An Inverse Approach to Windows' Resource-Based Permission Mechanism for Access Permission Vulnerability Detection

Osmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi ◽

10.47495/okufbed.1033540 ◽

2022 ◽

Author(s):

Hakan TEMİZ ◽

Ahmet BÜYÜKEKE

Keyword(s):

Vulnerability Detection ◽

Inverse Approach

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System design using an inverse approach Application to the hybrid vehicle powertrain

Journal Européen des Systèmes Automatisés ◽

10.3166/jesa.40.269-290 ◽

2006 ◽

Vol 40 (3) ◽

pp. 269-290 ◽

Author(s):

Eric Bideaux ◽

Jérôme Laffite ◽

Wilfrid Marquis-Favre ◽

Serge Scavarda ◽

Franck Guillemard

Keyword(s):

System Design ◽

Hybrid Vehicle ◽

Inverse Approach ◽

Vehicle Powertrain

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An Inverse Approach for Capturing the Interaction of Macro- and Micro-Scales in Characterizing Bonded Composite Joints

10.21236/ada387637 ◽

2000 ◽

Author(s):

Erdogan Madenci

Keyword(s):

Composite Joints ◽

Inverse Approach ◽

Bonded Composite

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The Design and Development of the Vulnerability Detection System of Android Platform

Revista de la Facultad de Ingeniería ◽

10.21311/002.31.7.10 ◽

2016 ◽

Keyword(s):

Detection System ◽

Vulnerability Detection ◽

Design And Development ◽

Android Platform

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FTCLNet: Convolutional LSTM with Fourier Transform for Vulnerability Detection

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) ◽

10.1109/trustcom50675.2020.00078 ◽

2020 ◽

Author(s):

Defu Cao ◽

Jing Huang ◽

Xuanyu Zhang ◽

Xianhua Liu

Keyword(s):

Fourier Transform ◽

Vulnerability Detection ◽

Convolutional Lstm

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D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis

2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) ◽

10.1109/icse-seip52600.2021.00020 ◽

2021 ◽

Author(s):

Yunhui Zheng ◽

Saurabh Pujar ◽

Burn Lewis ◽

Luca Buratti ◽

Edward Epstein ◽

...

Keyword(s):

Detection Methods ◽

Differential Analysis ◽

Vulnerability Detection

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Attention-based Machine Learning Model for Smart Contract Vulnerability Detection

Journal of Physics Conference Series ◽

10.1088/1742-6596/1820/1/012004 ◽

2021 ◽

Vol 1820 (1) ◽

pp. 012004

Author(s):

Yuhang Sun ◽

Lize Gu

Keyword(s):

Machine Learning ◽

Learning Model ◽

Vulnerability Detection ◽

Smart Contract ◽

Machine Learning Model

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Source code and binary level vulnerability detection and hot patching

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering ◽

10.1145/3324884.3418914 ◽

2020 ◽

Author(s):

Zhengzi Xu

Keyword(s):

Source Code ◽

Vulnerability Detection

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A novel deep learning-based feature selection model for improving the static analysis of vulnerability detection

Neural Computing and Applications ◽

10.1007/s00521-021-06047-x ◽

2021 ◽

Author(s):

Canan Batur Şahin ◽

Laith Abualigah

Keyword(s):

Feature Selection ◽

Deep Learning ◽

Static Analysis ◽

Selection Model ◽

Vulnerability Detection

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MERLIN: Multi-Language Web Vulnerability Detection

2020 IEEE 19th International Symposium on Network Computing and Applications (NCA) ◽

10.1109/nca51143.2020.9306735 ◽

2020 ◽

Author(s):

Alexandra Figueiredo ◽

Tatjana Lide ◽

David Matos ◽

Miguel Correia

Keyword(s):

Vulnerability Detection

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Computer-aided parametric prosthetic socket design based on real-time soft tissue deformation and an inverse approach

The Visual Computer ◽

10.1007/s00371-021-02059-9 ◽

2021 ◽

Author(s):

Abbass Ballit ◽

Imad Mougharbel ◽

Hassan Ghaziri ◽

Tien-Tuan Dao

Keyword(s):

Soft Tissue ◽

Real Time ◽

Tissue Deformation ◽

Soft Tissue Deformation ◽

Inverse Approach ◽

Prosthetic Socket ◽

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