Distributed Denial of Service attacks identification using payload signature production

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Tohidian younes; JAHANSHIRI JAVAD; Shoraka Hadi; Zahed Amir Hossein

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INFORMATION AND COMMUNICATION TECHNOLOGY IN POLICING Year:2021 | Volume:1 | Issue:4 Page(s): 39-48

Download Full-Text

Persian Verion

View:

510

Download:

Cites:

Information Journal Paper

Title

Distributed Denial of Service attacks identification using payload signature production

Author(s)

Tohidian younes | JAHANSHIRI JAVAD | Shoraka Hadi | Zahed Amir Hossein | Issue Writer Certificate

Keywords

Distributed Denial of Service Attacks

Signature

Intrusion Detection

DOS

DDOS

Abstract

With the development of new information and communication technologies and the pervasive use of cyberspace, distributed denial of service (DDOS) attacks are a serious threat to online organizations. These attacks can have destructive effects, for example, on one of its effects can be in terms of the public face of the trademark and its revenue. A good way to deal with DDOS attacks is to save a Signature for each attack. Today, most organizations and institutions, both national and military (military and law enforcement) face such attacks, so in this study, while trying to identify Intrusion Detection systems in the proposed method to produce the necessary Signatures to explain. Using this method, any attack can be detected as soon as this Signature is found in traffic. However, this process is not easy and the Signature production process is usually time consuming and requires a lot of effort. To help solve this challenge of generating Signature problems, in this research, we propose an automated method for generating data-based Signatures for DDOS attacks. This study also examines the relationships between different data packets of the same attack. In fact, data packet-based digital Signatures are used for attacks whose pattern and core are the same, with only minor differences in the structure of the attack. The research concludes with a proposal for a Signature generation algorithm and its validation using applied tools.

Cites

No record.

References

No record.

Cite

APA: Copy

Tohidian, younes, JAHANSHIRI, JAVAD, Shoraka, Hadi, & Zahed, Amir Hossein. (2021). Distributed Denial of Service attacks identification using payload signature production. INFORMATION AND COMMUNICATION TECHNOLOGY IN POLICING, 1(4 ), 39-48. SID. https://sid.ir/paper/382553/en

Vancouver: Copy

Tohidian younes, JAHANSHIRI JAVAD, Shoraka Hadi, Zahed Amir Hossein. Distributed Denial of Service attacks identification using payload signature production. INFORMATION AND COMMUNICATION TECHNOLOGY IN POLICING[Internet]. 2021;1(4 ):39-48. Available from: https://sid.ir/paper/382553/en

IEEE: Copy

younes Tohidian, JAVAD JAHANSHIRI, Hadi Shoraka, and Amir Hossein Zahed, “Distributed Denial of Service attacks identification using payload signature production,” INFORMATION AND COMMUNICATION TECHNOLOGY IN POLICING, vol. 1, no. 4 , pp. 39–48, 2021, [Online]. Available: https://sid.ir/paper/382553/en

Related Journal Papers