A Deep Learning-Based Cyber Threat Risk Detection Model Aiming at Blockchain Environment

被引：0
|
作者：
Yang, Jin [1 ]
Li, Tao [1 ]
Liang, Gang [1 ]
Gong, Xun [1 ]
Zhao, Hui [1 ]
Cong, Kai [1 ]
机构：
[1] Sichuan Unix, Coll Cyber Secur, Chengdu, Sichuan, Peoples R China
来源：
BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY | 2020年 / 126卷
关键词：
D O I：
暂无
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
383
引用
收藏
页码：252 / 252
页数：1
相关论文
共 50 条
  • [41] Cybersecurity threat intelligence knowledge exchange based on blockchain Proposal of a new incentive model based on blockchain and Smart contracts to foster the cyber threat and risk intelligence exchange of information
    Riesco, R.
    Larriva-Novo, X.
    Villagra, V. A.
    TELECOMMUNICATION SYSTEMS, 2020, 73 (02) : 259 - 288
  • [42] Machine Learning-Based Mobile Threat Monitoring and Detection
    Hatcher, William G.
    Maloney, David
    Yu, Wei
    2016 IEEE/ACIS 14TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH, MANAGEMENT AND APPLICATIONS (SERA), 2016, : 67 - 73
  • [43] Explainable Transfer Learning-Based Deep Learning Model for Pelvis Fracture Detection
    Kassem, Mohamed A. A.
    Naguib, Soaad M. M.
    Hamza, Hanaa M. M.
    Fouda, Mostafa M. M.
    Saleh, Mohamed K. K.
    Hosny, Khalid M. M.
    INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2023, 2023
  • [44] An efficient deep learning-based scheme for web spam detection in IoT environment
    Makkar, Aaisha
    Kumar, Neeraj
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 108 : 467 - 487
  • [45] Deep Learning-Based Anomaly Traffic Detection Method in Cloud Computing Environment
    Cen, Junjie
    Li, Yongbo
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [46] Deep learning-based network anomaly detection and classification in an imbalanced cloud environment
    Vibhute, Amol D.
    Nakum, Vikram
    5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023, 2024, 232 : 1636 - 1645
  • [47] Deep learning-based detection of seedling development from controlled environment to field
    Garbouge, H.
    Sapoukhina, N.
    Rasti, P.
    Rousseau, D.
    XXXI INTERNATIONAL HORTICULTURAL CONGRESS, IHC2022: III INTERNATIONAL SYMPOSIUM ON MECHANIZATION, PRECISION HORTICULTURE, AND ROBOTICS: PRECISION AND DIGITAL HORTICULTURE IN FIELD ENVIRONMENTS, 2023, 1360 : 237 - 243
  • [48] DEEP LEARNING-BASED PASSIVE HAZARD DETECTION FOR ASTEROID LANDING IN UNEXPLORED ENVIRONMENT
    Caroselli, Edoardo
    Belien, Frederik
    Falke, Albert
    Curti, Fabio
    Foerstner, Roger
    PROCEEDINGS OF THE 44TH ANNUAL AMERICAN ASTRONAUTICAL SOCIETY GUIDANCE, NAVIGATION, AND CONTROL CONFERENCE, AAS 2022, 2024, : 319 - 334
  • [49] Deep Learning-Based Cyber Attack Detection in Power Grids with Increasing Renewable Energy Penetration
    Dayarathne, M. A. S. P.
    Jayathilaka, M. S. M.
    Bandara, R. M. V. A.
    Logeeshan, V
    Kumarawadu, S.
    Wanigasekara, C.
    2024 IEEE 5TH ANNUAL WORLD AI IOT CONGRESS, AIIOT 2024, 2024, : 0521 - 0526
  • [50] Deep Learning-based Detection and Mitigation Strategy for Cyber-attacks on Advanced Metering Infrastructure
    Acharya, Aparna
    Bhalja, Bhavesh R.
    18TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE, SYSCON 2024, 2024,
12345