Výsledky vyhledávání - Memory-based additional autoencoder

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  1. 1

    Unsupervised Unknown Radar Waveform Detection Autor Yoon, Jaehyeok, Nam, Haewoon

    ISSN: 0018-9251, 1557-9603
    Vydáno: IEEE 2025
    “… The proposed method integrates a Deep Shrinkage Autoencoder (DSAE) and a Memory-Augmented Additional Autoencoder (MAAE…”
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    Journal Article
  2. 2

    Advanced memory forensics for malware classification with deep learning algorithms Autor Odeh, Ammar, Taleb, Anas Abu, Alhajahjeh, Tareq, Navarro, Francisco

    ISSN: 1386-7857, 1573-7543
    Vydáno: New York Springer US 01.10.2025
    Vydáno v Cluster computing (01.10.2025)
    “… Memory-based features, including memory pages, threads, open files, user sessions, system calls, and kernel modules, were extracted from memory dumps using the Volatility and Rekall frameworks…”
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    Journal Article
  3. 3

    A Secure, Blockchain-Enabled Vehicular Sensor Communication Protocol With Deep Learning-Assisted Anomaly Detection Autor Mishra, Sumit, Sengar, Neha, Har, Dongsoo

    ISSN: 1939-1390, 1941-1197
    Vydáno: Piscataway IEEE 01.05.2025
    “… The experimental results show that the proposed long short-term memory-based model is effective in detecting anomalies…”
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    Journal Article
  4. 4

    Machine Learning Based Flip-Flop Grouping for Toggling Driven Clock Gating Autor Park, Sora, Kim, Taewhan

    ISSN: 2158-1525
    Vydáno: IEEE 21.05.2023
    “… Precisely, we develop a neural network model of LSTM (long short-term memory) based AE (autoencoder) model combined with SDAE…”
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    Konferenční příspěvek
  5. 5

    DROPSYS: Detection of ROP attacks using system information Autor Kim, Seon Kwon, Jin, Hongjoo, Joo, Kyungho, Lee, Jiwon, Lee, Dong Hoon

    ISSN: 0167-4048, 1872-6208
    Vydáno: Elsevier Ltd 01.05.2024
    Vydáno v Computers & security (01.05.2024)
    “…) to mitigate concerns about additional cost and compatibility issues. However the existing HPC data-based ROP detection techniques typically suffer from low detection performance mainly because of the non-deterministic nature of HPCs…”
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    Journal Article
  6. 6

    Anomaly Detection Reliability in Consumer Electronics Manufacturing Autor Pai, Chuen-Wun, Hsueh, Hung-Wei, Hsu, Shu-han

    ISSN: 0098-3063, 1558-4127
    Vydáno: IEEE 2025
    “… To address these gaps, this study provides an in-depth analysis of the reliability of autoencoders, a representative anomaly detection model, at various levels of granularity…”
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    Journal Article
  7. 7

    基于块金字塔记忆模块的无监督异常检测 Autor 鄢宁, 李岳阳, 罗海驰

    ISSN: 1000-3428
    Vydáno: 江南大学 人工智能与计算机学院,江苏 无锡 214122%江南大学 物联网工程学院,江苏 无锡 214122 2023
    Vydáno v 计算机工程 (2023)
    “…TP391.41; 基于重建的无监督异常检测方法由于不需要异常样本和预训练模型,被广泛地应用到异常检测任务中.然而,在实际应用中由于卷积神经网络的泛化性,模型能够有效地重建…”
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    Journal Article
  8. 8

    Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection Autor Yang, Zhiwei, Wu, Peng, Liu, Jing, Liu, Xiaotao

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 22.07.2022
    Vydáno v arXiv.org (22.07.2022)
    “…Existing methods for anomaly detection based on memory-augmented autoencoder (AE) have the following drawbacks…”
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    Paper