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Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques
Published 2025-01-01Subjects: “…malware detection…”
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82
Graph representation federated learning for malware detection in Internet of health things
Published 2025-03-01“…However, the increasing prevalence of malware threats presents significant security and privacy challenges. …”
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83
Game theory-based malware propagation model for wireless sensor network
Published 2018-11-01Subjects: Get full text
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84
The SEIRS-NIMFA epidemiological model for malware propagation analysis in IoT networks
Published 2025-01-01Subjects: Get full text
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85
Analysis and defense of the BlackEnergy malware in the Ukrainian electric power system
Published 2017-01-01“…Ukrainian electric power system suffered BlackEnergy virus attacks in December 2015, resulting in blackout accident occurred simultaneously at multiple areas in Ivano-Frankovsk region, the malware also pose a threat to the electric power system security in China. …”
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86
IDENTITAS ARSITEKTUR MANDAR PADA BANGUNAN TRADISIONAL DI KABUPATEN MAJENE
Published 2017-06-01“…Ornamen yang bermakna simbolik ini sangat signifikan mengapa identitas arsitektur Mandar masih digunakan pada bangunan etnis Mandar tahun 1960-2010, terutama pada bangunan arsitektur Mandar kontemporer, dan dari segi non fisik dipengaruhi oleh faktor status sosial dan faktor lingkungan. …”
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87
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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88
Integrating Information Gain and Chi-Square for Enhanced Malware Detection Performance
Published 2025-01-01Subjects: “…Malware detection…”
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89
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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90
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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91
A novel feature selection technique: Detection and classification of Android malware
Published 2025-03-01Subjects: “…Android Malware…”
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92
Scheme for identifying malware traffic with TLS data based on machine learning
Published 2020-02-01Subjects: Get full text
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93
Transformer-based malware detection using process resource utilization metrics
Published 2025-03-01Subjects: “…Dynamic malware signatures…”
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94
Ultrafast Probe of Carrier Diffusion and Nongeminate Processes in a Single CdSSe Nanowire
Published 2015-01-01“…We measure ultrafast carrier dynamics in a single CdSSe nanowire at different excitation fluences using an ultrafast Kerr-gated microscope. …”
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Epitaxial growth of Pd clusters on N-doped Ag nanowires for oxygen reduction reaction
Published 2025-01-01Subjects: Get full text
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96
Electrical behavior of n-GaAs Schottky nanowire in wide temperature range for different contacts
Published 2023-05-01Subjects: Get full text
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97
Electrochemical Analysis of Antichemotherapeutic Drug Zanosar in Pharmaceutical and Biological Samples by Differential Pulse Polarography
Published 2013-01-01“…The electrochemical reduction of zanosar was investigated systematically by direct current polarography, cyclic voltammetry, and differential pulse polarography (DPP). …”
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98
Tungsten/Platinum Hybrid Nanowire Growth via Field Emission Using Nanorobotic Manipulation
Published 2011-01-01“…By independently employing trimethylcyclopentadienyl platinum (CpPtMe3) and tungsten hexacarbonyl (W(CO)6) as precursors, the platinum nanowire grew on the tip of the MWCNT emitter. Tungsten nanowires then grew on the tip of the platinum nanowire. …”
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Silicon Powder-Based Wafers for Low-Cost Photovoltaics: Laser Treatments and Nanowire Etching
Published 2018-01-01“…It is established that (i) Si powder-based wafers with thicknesses ~180 μm can be fully (from the front to back side) or partly (subsurface region) remelted by a diode laser and grain sizes in laser-treated regions can be increased; (ii) a high-quality top layer can be fabricated by crystallization of an additional a-Si layer deposited by e-beam evaporation on top of the pc-Si; and (iii) silicon nanowires can be formed by metal-assisted wet chemical etching (MAWCE) of polished Si powder-based wafers and as-cut wafers irradiated with medium laser power, while a surface texturing on the as-cut pc-Si wafers occur, and no nanowires can form in the region subject to a liquid phase crystallization (LPC) caused by high-power laser treatments.…”
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