SCEF: A Model for Prevention of DDoS Attacks From the Cloud

Distributed denial of service (DDoS) attacks are some of the biggest threats to network performance and security today. With the advent of cloud computing, these attacks can be performed remotely on rented virtual machines (VMs), potentially increasing their capabilities and making them harder to tr...

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Bibliographic Details
Published inInternational journal of cloud applications and computing Vol. 10; no. 3; pp. 67 - 80
Main Authors Shidaganti, Ganeshayya Ishwarayya, Inamdar, Amogh Shreedhar, Rai, Sindhuja V, Rajeev, Anagha M
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.07.2020
Subjects
Analysis
Cloud computing
Denial of service attacks
Internet
Linux
Machine learning
Neural networks
Packet transmission
Prevention
Safety and security measures
Software
Virtual computer systems
Virtual environments
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Summary:Distributed denial of service (DDoS) attacks are some of the biggest threats to network performance and security today. With the advent of cloud computing, these attacks can be performed remotely on rented virtual machines (VMs), potentially increasing their capabilities and making them harder to trace and mitigate, and negatively affecting the cloud service provider as well. By analyzing packet transmission statistics, attacks can be detected on a virtual machine monitor (VMM) that controls the behavior of the VMs. This article proposes a solution to stop such detected attacks from the source, and analyses solutions proposed for a few different types of such attacks. The authors propose a model called selective cloud egress filter (SCEF) which implements specific modules to deal with detected attacks. If an attack is detected, the SCEF relays information to the VMM about which VMs are participating in the attack, allowing for specific corrective action.
ISSN:2156-1834
2156-1826
DOI:10.4018/IJCAC.2020070104