Performance and Analysis for Deflection Routing in Buffer-less Networks Using ns-3

Abstract:

In buffer-less networks such as Optical Burst Switch (OBS) that are high-bandwidth backbone networks (Ethernet interfaces of 40 Gigabit Ethernet and 100 Gigabit speed [1]), packets are assembled into bursts that are transmitted over optical fibers [2]. Burst blocks or burst drops occur due to contention in these complex networks [3]. Contentions occur when the buffer space is unavailable for packet bursts that are scheduled for transmission [4]. Deflection routing is used to deflect the traffic flow to a different next-hop [5]. In this project we plan to study the performance of Deflection Routing in resolving packet contention problems in complex networks such as OBS using ns-3 network simulator [6].

References:
[1] "High Speed Networks, Lightwave," [Online]. Available: https://www.lightwaveonline.com/network-design/high-speed-networks.html. [Accessed 9 Feb 2019].
[2] S. Haeri and L. Trajkovic, "Deflection Routing in Complex Networks," in Complex Systems and Networks, Berlin, Springer, 2015, pp. 395-422.
[3] C. Qioa and M. Yoo, "Optical burst switching (OBS) - a new paradigm for an optical internet," Journal of High Speed Networks, vol. 8, no. 1, pp. 69-84, Mar. 1999.
[4] A. Zalesky, H. Vu, Z. Rosberg, E. Wong, and M. Zukerman, "OBS contention resolution performance," Performance Evaluation, vol. 64, no. 4, p. 357-373, May 2007.
[5] D. H. Patel and D. K. Kothari, "Overview and framework for dynamic deflection contention resolution in OBS network," in 2013 Nirma University International Conference on Engineering (NUiCONE), Ahmendabad, India, Nov 2013.
[6] S. Haeri and L. Trajkovic, "Intelligent deflection routing in buffer-less networks," IEEE Transactions on Cybernetics, vol. 45, no. 2, pp. 316-327, Feb. 2015.

Analysis of Wormhole Attacks in MANET using Riverbed Modeler v17.5

Abstract:

Mobile Ad-hoc Networks (MANETs), which are infrastructure-less based network with wireless links are very effective for wireless communications but they are also very vulnerable to malignant attacks such as Blackhole, Wormhole and Sybil attacks. Therefore, important security measures are required for securing the routes, and packet delivery operations for the prevention of such attacks. In this project, we will present an analysis of wormhole attacks in MANETs using the AODV routing protocol and using the Riverbed Modeler . The performance results will be analyzed based on parameters such as throughput, packet loss, and delay times, etc.

References:
[1] A. Gupta, V. J. Priyanka, and S. Upadhyay, "Analysis of wormhole attack in AODV based MANET using Opnet simulator," International Journal of Computing, Communications and Networking, vol. 1, no. 2, Oct. 2012.
[2] N. Sugirtham and R. Sherine Jenny, "An evaluation on the performance of wireless sensor network with wormhole attack," International Journal of Networks and Applications, vol. 6, no. 1 (2015), pp. 11-18.
[3] A. K. Fatehpuria and S. Raghuwanshi, "An efficient wormhole prevention in MANET through digital signature," International Journal of Emerging Technology and Advanced Engineering, vol. 3, issue 3, March 2013.
[4] M. Sadeghi and S. Yahya, "Analysis of wormhole attack on MANETs using different MANET routing protocols," IEEE, 2012.
[5] R. Das, S. Bal, S. Das, D. Majumder, M. K. Sarkar, A. Chakraborty, and K. Majumder, "Performance analysis of various attacks under AODV in WSN & MANET using OPNET 14.5," IEEE, 2016.

