Algorithm for identifying clients based on dynamic MAC addresses in narrowly targeted secure networks using deep learning neural networks

被引：0

作者：

Tyutyunnik, Alexander ^{[1
]}

Lobaneva, Ekaterina ^{[1
]}

Lazarev, Alexey ^{[1
]}

机构：

[1] Natl Res Univ Moscow Power Engn Inst, Dept Informat Technol Econ & Management, Smolensk, Russia

来源：

INTERNATIONAL JOURNAL OF PARALLEL EMERGENT AND DISTRIBUTED SYSTEMS | 2021年 / 36卷 / 05期

基金：

俄罗斯基础研究基金会;

关键词：

MAC address; neural network; fuzzy logic; device identification; information security;

D O I：

10.1080/17445760.2021.1941007

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Existing algorithms for identifying clients on a network segment are based on static client binding by MAC address. MAC address generation is based on pseudo-random sequences of 0-256 characters. With this feature in mind, software was developed based on an algorithm for generating MAC addresses using bidirectional neural networks, followed by integration of a decision support system module. A secondary feature of the developed software is the ability to set a MAC validity timeout, which will limit access to the network segment and increase the security factor.

引用

页码：470 / 481

页数：12