Increase the Speed of Detection and Recognition of Computer Attacks in Combined Diagonalized Neural Networks

被引：0

作者：

Lytvyn, Vasyl ^{[1
]}

Peleshchak, Ivan ^{[1
]}

Peleshchak, Roman ^{[2
]}

机构：

[1] Lviv Polytech Natl Univ, Informat Syst & Networks Dept, Lvov, Ukraine

[2] Ivan Franko Drohobych State Pedag Univ, Dept Gen Phys, Drogobych, Ukraine

来源：

2017 4TH INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE PROBLEMS OF INFOCOMMUNICATIONS-SCIENCE AND TECHNOLOGY (PIC S&T) | 2017年

关键词：

recirculation neural network; multilayer perceptron; a matrix of' weight connections; diagonalization matrix; eigenvalues; eigenvectors; a computer attack;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose a method increase the speed of detection and recognition of computer attacks using diagonalization matrices of synaptic connections in series connected recirculating neural network and multilayer perceptron. It is established that the decrease in the number of weight of synaptic connections between neurons reduces the vulnerability of the combined neural networks of various computer attacks by about 10% The main advantages of this approach is the ability of the combined diagonalized the neural network to reduce the time of adaptation to dynamic conditions and to increase the speed of its functioning in real time.

引用

页码：152 / 155

页数：4

共 50 条

[11] DoS Attacks Intelligent Detection using Neural Networks
Alfantookh, Abdulkader A.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2006, 18 : 27 - +
[12] Recurrent neural networks approach to the detection of SQL attacks
Skaruz, Jaroslaw
Seredynski, Franciszek
Bouvry, Pascal
ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS, 2007, : 191 - 197
[13] Detection of smart card attacks using neural networks
El Farissi, Authors Ilhame
Azizi, Mostafa
Moussaoui, Mimoun
2012 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS), 2012, : 949 - 954
[14] Efficient Detection of Phishing Attacks with Hybrid Neural Networks
Zhang, Xiaoqing
Shi, Dongge
Zhang, Hongpo
Liu, Wei
Li, Runzhi
2018 IEEE 18TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY (ICCT), 2018, : 844 - 848
[15] Detection of denial of service attacks using neural networks
Bolanos, RF
Cadena, CA
Nino, F
6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL X, PROCEEDINGS: MOBILE/WIRELESS COMPUTING AND COMMUNICATION SYSTEMS II, 2002, : 84 - 87
[16] Deep Neural Networks Combined with STN for Multi-Oriented Text Detection and Recognition
Katper, Saif Hassan
Gilal, Abdul Rehman
Waqas, Ahmad
Alsughayyie, Ae Shah
Alshanqiti, Abdullah
Jaafar, Jafreezal
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (04) : 178 - 184
[17] A Statistical Approach for Detection of Denial of Service Attacks in Computer Networks
Amma, N. G. Bhuvaneswari
Selvakumar, S.
Velusamy, R. Leela
IEEE Transactions on Network and Service Management, 2020, 17 (04): : 2511 - 2522
[18] Micro Expression Detection and Recognition from High Speed Cameras using Convolutional Neural Networks
Borza, Diana
Itu, Razvan
Danescu, Radu
PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS (VISIGRAPP 2018), VOL 5: VISAPP, 2018, : 201 - 208
[19] A Statistical Approach for Detection of Denial of Service Attacks in Computer Networks
Amma, N. G. Bhuvaneswari
Selvakumar, S.
Velusamy, R. Leela
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2020, 17 (04): : 2511 - 2522
[20] DESIGN AND ANALYSIS OF A MODEL FOR DETECTION OF INFORMATION ATTACKS IN COMPUTER NETWORKS
Dzhalladova, Irada
Skapa, Stanislav
Novotna, Veronika
Babynyuk, Alexandra
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2019, 53 (03): : 95 - 112

← 1 2 3 4 5 →