers
Published 2022-01-01Subjects: Get full text
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Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance
Published 2025-01-01Subjects: “…Malware detection…”
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Linear SVM-Based Android Malware Detection for Reliable IoT Services
Published 2014-01-01“…In this paper, we apply a linear support vector machine (SVM) to detect Android malware and compare the malware detection performance of SVM with that of other machine learning classifiers. …”
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The Effects of Different Representations on Static Structure Analysis of Computer Malware Signatures
Published 2013-01-01“…The aim of this paper is to evaluate a static structure approach to malware modelling using the growing malware signature databases now available. …”
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A novel feature selection technique: Detection and classification of Android malware
Published 2025-03-01Subjects: “…Android Malware…”
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MALVADA: A framework for generating datasets of malware execution traces
Published 2025-05-01Subjects: Get full text
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Transformer-based malware detection using process resource utilization metrics
Published 2025-03-01Subjects: Get full text
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Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection
Published 2014-01-01“…The model predicts the number of infected smartphones depending on the type of malware. Additionally, we will estimate the cost that the users should afford when the malware is in their devices. …”
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Interpretable Detection of Malicious Behavior in Windows Portable Executables Using Multi-Head 2D Transformers
Published 2024-06-01Subjects: “…malware…”
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DLCDroid an android apps analysis framework to analyse the dynamically loaded code
Published 2025-01-01Subjects: Get full text
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