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Erschienen in:
Cluster Restructuring and Compressive Data Gathering for Transmission Efficient Wireless Sensor Network Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

A Survey on the Impact of DDoS Attacks in Cloud Computing: Prevention, Detection and Mitigation Techniques

verfasst von : Karthik Srinivasan, Azath Mubarakali, Abdulrahman Saad Alqahtani, A. Dinesh Kumar

Erschienen in: Intelligent Communication Technologies and Virtual Mobile Networks

Verlag: Springer International Publishing

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Abstract

In recent years, cloud services are emerging popular among the public and business ventures. Most of companies are trusting on cloud computing technology for production tasks. Distributed Denial of Service (DDoS) attack is a major general and critical type of attack on the cloud that proved extremely damaging the services. In current years, several efforts have been taken to identify the numerous types of DDoS attacks. This paper explains the various types of DDoS attack and its consequence in cloud computing. Also, this paper provides the various impacts of DDoS attack on cloud environment. The main goal of this paper is to discuss about prevention, detection and mitigation approaches of DDoS attacks on cloud environment with strengths, challenges and limitations of each approach. So that researchers can gets completely novel intuitive understanding into how to alleviate DDoS attacks in the field of cloud computing.

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Vorheriges Kapitel Semantic Concept Detection for Multilabel Unbalanced Dataset Using Global Features
Nächstes Kapitel A Study of Biology-Based Congestion Control Algorithms for Wireless Sensor Network
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Metadaten
Titel
A Survey on the Impact of DDoS Attacks in Cloud Computing: Prevention, Detection and Mitigation Techniques
verfasst von
Karthik Srinivasan
Azath Mubarakali
Abdulrahman Saad Alqahtani
A. Dinesh Kumar
Copyright-Jahr
2020
Buch
Intelligent Communication Technologies and Virtual Mobile Networks

Print ISBN: 978-3-030-28363-6

Electronic ISBN: 978-3-030-28364-3

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-28364-3_24

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