Showing 21 - 40 results of 62 for search 'Malwa*', query time: 0.06s Refine Results
  1. 21

    Modeling and Analysis of the Spread of Malware with the Influence of User Awareness by Qingyi Zhu, Xuhang Luo, Yuhang Liu

    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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    Article
  2. 22

    Robust Malware identification via deep temporal convolutional network with symmetric cross entropy learning by Jiankun Sun, Xiong Luo, Weiping Wang, Yang Gao, Wenbing Zhao

    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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    Article
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    A Malware Detection Scheme Based on Mining Format Information by Jinrong Bai, Junfeng Wang, Guozhong Zou

    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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    Article
  5. 25

    Bifurcation of a Fractional-Order Delayed Malware Propagation Model in Social Networks by Changjin Xu, Maoxin Liao, Peiluan Li

    Published 2019-01-01
    “…Thus, the study on malware propagation model plays an important role in network security. …”
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    Article
  6. 26

    MalSEIRS: Forecasting Malware Spread Based on Compartmental Models in Epidemiology by Isabella Martínez Martínez, Andrés Florián Quitián, Daniel Díaz-López, Pantaleone Nespoli, Félix Gómez Mármol

    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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    Article
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    Linear SVM-Based Android Malware Detection for Reliable IoT Services by Hyo-Sik Ham, Hwan-Hee Kim, Myung-Sup Kim, Mi-Jung Choi

    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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    Article
  10. 30

    The Effects of Different Representations on Static Structure Analysis of Computer Malware Signatures by Ajit Narayanan, Yi Chen, Shaoning Pang, Ban Tao

    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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    Article
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    Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection by Juan Alegre-Sanahuja, Javier Camacho, Juan Carlos Cortés López, Francisco-José Santonja, Rafael Jacinto Villanueva Micó

    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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    Article
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