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What is DDoS

Chapter 10
Handbook of Research on Digital Crime, Cyberspace Security, and Information Assurance
An attempt to make a machine or network resource unavailable to its intended users.
Published in Chapter:
Fighting Cybercrime and Protecting Privacy: DDoS, Spy Software, and Online Attacks
Javier Valls-Prieto (University of Granada, Spain)
Copyright: © 2015 |Pages: 10
DOI: 10.4018/978-1-4666-6324-4.ch010
Abstract
This chapter is about the use of large-scale databases that has increased considerably in the last two years. It is a powerful tool to predict future situations that may affect society. The use of an environmental scanner to fight cybercrime—as an organized crime—is the project for using this technique of large-scale databases to try to guarantee the security against the risk of new, developing forms of criminal activities. On the other hand, the use of large-scale databases utilizes a great amount of personal data to try to predict where and how organized crime or new forms of criminality will develop. This means that we have to evaluate the interests of security of society and the privacy of the person, and we have to find the way to balance both in a democratic society. There are important ethical issues to be considered in the employment of this new and unregulated instrument.
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More Results
Chapter 1
An Analysis of Industry 4.0
A means of overloading servers using a range of protocols in order to successfully starve the victim of computational resources and the ability to operate effectively.
Published in Chapter: An Analysis of Industry 4.0; From: Real-Time and Retrospective Analyses of Cyber Security
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Chapter 46
Social Research Methods in Cybersecurity: From Criminology to Industrial Cybersecurity
The use of malicious software to organize automated attacks through IoT devices, specifically denial of service attacks (DDoS), is currently another effective new formula of cyber-activism, in which a large volume of traffic is directed towards a specific service or website (normally governmental but not exclusively) to make it inoperative.
Published in Chapter: Social Research Methods in Cybersecurity: From Criminology to Industrial Cybersecurity; From: Handbook of Research on Advanced Research Methodologies for a Digital Society
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Chapter 2
Detection of DDoS Attack Using Machine Learning Techniques in Software Defined Networking
Distributed denial of service attack is a deliberate attempt to flood the target or its surrounding infrastructure with Internet traffic in order to maliciously disrupt the regular traffic of a targeted server, service, or network. By using numerous compromised computer systems as sources of attack traffic, DDoS attacks are made effective.
Published in Chapter: Detection of DDoS Attack Using Machine Learning Techniques in Software Defined Networking; From: Handbook of Research on Current Trends in Cybersecurity and Educational Technology
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Chapter 6
Cyberwar: Its Psychological Impact on Employees and Consequences for Organizations
In attacks known as distributed denial of service, the attackers render the resources unavailable to the users who are allowed to access them.
Published in Chapter: Cyberwar: Its Psychological Impact on Employees and Consequences for Organizations; From: Handbook of Research on War Policies, Strategies, and Cyber Wars
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Chapter 10
Multi-Aspect DDOS Detection System for Securing Cloud Network
A distributed denial-of-service (DDoS) attack occurs when multiple systems flood the bandwidth or resources of a targeted system, usually one or more web servers.
Published in Chapter: Multi-Aspect DDOS Detection System for Securing Cloud Network; From: Handbook of Research on End-to-End Cloud Computing Architecture Design
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