International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 5  (May 2017), Pages:  94-100


Title: Preventive mechanism against DDoS attacks in MANET

Author(s):  Tariq Ahamad *, Abdullah Aljumah

Affiliation(s):

College of Computer Engineering & Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

https://doi.org/10.21833/ijaas.2017.05.017

Full Text - PDF          XML

Abstract:

A prevention technique is proposed in this article against DDoS attacks which consume the bandwidth in modern MANETS. Since these networks are wireless and self-configuring and doesn’t need a pre-existing infrastructure and have a large unpredictable node movements, security becomes one of the most vital issue to be raised into the account. The proposed approach is based on the analysis and investigations of bandwidth attacks that mainly focus on DDoS that is truly a ruthless challenge and is difficult to detect, and decreases the performance of the network. DDoS includes a group of attacker nodes and targets the victim to prevent the legitimate users from accessing the network services and resources. Intrusion prevention system are the procedures that are treated as Add-ons’ of the intrusion detection system to actively defend and prevent the intrusions, that are detected by the detection procedures of the IDS. The report that is generated by the IDS after analyzing the report of the forensic analysis is the base of the proposed procedure. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: MANET, DDoS, Security, IDS, IPS

Article History: Received 30 January 2017, Received in revised form 8 March 2017, Accepted 17 April 2017

Digital Object Identifier: 

https://doi.org/10.21833/ijaas.2017.05.017

Citation:

Ahamad T and Aljumah A (2017). Preventive mechanism against DDoS attacks in MANET. International Journal of Advanced and Applied Sciences, 4(5): 94-100

http://www.science-gate.com/IJAAS/V4I5/Ahamad.html


References:

Aad I, Hubaux JP, and Knightly EW (2008). Impact of denial of service attacks on ad hoc networks. IEEE/ACM Transactions on Networking, 16(4): 791-802. 
https://doi.org/10.1109/TNET.2007.904002
Ahamad T and Aljumah A (2014). Hybrid approach using intrusion detection system. International Journal of Engineering Research and Technology, 3(2): 197-208.
Ahamad T and Aljumah A (2015). Detection and defense mechanism against DDoS in MANET. Indian Journal of Science and Technology, 8(33): 1-4.
https://doi.org/10.17485/ijst/2015/v8i33/80152
Aldaej A and Ahamad T (2016). AAODV (Aggrandized Ad Hoc on demand vector): A detection and prevention technique for manets. International Journal of Advanced Computer Science and Applications, 1(7): 132-140.
https://doi.org/10.14569/ijacsa.2016.071018
Alicherry M, Keromytis AD, and Stavrou A (2009). Evaluating a collaborative defense architecture for manets. In the IEEE International Conference on Internet Multimedia Services Architecture and Applications (IMSAA'09), IEEE: 1-6. 
https://doi.org/10.1109/imsaa.2009.5439498
Aljumah A (2015). Detecting distributed denial of service (Ddos) attack using TTLv constraint in mobile adhoc networks (MANET). Science Internationals, 27(6): 5037-5040.
Aljumah A and Ahamad (2016). A novel approach for detecting DDoS using artificial neural networks. International Journal of Computer Science and Network Security, 16(12): 132-138.
Arunmozhi SA and Venkataramani Y (2011). A new defense scheme against DDoS attack in mobile Ad Hoc networks. Communications in Computer and Information Science. Springer Berlin Heidelberg, 133: 210–216.
Guo Y and Simon M (2010). Network forensics in MANET: Traffic analysis of source spoofed DoS attacks. In the 4th International Conference on Network and System Security (NSS'10), IEEE, Melbourne, Australia: 128–135. 
https://doi.org/10.1109/nss.2010.45
Nadeem A and Howarth M (2009). Adaptive intrusion detection and prevention of denial of service attacks in MANETs. In the International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, ACM Leipzig, Germany: 926-930.
https://doi.org/10.1145/1582379.1582581
Redwan H and Kim KH (2008). Survey of security requirements, attacks and network integration in wireless mesh networks. In the conference on New Technologies, Mobility and Security (NTMS '08), Tangier, Morocco, IEEE: 1-5. https://doi.org/10.1109/NTMS.2008.ECP.94
Sharma P, Sharma N, and Singh R (2012). A secure intrusion detection system against DDOS attack in wireless mobile Ad-hoc network. International Journal of Computer Applications, 41(21): 16-21.
https://doi.org/10.5120/5824-8064
Tan HX and Seah WK (2005). Framework for statistical filtering against DDoS attacks in MANETs. In the Second International Conference on Embedded Software and Systems, IEEE, Xian, China: 1-8. https://doi.org/10.1109/ICESS.2005.57
Uddin M, Alsaqour R, and Abdelhaq M (2013). Intrusion detection system to detect DDoS attack in gnutella hybrid P2P network. Indian Journal of Science and Technology, 6(2): 4045-4057.
Wanlei Z (2012). Keynote: Detection of and defense against distributed denial-of-Service (DDoS) attacks. In the IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications, IEEE, Liverpool, UK. https://doi.org/10.1109/TrustCom.2012.341
Xenakis C, Panos C, and Stavrakakis I (2011). A comparative evaluation of intrusion detection architectures for mobile ad hoc networks. Computers & Security, 30(1): 63-80.
https://doi.org/10.1016/j.cose.2010.10.008
Xiang M, Chen Y, Ku WS, and Su Z (2011). Mitigating DDoS attacks using protection nodes in mobile Ad Hoc networks. In the IEEE Conference on Global Telecommunications, IEEE, Houston, USA: 1-6. https://doi.org/10.1109/GLOCOM.2011. 6134032