Distributed Denial of Service Attacks and Anonymous Group Authentication on the Internet

2005 ◽  
Author(s):  
A. Saxena ◽  
B. Soh
Keyword(s):  
Denial Of Service ◽  
The Internet ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Group Authentication

Data Mining Techniques for Distributed Denial of Service Attacks Detection in the Internet of Things

2016 ◽  
pp. 275-334 ◽  
Author(s):  
Pheeha Machaka ◽  
Fulufhelo Nelwamondo
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Denial Of Service ◽  
Current Data ◽  
The Internet ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Data Mining Techniques ◽  
The Internet Of Things

This chapter reviews the evolution of the traditional internet into the Internet of Things (IoT). The characteristics and application of the IoT are also reviewed, together with its security concerns in terms of distributed denial of service attacks. The chapter further investigates the state-of-the-art in data mining techniques for Distributed Denial of Service (DDoS) attacks targeting the various infrastructures. The chapter explores the characteristics and pervasiveness of DDoS attacks. It also explores the motives, mechanisms and techniques used to execute a DDoS attack. The chapter further investigates the current data mining techniques that are used to combat and detect these attacks, their advantages and disadvantages are explored. Future direction of the research is also provided.

Distributed Denial of Service Attacks in Networks

2009 ◽  
pp. 85-97
Author(s):  
Udaya Kiran Tupakula
Keyword(s):  
Best Practices ◽  
Denial Of Service ◽  
The Internet ◽  
Denial Of Service Attacks ◽  
Ideal Solution ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Dos Attacks ◽  
Research Directions ◽  
The Ideal

In this chapter we discuss Distributed Denial of Service (DDoS) attacks in networks such as the Internet, which have become significantly prevalent over the recent years. We explain how DDoS attacks are performed and consider the ideal solution characteristics for defending against the DDoS attacks in the Internet. Then we present different research directions and thoroughly analyse some of the important techniques that have been recently proposed. Our analysis confirms that none of the proposed techniques can efficiently and completely counteract the DDoS attacks. Furthermore, as networks become more complex, they become even more vulnerable to DoS attacks when some of the proposed techniques are deployed in the Internet. The gap between the tools that can generate DDoS attacks and the tools that can detect or prevent DDoS attacks continues to increase. Finally, we briefly outline some best practices that the users are urged to follow to minimise the DoS attacks in the Internet.

Data Mining Techniques for Distributed Denial of Service Attacks Detection in the Internet of Things

2020 ◽  
pp. 561-608
Author(s):  
Pheeha Machaka ◽  
Fulufhelo Nelwamondo
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Denial Of Service ◽  
Current Data ◽  
The Internet ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Data Mining Techniques ◽  
The Internet Of Things

This chapter reviews the evolution of the traditional internet into the Internet of Things (IoT). The characteristics and application of the IoT are also reviewed, together with its security concerns in terms of distributed denial of service attacks. The chapter further investigates the state-of-the-art in data mining techniques for Distributed Denial of Service (DDoS) attacks targeting the various infrastructures. The chapter explores the characteristics and pervasiveness of DDoS attacks. It also explores the motives, mechanisms and techniques used to execute a DDoS attack. The chapter further investigates the current data mining techniques that are used to combat and detect these attacks, their advantages and disadvantages are explored. Future direction of the research is also provided.

Mitigating Distributed Denial of Service Attacks with Dynamic Resource Pricing

2001 ◽  
Author(s):  
David Mankins ◽  
Rajesh Krishnan ◽  
Ceilyn Boyd ◽  
John Zao ◽  
Michael Frentz
Keyword(s):  
Denial Of Service ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Resource Pricing ◽  
Dynamic Resource
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