Exploring Impacts of Random Proactive Jamming Attack in Wireless Sensor Network

  • Ali Mohammed Hussen Department of Information Technology, Collage of informatics, Werabe University; P.O.Box 46, Werabe; Ethiopia
Keywords: Wireless Sensor Network, Jamming attacks, Random Jammer, Jamming Detection, Jamming Isolation.

Abstract

Wireless Sensor networks are one of the most extensively used technologies in our day to day lives; they can provide communication without needing a fixed infrastructure, which makes them suitable for communication in disaster areas or when quick deployment is needed. However, this kinds of network technology uses the wireless medium for communication. It is vulnerable to malicious attacks. One of the most frequently used attacks is a random jamming attacks which is Denial of Service attack. Random Jamming attacks disturb the communication between Sink and legitimate nodes. In rough environments where there is constant traffic, Random jamming attack can cause serious problems. Because of this, a study of random jamming attacks and how to prevent them is necessary. In this research the random jamming attacks were simulated using Riverbed Modeler software, in order to provide a better understanding of effects of random jamming attacks. This study will be helpful for future research and development of a practical, effective way to avoid random jamming attacks. The objectives of this thesis were to simulate and analysis wireless sensor network (ZigBee) under random jamming attacks; launch different kinds of (fixed, mobile) random jamming attacks in order to test how much influence on performance of wireless sensor network. Riverbed Modeler Based simulation which have five scenarios were created and the simulation was run and the results were collected, which shows that the throughput of the wireless sensor network decrease and increase the delay ,data drop when the network is affected by the random Jammers. Finally, thesis describe the open issues in this field, such as adding more than one random jammer and sink in wireless sensor network.

References

Abdulaziz Rashid Alazemi. Defending WSNs against Jamming Attacks, American Journal of Networks and Communications. Vol. 2, No. 2, 2013.

G. Padmavathi, “A Survey of Attacks, Security Mechanisms and Challenges in Wireless Sensor Networks,” vol. 4, no. 1, pp. 1–9, 2009.

LV Bo, ZHANG Xiao-fa, WANG Chao, YUAN Nai-chang," Study of Channelized Noise Frequency spot Jamming Techniques", 2008.

XI you-you, CHENG Nai-ping, "Performance Analysis of Multi-tone Frequency Sweeping Jamming for Direct Sequence Spread Spectrum Systems", 2011.

Ramya Shivanagu1 and Deepti C2 “A Security Mechanism against Reactive Jammer Attack in Wireless Sensor Networks Using Trigger Identification Service” International Journal of Security, Privacy and Trust Management (IJSPTM) vol 2, No 2, April 2013.

Lewis, Frank L; “Wireless Sensor Networks,” Smart Environments: Technologies, Protocols, and Applications, pp. 11-46, c 2005 John Wiley & Sons, Inc.

Wenyuan Xu; Ke Ma; Trappe, W.; Yanyong Zhang; "Jamming sensor networks: attack and defense strategies," Network, IEEE, vol.20, no.3, pp. 41- 47, May-June 2006.

Alzaid, Hani; Park, Dong Gook; Nieto, Juan Gonzalez; Boyd, Colin; Foo, Ernest; “A Forward and Backward Secure Key Management in Wireless Sensor Networks for PCS/SCADA,” Sensor Systems and Software, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pp. 66-82, Vol.24, c 2010, Springer Berlin Heidelberg.

Xin Liu, Guevara Noubir, Ravi Sundaram, San Tan, “SPREAD: Foiling Smart Jammers using Multi-layer Agility” IEEE Communications Society subject matter experts for publication in the IEEE INFOCOM 2007 proceedings, IEEE 2007.

J. Newsome, E. Shi, D. Song, and A. Perrig, “The sybil attack in sensor networks: analysis & defenses,” in IPSN ’04: Proceedings of the third international symposium on Information processing in sensor networks. ACM Press, 2004, pp. 259–268.

