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Introduction to Intrusion Detection based on Neural Networks

Instructor

Leanid Vaitsekhovich, Lecturer
Intelligent Information Technologies Department

From this introduction to intrusion detection systems, students will develop a solid foundation for understanding IDS and how they function. This course will give students a background in the technology of detecting network attacks. It will introduce the basic concepts and procedures used for IDS (Intrusion Detection Systems) and IPS (Intrusion Prevention Systems). Specific topics to be covered include: computer security background, IDS classification and architecture, network attacks and vulnerabilities, configuration of SNORT IDS etc. More over, the nature of current and future threats in conjunction with ever larger IT systems urgently requires the development of automated and adaptive defensive tools. That is why the lecture course is additionally extended with the overview of biologically inspired techniques for intrusion detection (in particular Artificial Neural Networks (ANN) and Artificial Immune Systems (AIS)).

Course Description

 

Contents

Содержание

Hours

1

Computer Security Background: Definitions, Security Problems. Information Security Goals.

 

Введение в компьютерную безопасность: основные понятия и проблемы информационной безопасности. Задачи, решаемые системами обеспечения безопасности.

2

2

What is Intrusion Detection System (IDS). IDS Classfication. IDS Architecture. Where to Place an IDS. Limitations of IDS.

 

Понятие Системы Обнаружения Атак (СОА). Классификация. Архитектура. Место размещения СОА в компьютерной сети. Недостатки.

2

3

Overview of network attacks and vulnerabilities.

 

Обзор сетевых атак и уязвимостей.

2

4

Vulnerability Scanner. Types of Vulnerabilities Analysis: Based on Host, Based on Networks. Honeypot and Honeynet.

 

Сканер уязвимостей. Подходы к обнаружению вторжений: основанные на анализе активности на уровне хоста или на уровне компьютерной сети. Использование ловушек Honeypot и Honeynet.

2

5

What is SNORT? Configuration of SNORT. Other Programs.

 

Система обнаружения вторжений SNORT. Конфигурирование системы SNORT. Обзор других систем обнаружения вторжений.

2

6

Intelligent Approaches in the Domain.

 

Интеллектуальные подходы в области обнаружения атак.

2

7

Neural Networks to Intrusion Detection.

 

Методы основанные на использовании нейросетевых технологий.

2

8

Artificial Immune Systems to Intrusion Detection.

 

Применение искусственных иммунных систем для обнаружения вторжений.

2

9

Further Developments and Perspectives.

 

Дальнейшее развитие исследований в области и перспективы.

 

2

 

Total

 Всего

18

 

UNIVERSITY
HEADLINES

2nd International Conference on Current Research Problems of Materials, Structures, Technologies and Organization of Civil Engineering in Cross-Border Approach will be held in BrSTU

Important Dates:
• Registration and Abstract Submission: June 1, 2017
• Notification of Abstract Acceptance and Full Paper Requirements: July 1, 2017
• Full Paper Submission: August 1, 2017
• Notification of Full Paper Acceptance: August 10, 2017
• Opening of a Conference: October 18, 2017

The English for Specific Purposes Training took place in BrSTU on May, 12th-13th, 2016.

The Training was held under the Erasmus+ Project “Library Network Support Services (LNSS): modernising libraries in Armenia, Moldova and Belarus through library staff development and reforming library services”.

DAAD invites applications for a summer school in Essen

The summer school, funded by the German Academic Exchange Service (DAAD)  will start with visits to European Institutions in  Strasburg, followed by llectures and presentations in Essen and last from 22.08. - 31.08.2016.

Application deadline: 05.02.2016.

Working language is English.

Travel costs and costs foe stay are covered by DAAD

See more information in the FLYER.

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We are pleased to invite all those who are not indifferent to English and who want to upgrade their English skills to join “English Speaking Club” at our university.

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