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Detection of DDoS Attack Using Optimized Machine Learning Technique by Kalai Vani Y S at Abbey's Bookshop,
Detection of DDoS Attack Using Optimized Machine Learning Technique
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Kalai Vani Y S

Detection of DDoS Attack Using Optimized Machine Learning Technique

Kalai Vani Y S

$70.95   $60.68

Paperback

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English
Mohammed Abdul Sattar
09 August 2023
Artificial intelligence; Machine learning
Network security is any action an organization takes to prevent malicious use or

accidental damage to the network's private data, its users or their devices. The goal of network

security is to keep the network running and safe for all legitimate users. Security incident response is one key aspect of maintaining organizational

security. A critical task during security incident response is detecting that an incident

has occurred. Detection may occur through reports from end-users and other stakeholders in

the organization, throughdetection analysis performed or it may be accomplished by using

anintrusion detection system. Intrusion Detection (ID) is a challenging endeavor, requiring

security practitioners to have a high level of security expertise and knowledge of their systems

and organization The demand for the ubiquitous personal communications is driving the development of new

networking techniques. Information security has now become a very important aspect of data

communication as people spend a large amount of time connected to a network. To improve the

security of the data being transmitted various techniques are employed. This chapter

presents background, problem discussion, research challenges, objectives and thesis organization.

A denial-of-service attack overwhelms a system's resources so thatit cannot respond to service requests. A DDoS attack is also an attack on system's resources, but it

is launched from a large number of other host machines that are infected by malicious software

controlled by the attacker. There are different types of DoS and DDoS attacks; the most common

are TCP SYN flood attack, teardrop attack, smurf attack, ping-of-death attack and botnets.
By:  
Imprint:   Mohammed Abdul Sattar
Dimensions:   Height: 279mm,  Width: 216mm,  Spine: 8mm
Weight:   349g
ISBN:   9798223147978
Pages:   144
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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