Flooding attacks detection of mobile agents in IP networks

Jean Tajer; Mo Adda; Benjamin Aziz

doi:10.5121/csit.2017.70501

Flooding attacks detection of mobile agents in IP networks

Jean Tajer, Mo Adda, Benjamin Aziz

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

267 Downloads (Pure)

Abstract

This paper deals with detection of flooding attacks which are the most common type of Denial of Service (DoS) attacks in a Mobile Agent World. We propose a new framework for the detection of flooding attacks by integrating Divergence measures over Sketch data structure. The performance of the proposed framework is investigated in terms of detection probability and false alarm ratio. We focus on tuning the parameter of Divergence Measures to optimize the performance. We conduct performance analysis over publicly available real IP traces, in Mobile Agent Network, integrated with flooding attacks. Our analysis results prove that our
proposed algorithm outperforms the existing solutions.

Original language	English
Title of host publication	Proceedings of the Fourth International Conference on Computer Networks & Communications (CCNET 2017)
Editors	Brajesh Kumar Kaushik, Jan Zizka
Publisher	AIRRC Publishing Corporation
Pages	1-12
ISBN (Print)	978-1-921987-65-6
DOIs	https://doi.org/10.5121/csit.2017.70501
Publication status	Published - 29 Apr 2017
Event	Fourth International Conference on Computer Networks & Communications: CCNET 2017 - Dubai, United Arab Emirates Duration: 29 Apr 2017 → 30 Apr 2017 http://cse2016.org/2017/ccnet/index.html?utm_source=researchbib

Publication series

Name	Computer Science & Information Technology
Number	5
Volume	7
ISSN (Print)	2231-5403

Conference

Conference	Fourth International Conference on Computer Networks & Communications
Country/Territory	United Arab Emirates
City	Dubai
Period	29/04/17 → 30/04/17
Internet address	http://cse2016.org/2017/ccnet/index.html?utm_source=researchbib

Access to Document

10.5121/csit.2017.70501

CCNET-2017 Accepted author manuscript (Post-print), 701 KB

http://airccse.org/V7N67.html

Cite this

Tajer, J., Adda, M., & Aziz, B. (2017). Flooding attacks detection of mobile agents in IP networks. In B. K. Kaushik, & J. Zizka (Eds.), Proceedings of the Fourth International Conference on Computer Networks & Communications (CCNET 2017) (pp. 1-12). (Computer Science & Information Technology; Vol. 7, No. 5). AIRRC Publishing Corporation. https://doi.org/10.5121/csit.2017.70501

@inproceedings{8c60b0bf910c40c38e5e71b47fd477e5,

title = "Flooding attacks detection of mobile agents in IP networks",

abstract = "This paper deals with detection of flooding attacks which are the most common type of Denial of Service (DoS) attacks in a Mobile Agent World. We propose a new framework for the detection of flooding attacks by integrating Divergence measures over Sketch data structure. The performance of the proposed framework is investigated in terms of detection probability and false alarm ratio. We focus on tuning the parameter of Divergence Measures to optimize the performance. We conduct performance analysis over publicly available real IP traces, in Mobile Agent Network, integrated with flooding attacks. Our analysis results prove that ourproposed algorithm outperforms the existing solutions.",

author = "Jean Tajer and Mo Adda and Benjamin Aziz",

year = "2017",

month = apr,

day = "29",

doi = "10.5121/csit.2017.70501",

language = "English",

isbn = "978-1-921987-65-6",

series = "Computer Science & Information Technology",

publisher = "AIRRC Publishing Corporation",

number = "5",

pages = "1--12",

editor = "Kaushik, {Brajesh Kumar} and Jan Zizka",

booktitle = "Proceedings of the Fourth International Conference on Computer Networks & Communications (CCNET 2017)",

note = "Fourth International Conference on Computer Networks & Communications : CCNET 2017 ; Conference date: 29-04-2017 Through 30-04-2017",

url = "http://cse2016.org/2017/ccnet/index.html?utm_source=researchbib",

}

Tajer, J, Adda, M & Aziz, B 2017, Flooding attacks detection of mobile agents in IP networks. in BK Kaushik & J Zizka (eds), Proceedings of the Fourth International Conference on Computer Networks & Communications (CCNET 2017). Computer Science & Information Technology, no. 5, vol. 7, AIRRC Publishing Corporation, pp. 1-12, Fourth International Conference on Computer Networks & Communications, Dubai, United Arab Emirates, 29/04/17. https://doi.org/10.5121/csit.2017.70501

Flooding attacks detection of mobile agents in IP networks. / Tajer, Jean; Adda, Mo; Aziz, Benjamin.
Proceedings of the Fourth International Conference on Computer Networks & Communications (CCNET 2017). ed. / Brajesh Kumar Kaushik; Jan Zizka. AIRRC Publishing Corporation, 2017. p. 1-12 (Computer Science & Information Technology; Vol. 7, No. 5).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Flooding attacks detection of mobile agents in IP networks

AU - Tajer, Jean

AU - Adda, Mo

AU - Aziz, Benjamin

PY - 2017/4/29

Y1 - 2017/4/29

N2 - This paper deals with detection of flooding attacks which are the most common type of Denial of Service (DoS) attacks in a Mobile Agent World. We propose a new framework for the detection of flooding attacks by integrating Divergence measures over Sketch data structure. The performance of the proposed framework is investigated in terms of detection probability and false alarm ratio. We focus on tuning the parameter of Divergence Measures to optimize the performance. We conduct performance analysis over publicly available real IP traces, in Mobile Agent Network, integrated with flooding attacks. Our analysis results prove that ourproposed algorithm outperforms the existing solutions.

AB - This paper deals with detection of flooding attacks which are the most common type of Denial of Service (DoS) attacks in a Mobile Agent World. We propose a new framework for the detection of flooding attacks by integrating Divergence measures over Sketch data structure. The performance of the proposed framework is investigated in terms of detection probability and false alarm ratio. We focus on tuning the parameter of Divergence Measures to optimize the performance. We conduct performance analysis over publicly available real IP traces, in Mobile Agent Network, integrated with flooding attacks. Our analysis results prove that ourproposed algorithm outperforms the existing solutions.

UR - http://airccj.org/CSCP/vol7/csit76701.pdf

UR - http://airccse.org/faq.html

U2 - 10.5121/csit.2017.70501

DO - 10.5121/csit.2017.70501

M3 - Conference contribution

SN - 978-1-921987-65-6

T3 - Computer Science & Information Technology

SP - 1

EP - 12

BT - Proceedings of the Fourth International Conference on Computer Networks & Communications (CCNET 2017)

A2 - Kaushik, Brajesh Kumar

A2 - Zizka, Jan

PB - AIRRC Publishing Corporation

T2 - Fourth International Conference on Computer Networks & Communications

Y2 - 29 April 2017 through 30 April 2017

ER -

Flooding attacks detection of mobile agents in IP networks

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this