Wood, A.D. and J.A. Stankovic. "Denial of Service in Sensor Networks". IEEE Computer, Volume: 35, Issue: 10, Oct. 2002, pp.48- 56.

Williams united states," Multi-Directional Barrage Jamming System", 1975.

J. Schuerger, "Deceptive Jamming Modelling in Radar Sensor Networks,” pp.1–7.

W. Xu et al., “Channel Surfing and Spatial Retreats: Defenses against Wireless Denial of Service,”Proc. 2004 ACM Wksp. Wireless Security, 2004, pp. 80–89.

W. Xu et al., “The Feasibility of Launching and Detecting Jamming Attacks in Wireless Networks,” MobiHoc ’05: Proc. 6th ACM Int’l. Symp. Mobile Ad Hoc Net. And Comp., 2005, pp.46–57.

J.Pike,”Sound Surveillance System (SOSUS)” [Online].Available:http://www.globalesecurity.org/intell/systems/sosus.html, March 2017.

C. E. Nishimura and D. M. Conlon, “IUSS dual use: Monitoring whales and earthquakes using SOSUS”, Mar. Technol. Soc. J., vol. 27, no. 4, pp. 13-21, 1994.

Y. Law et al., “Link-Layer Jamming Attacks on S-Mac,” Proc. 2nd Euro. Wksp. Wireless Sensor Networks, 2005, pp. 217–25.

D. Report, C. Science, and J. Bacaj, “Detecting Attacks in Wireless Sensor Networks,” 2011.

Geethapriya Thamilarasu, Sumita Mishra and Ramalingam Sridhar,” Improving Reliability of Jamming Attack Detection in Ad-Hoc Networks”, International Journal of Communication Networks and Information Security (IJCNIS), Vol. 3, No.1, April 2011, pp. 57-66.

S. Raja Ratna, R. Ravi and Dr. Beulah Shekhar,” Mitigating Denial of Service Attacks in Wireless Networks”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), Volume 2, No.5, May 2013, pp. 1716-1719.

Ramya Shivanagu “An Assessment of Security Mechanisms Against Reactive Jammer Attack In Wireless Sensor Networks” International Journal in Foundations of Computer Science & Technology (IJFCST), Vol. 3, No.3, May 2013.

Ajana J., Helen K.J, “Mitigating Inside Jammers in MANET Using Localized Detection Scheme”, International Journal of Engineering Science Invention, Volume 2, Issue 7, July 2013, pp. 13-19.

Sklar B. et al. (1997). Rayleigh Fading Channels in Mobile Digital communication Systems Part I: Characterization. IEEE communications magazine, vol. 35.

Okumara, Y. et al. (1968). Field Strength And Its Variability In VHF And UHF Land Mobile Radio Service. Rev. Elec. Commun. Lab, vol 16.

Hata, M. (1980). Empirical Formulae for Propagation Loss in Land Mobile Radio Services. IEEE trans. Vehic. Tech. vol. VT-29, no. 3

Cox, D.C. et al. (1984). 800 MHz Attenuation measured in and around suburban houses. AT&T Bell Lab Tech. J., vol. 673, no. 6

Rappaport, T.S.(1996). Wireless communications. NJ: Prentice Hall.

IEEE. (2007). 802.11 working group for wireless local area networks. Retrieved January 15,2017, from http://standards.ieee.org/wireless/overview.html

Bernard Sklar, “Digital Communications: Fundamentals and Applications“, Chapter 12. Spread Spectrum Techniques, Englewood Cliffs, NJ: Prentice Hall, 1988.

Lisa Ann Osadciw and John F. Slocum “Clutter Processing Using K-Distribution for Digital Radars with Increased Senstivity“, International Radar Conference. 2002.

Published
2020-02-11
How to Cite
Hussen, A. M. (2020). Exploring Impacts of Random Proactive Jamming Attack in Wireless Sensor Network. International Journal of Computer (IJC), 36(1), 18-33. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/1500
Section
Articles