An investigation of using classification techniques in prediction of type of targets in Cyber attacks

被引：0

作者：

Pournouri, Sina ^{[1
]}

Zargari, Shahrzad ^{[1
]}

Akhgar, Babak ^{[1
]}

机构：

[1] Sheffield Hallam Univ, Sheffield, S Yorkshire, England

来源：

PROCEEDINGS OF 2019 IEEE 12TH INTERNATIONAL CONFERENCE ON GLOBAL SECURITY, SAFETY AND SUSTAINABILITY (ICGS3-2019) | 2019年

关键词：

Type of Target; Cyber Attack; Classification; Cyber breach; Open Source Intelligence;

D O I：

10.1109/icgs3.2019.8688266

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Prediction of type of targets in cyber-attacks can be very important in designing an extensive framework to tackle future cyber incidents. Different sectors based on the nature of their business can be a specific target for some types of cyber-attack. Different businesses need to learn from past mistakes and identify the potential risks and vulnerabilities in order to be prepared against future cyber breaches. This study aims to investigate prediction of type of targets based on classification techniques and Open Source Intelligence.

引用

页码：122 / 132

页数：11

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