An Approach Used In Wireless Network to Detect Denial of Service Attack
Pages 4 - 6
Abstract
The shared behavior of wireless network makes it more vulnerable to Denial of Service attack. A Denial of Service (DOS) attack is a planned attempt to make resources unable to the legitimate client. These attacks can easily launch by perpetrator emitting no. of signals that do not follow MAC protocol. A DOS attacks are the significant cause of data corruption and malfunctioning of a wireless network. In this paper, we proposed a new approach to detect denial of service attack in wireless, which not only detect attack, but also differentiate it from the natural condition occur in a network. The proposed method uses different network factor and statistical method to calculate threshold value.
References
[1]
W. Xu, W. Trappe, Y. Zhang, and T. Wood. The feasibility of launching and detecting jamming attacks in wireless networks, In ACM MobiHoc 05, page to appear. ACM Press, 2005.
[2]
Yee Wei, L. Lodewijk, V. Hoesel, J. Doumen, P. Hartel, P.Havinga, Energy-Efficient Link-Layer Jamming Attacks against Wireless ensor Network MAC Protocols, SANS 05, November 7, 2005, Virginia, USA.
[3]
Y. Law, P. Hartel, J. den Hartog, and P. Havinga. Linklayer jamming attacks on S-MAC, In 2nd European Workshop on Wireless Sensor Networks (EWSN 2005), pages 217 225. IEEE, 2005.
[4]
Wood, J. Stankovic, and S. Son., JAM: A jammed-area mapping service for sensor networks, In 24th IEEE Real Time Systems Symposium, pages 286--297, 2003.
[5]
J. G. Proakis. Digital Communications. McGraw-Hill, 4th edition, 2000.
[6]
Schleher. Electronic Warfare in the Information Age. MArtech House, 1999.
[7]
CrossBow Corporation, MICA2 Data Sheet {Online}, http://www.xbow.com.MICA2 data sheet.
[8]
S. Chebrolu, A. Abraham, J.P. Thomas, Feature deduction and ensemble design of intrusion detection systems, Computers & Security, Vol. 24, pp. 295--307, 2005.
[9]
P. Garcia-Teodoro, J. Diaz-Verdejo, G. Macia-Fernandez, E. Vazquez, Anomaly-based network intrusion detection: Techniques, systems and challenges, Computers & Security, Vol. 28, pp. 18--28, 2008.
[10]
A.D.Wood and J.A.Stankovic, Denial of service in sensor Networks, IEEE Computer, 35(10):54 62, Oct.2002.
[11]
M. Vamsikrishna, R. Sudhakrishna Network Jamming Detection Prevention Using Hidding Method IJCTT 2011.
Recommendations
Surviving Distributed Denial-of-Service Attacks
A series of distributed denial-of-service (DDoS) attacks were launched against computer systems and services in the US and South Korea beginning July 4th. A DDoS attack is an attempt to make a computer service unavailable to its intended users. The ...
Toward an optimal solution against Denial of Service attacks in Software Defined Networks
AbstractSoftware Defined Networking (SDN) separates the control logic from data forwarding and shifts the whole decision power to the controller, making the switch a dumb device. SDNs are becoming more and more important due to the key ...
Highlights- Software Defined Networking (SDN) separates control logic from data forwarding.
A jamming detection method for multi-hop wireless networks based on association graph
In this paper, a jamming detection algorithm based on association graph is put forward based on the observation that different jamming attacks will cause different network status changes in multi-hop wireless networks (MHWNs). The proposed algorithm ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
March 2016
179 pages
Copyright © 2016 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 21 March 2016
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
WIR '16
Acceptance Rates
WIR '16 Paper Acceptance Rate 35 of 117 submissions, 30%;
Overall Acceptance Rate 35 of 117 submissions, 30%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 73Total Downloads
- Downloads (Last 12 months)5
- Downloads (Last 6 weeks)0
Reflects downloads up to 27 Nov 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in