International Journal of Computer Network and Information Security (IJCNIS)
IJCNIS Vol. 10, No. 2, 8 Feb. 2018
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An Improved Model for Securing Ambient Home Network against Spoofing Attack
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Author(s)
Solomon A. Akinboro
1,*
Adebayo Omotosho
2
Modupe O. Odusami
3
Index Terms
Spoofing, Steganography, MANET, Home network, Ambient, Transposition cipher, Adaptive-neuro-fuzzy
Abstract
Mobile Ad hoc Networks (MANET) are prone to malicious attacks and intermediate nodes on the home network may spoof the packets being transmitted before reaching the destination. This study implements an enhanced Steganography Adaptive Neuro-Fuzzy Algorithm (SANFA) technique for securing the ambient home network against spoofing attacks. Hybrid techniques that comprises image steganography, adaptive neuro-fuzzy and transposition cipher were used for the model development. Two variant of the model: SANFA and transpose SANFA were compared using precision and convergence time as performance metrics. The simulation results showed that the transpose SANFA has lower percentage of precision transmitting in a smaller network and a higher percentage of precision transmitting in a larger network. The convergence time result showed that packet transmitted in a smaller network size took longer time to converge while packet transmitted in a larger network size took shorter period to converge.
Cite This Paper
Solomon A. Akinboro, Adebayo Omotosho, Modupe O. Odusami, "An Improved Model for Securing Ambient Home Network against Spoofing Attack", International Journal of Computer Network and Information Security(IJCNIS), Vol.10, No.2, pp.20-26, 2018. DOI:10.5815/ijcnis.2018.02.03
Reference
[1]Kumar, Manish, M. Hanumanthappa, and TV Suresh Kumar. "Intrusion Detection Systems Challenges for Wireless Network." International Journal of Engineering Research and Applications 2, no 1 (2012): 274-280.
[2]Misra, Sudip, Isaac Zhang, and Subhas Chandra Misra, eds. Guide to wireless Ad Hoc networks. Springer Science & Business Media, 2009.
[3]Al-Omari, Saleh Ali K., and Putra Sumari. "An overview of mobile ad hoc networks for the existing protocols and applications." International journal on applications of graph theory in wireless ad hoc networks and sensor networks 2, no.1 (2010) 87-110.
[4]Balasubramanian, Venkatraman, and Ahmed Karmouch. "An infrastructure as a Service for Mobile Ad-hoc Cloud." In Computing and Communication Workshop and Conference (CCWC), 2017 IEEE 7th Annual, pp. 1-7. IEEE, 2017.
[5]Yang, Hao, Haiyun Luo, Fan Ye, Songwu Lu, and Lixia Zhang. "Security in mobile ad hoc networks: challenges and solutions." IEEE wireless communications 11, no. 1 (2004): 38-47.
[6]Kumar, Pawan. "Analysis of different security attacks in MANETs on protocol stack A-review." In In International Journal of Engineering and Technology, 1, no. 5 (2012): 269-275.
[7]Saad, Aws, Tareq Rahem Abdalrazak, Ammar Jameel Hussein, and Amer Mohammed Abdullah. "Vehicular Ad Hoc Networks: Growth and Survey for Three Layers." International Journal of Electrical and Computer Engineering 7, no. 1 (2017): 271.
[8]Jawandhiya, Pradip M., Mangesh M. Ghonge, M. S. Ali, and J. S. Deshpande. "A survey of mobile ad hoc network attacks." International Journal of Engineering Science and Technology 2, no. 9 (2010): 4063-4071.
[9]Sanzgiri, Kimaya, Daniel LaFlamme, Bridget Dahill, Brian Neil Levine, Clay Shields, and Elizabeth M. Belding-Royer. "Authenticated routing for ad hoc networks." IEEE Journal on selected areas in communications 23, no. 3 (2005): 598-610.
[10]Mishra, Mahendra Kumar, Ashish Khare, and Mukesh Dixit. "A Trustful Routing Protocol for Ad-hoc Network." Global Journal of Computer Science and Technology 11, no. 8 (2011): 16-26.
[11]Bhaya, Wesam, and Saud A. Alasadi. "Security against Spoofing Attack in Mobile Ad Hoc Network." European Journal of Scientific Research 64, no. 4 (2011): 634-643.
[12]Yang, Jie, Yingying Chen, Wade Trappe, and Jerry Cheng. "Detection and localization of multiple spoofing attackers in wireless networks." IEEE Transactions on Parallel and Distributed systems 24, no. 1 (2013): 44-58.
[13]Singh, Ankit, Pallav Sinha, and Soumyajyoti Bhattacharya. "Detection and Localization of IDS Based Spoofing Attackers in Wireless Sensor Networks." International Journal of Computer (IJC) 27, no. 1 (2017): 103-111.
[14]Khamayseh, Yaser, Ruba Al-Salah, and Muneer Bani Yassein. "Malicious nodes detection in MANETs: behavioral analysis approach." Journal of Networks 7, no. 1 (2012): 116 -125.
[15]Gracy, Amala, and Chinnappan Jayakumar. "Identifying and locating multiple spoofing attackers using clustering in wireless network." International Journal of Wireless Communications and Mobile Computing 1, no. 4 (2013): 82-90.
[16]Maivizhi, R., and S. Matilda. "Detection and Localization of Multiple Spoofing Attackers for Mobile Wireless Networks." ICTACT Journal on Communication Technology 6, no. 2 (2015): 1112 – 1118.