A survey of distributed denial of service attack

Mallikarjunan, K. Narasimha; Muthupriya, K.; Shalinie, S. Mercy

doi:10.1109/isco.2016.7727096

Cited by 59 publications

(34 citation statements)

References 13 publications

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“…Honeypot is used as a mitigation method for DDoS Attacks. Honeypots can't prevent a DDoS attack but they are used lure attackers to carry out DDoS on Honeypot servers, once the attack is carried out, Honeypot understands the attack type and also tries to detect attacker and by detecting the origin of attack it will effectively prevent future attacks [5].…”

Section: Honeypot Methodsmentioning

confidence: 99%

Prevention of DDoS attack on Primary Server in Software Defined Networks using Controller by Packet Header Translation

2019

IJITEE

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DDoS attacks are instigated by intruders on primary servers which provide important services like file service, web service etc., by sending huge amount of unwanted traffic. Routers in traditional systems simply forward such traffic to the victim servers without understanding its implications. However, such attacks can be identified and mitigated by controller in Software Defined Networks (SDN). In this paper we show how DDoS attack on primary servers in an SDN environment, can be mitigated by controller with the help of packet header translation. The traffic sent to the target server will be first intercepted by the controller to check whether it is attack traffic or genuine traffic, after which only the genuine traffic is forwarded to the server while the attack traffic is dropped.

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Section: Honeypot Methodsmentioning

confidence: 99%

Prevention of DDoS attack on Primary Server in Software Defined Networks using Controller by Packet Header Translation

2019

IJITEE

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“…The lack of data sets of denial of service attacks in application layer was the motivation of the authors [14]. The authors [13], [26], [18] presented a detection model based in CUSUM algorithm, that has already been used in detecting of DoS attacks and they aim on DoS attacks that produce a small amount of packets to disturb the network service.…”

Section: Related Workmentioning

confidence: 99%

Computer Network Forensics Assistance Methodology Focused on Denial of Service Attacks

Newton¹,

Bliche²

2020

IJCA

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The problem addressed in this paper is the difficulty in criminalizing denial of service attacks in Brazil. With the advent of Law 12.737 of 2012 in Brazil, known as the Computer Crimes Law, these attacks could be considered crimes. However, no procedures were found to support it. This paper proposes a methodology based on the 2012 Computer Crime Law to assist computer networks forensic analysis, focused on charging offenders who commit denial of service attacks, as well as to present a computational architecture to automate its steps. For this purpose, it was promoted a review of related works and also dedicated sections for the clarification of terms needed to contextualize the research. At the end of the article, the methodology and its steps are presented, and also the proposed architecture and the results of experiments performed to validate the proposal. It is concluded that the availability of the information obtained by the aid of the proposed methodology demonstrates that the investigation authority can proceed with the duly substantiated liability of the offending agents.

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“…A denial of service attack [4] is an effort to make one or more computer systems unavailable. It is typically targeted at web servers, but it can also be used on mail servers, name servers, and any other type of computer system.…”

Section: Dos Attackmentioning

confidence: 99%

“…Denial of service (DoS) attacks may be initiated from a single machine, but they typically use many computers to carry out an attack. Since most servers have firewalls and other security software installed, it is easy to SOURCE NODE (ATTACKER) [4] are often used to coordinate multiple systems in a simultaneous attack. A distributed denial of service attack intimate all coordinated systems to send a stream of requests to a specific server at the same time.…”

Section: Dos Attackmentioning

confidence: 99%

Anomaly Based Detection of Violations in Web Applications

2017

IJAERD

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A survey of distributed denial of service attack

Cited by 59 publications

References 13 publications

Prevention of DDoS attack on Primary Server in Software Defined Networks using Controller by Packet Header Translation

Prevention of DDoS attack on Primary Server in Software Defined Networks using Controller by Packet Header Translation

Computer Network Forensics Assistance Methodology Focused on Denial of Service Attacks

Anomaly Based Detection of Violations in Web Applications

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