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The Future of Networks and Network Security [PDF]
, 1997 Networks are evolving rapidly into huge, omnipresent, multiservice entities. They are connected worldwide into an Internet that has many different administrations, purposes, resource owners, and users. As the network grows, design parameters are exceeded and new vulnerabilities are introduced.
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Criminal Trajectory Reconstruction Method Based on a Mobile Reference System
Computational Urban ScienceCriminal trajectory reconstruction is a crucial area of study in the investigative and evidentiary processes of public security departments. This paper proposes a method for reconstructing criminal trajectories based on a mobile reference system ...
Zhengyan Ding +4 more
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A machine learning-based approach to ERα bioactivity and drug ADMET prediction
Frontiers in Genetics, 2023 By predicting ERα bioactivity and mining the potential relationship between Absorption, Distribution, Metabolism, Excretion, Toxicity (ADMET) attributes in drug research and development, the development efficiency of specific drugs for breast cancer will
Tianbo An +6 more
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Complex & Intelligent SystemsUnderwater object detection is a prerequisite for underwater robots to achieve perception and operation. However, strong underwater background interference and weak underwater object perception greatly exacerbate the difficulty of underwater object ...
Xin Shen +3 more
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Inhibiting crypto‐ransomware on windows platforms through a honeyfile‐based approach with R‐Locker
IET Information Security, 2022 After several years, crypto‐ransomware attacks still constitute a principal threat for individuals and organisations worldwide. Despite the fact that a number of solutions are deployed to fight against this plague, one main challenge is that of early ...
José Antonio Gómez‐Hernández +2 more
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Scientific ReportsX-ray image-based prohibited item detection plays a crucial role in modern public security systems. Despite significant advancements in deep learning, challenges such as feature extraction, object occlusion, and model complexity remain.
Kai Zhao +3 more
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HBTBD: A Heterogeneous Bitcoin Transaction Behavior Dataset for Anti-Money Laundering
Applied Sciences, 2023 In this paper, we predict money laundering in Bitcoin transactions by leveraging a deep learning framework and incorporating more characteristics of Bitcoin transactions.
Jialin Song, Yijun Gu
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Vox2Face: Speech-Driven Face Generation via Identity-Space Alignment and Diffusion Self-Consistency
InformationSpeech-driven face generation aims to synthesize a face image that matches a speaker’s identity from speech alone. However, existing methods typically trade identity fidelity for visual quality and rely on large end-to-end generators that are difficult ...
Qiming Ma +7 more
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A Personalized and Practical Method for Analyzing the Risk of Chemical Terrorist Attacks
IEEE Access, 2020 The chemical terrorist attack is a type of unconventional terrorism that threatens the safety of cities. This kind of terrorist attack is highly concealed and difficult to be detected.
Rongchen Zhu +3 more
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Discover Applied SciencesThe Darknet marketplace, operating on anonymous communication techniques, has become a central hub for illicit trade, enabling elusive vendors to engage in illegal activities.
Xuan Zhang +6 more
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