Prototype of a Security System with Artificial Intelligence Using Neural Networks and Evolutionary Algorithms

被引:0
|
作者
Sergio Ordonez, G. [1 ]
Cesar Guerra, T. [1 ]
机构
[1] UANL, FIME, San Nicolas De Los Garza, Nuevo Leon, Mexico
来源
SMART TECHNOLOGY | 2018年 / 213卷
关键词
AI; Cybersecurity; Evolutionary algorithms; Neural networks;
D O I
10.1007/978-3-319-73323-4_4
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The present article exposes a prototype and a security system, which using Artificial Intelligence of Neural Networks, using different environments to train and learn attacks, seeking to optimize the overall average of threats, minimizing the percent of vulnerabilities using an evolutionary algorithm called EVONORM.
引用
收藏
页码:31 / 39
页数:9
相关论文
共 50 条
  • [1] Artificial neural networks design using evolutionary algorithms
    Castillo, PA
    Arenas, MG
    Castillo-Valdivieso, JJ
    Merelo, JJ
    Prieto, A
    Romero, G
    ADVANCES IN SOFT COMPUTING: ENGINEERING DESIGN AND MANUFACTURING, 2003, : 43 - 52
  • [2] RACING GAME ARTIFICIAL INTELLIGENCE USING EVOLUTIONARY ARTIFICIAL NEURAL NETWORKS
    Ozveren, C. Suheyl
    Bassilious, Victor
    Homatash, Hamid
    GAME-ON 2011: 12TH INTERNATIONAL CONFERENCE ON INTELLIGENT GAMES AND SIMULATION, 2011, : 28 - 35
  • [3] A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms
    Emambocus, Bibi Aamirah Shafaa
    Jasser, Muhammed Basheer
    Amphawan, Angela
    IEEE ACCESS, 2023, 11 : 1280 - 1294
  • [4] Design of electroceramic materials using artificial neural networks and multiobjective evolutionary algorithms
    Scott, D. J.
    Manos, S.
    Coveney, P. V.
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2008, 48 (02) : 262 - 273
  • [5] A Review on Automation Artificial Neural Networks based on Evolutionary Algorithms
    Zebari, Rizgar R.
    Zeebaree, Subhi R. M.
    Rashid, Zryan Najat
    Shukur, Hanan M.
    Alkhayyat, Ahmed
    Sadeeq, Mohammed A. M.
    2021 14TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE), 2021, : 235 - 240
  • [6] A new evolutionary system for evolving artificial neural networks
    Yao, X
    Liu, Y
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1997, 8 (03): : 694 - 713
  • [7] Joint application of artificial neural networks and evolutionary algorithms to watershed management
    Muleta, MK
    Nicklow, JW
    WATER RESOURCES MANAGEMENT, 2004, 18 (05) : 459 - 482
  • [8] Joint Application of Artificial Neural Networks and Evolutionary Algorithms to Watershed Management
    Misgana K. Muleta
    John W. Nicklow
    Water Resources Management, 2004, 18 : 459 - 482
  • [9] Improvement of a hybrid evolutionary model of genetic algorithms and artificial neural networks
    Will, Adrián Luis Ernesto
    Boletin Tecnico/Technical Bulletin, 2016, 54 (03): : 107 - 116
  • [10] MULTI-OBJECTIVE OPTIMIZATION OF PARAMETERS FOR MILLING USING EVOLUTIONARY ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS
    Banerjee, Amit
    Abu-Mahfouz, Issam
    Rahman, Ahm Esfakur
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2019, VOL 14, 2020,