Simulation of Virtual Network Embedding Algorithm and Topology for Data Center Networks using VNE-Sim

Abstract:

Efficient and scalable Data Center Networks (DCNs) are a key infrastructure that influences the success of stable cloud computing. Network Virtualization in these Data Centers interconnects multiple Virtual Networks on a shared physical substrate. In recent years, the growing role of data center networking has drawn attention to Virtual Network Embedding (VNE), which is acknowledged as an essential area in network virtualization. In this project, we simulate VNE algorithm (tbd) and topology (tbd) for DCN using VNE-Sim, a simulator that allows reproduction of various topologies of DCNs and Internet Service Providers (ISPs) for assessments of VNE algorithms.

References:
[1] M. Chowdhury, M. R. Rahman, and R. Boutaba, "ViNEYard: Virtual network embedding algorithms with coordinated node and link mapping," IEEE/ACM Trans. Netw., vol. 20, no. 1, pp. 206-219, Feb. 2012.
[2] S. Haeri and Lj. Trajkovic, "VNE-Sim: a virtual network embedding simulator," in Proc. SIMUTOOLS, Prague, Czech Republic, Aug. 2016, pp. 112-117.
[3] H. Ben Yedder, Q. Ding, U. Zakia, Z. Li, S. Haeri, and Lj. Trajkovic, "Comparison of virtualization algorithms and topologies for data center networks," in Proc. The 26th International Conference on Computer Communications and Networks (ICCCN 2017), 2nd Workshop on Network Security Analytics and Automation (NSAA), Vancouver, Canada, Aug. 2017.
[4] S. Haeri and Lj. Trajkovic, "Virtual network embeddings in data center networks," IEEE Int. Symp. Circuits and Systems, Montreal, Canada, May 2016, pp. 874-877.
[5] H. Yu, V. Anand, C. Qiao, H. Di, and X. Wei, "A cost efficient design of virtual infrastructures with joint node and link mapping,' J. Netw. and Syst. Management, vol. 20, no. 1, pp. 97-115, Sept. 2012.

Software Defined Networking for Mobile Ad-hoc Networks

Abstract:

Today, the network switches require reconfigurations very rapidly, as the data forwarding plane and control plane are placed together in same devices. It makes the working of switches complex and results in delayed delivery. Software Defined Networking decouples the control plane from data plane and centralize network intelligence in one network component by disassociating the forwarding process of network packets from the routing process. SDN offers several benefits for networking such as scalability, reliability, cost effectiveness, network security, etc. The aim of this project is to demonstrate capability of SDN by analyzing its usage in Mobile Ad-hoc Networks for concepts like peer to peer file sharing.

References:
[1] A. Aliyu, P. Bull, and A. Abdallah, "Performance Implication and Analysis of the OpenFlow SDN Protocol," in Proc of the 31st Int. Conf on Advanced Information Networking and Applications Workshops (WAINA), 2017, Taipei, Taiwan, March 27-29, 2017
[2] Alexander Gelberger, Niv Yemini, and Ran Giladi, "Performance Analysis of Software-Defined Networking (SDN)", in Proc. 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems, August 2013, San Fansisco, CA USA
[3] R. Masoudi and A. Ghaffari, "Software defined networks: A survey," Journal of Network and Computer Applications, vol. 67, pp. 1-25, May 2016
[4] A. L. Stancu, S. Halunga, A. Vulpe, G. Suciu, O. Fratu, and E. C. Popovici, "A comparison between several software defined networking controllers," in Proc. Int. Conf. on Telecommun. in Modern Satellite, Cable and Broadcasting Services, Nis, Serbia, Dec. 2015, pp. 223-226.
[5] I. Ku, Y. Lu, and M. Gerla, "Software-defined mobile cloud: Architecture, services and use cases," in Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International, Aug 2014, pp. 1-6.

Simulation of Sybil Attack on Vehicular Ad Hoc Network (VANET)

Abstract:

Vehicular Ad Hoc Network is a form of Mobile Ad Hoc Network which is developed purposefully for the communication between vehicle to vehicle and vehicle to base station. In such type of network, vehicle will be the node which will communicate with other vehicles (nodes) and with base station node on side of roads by transferring sensitive information. Such type of topology presents challenges in terms of high speed mobile nodes, fast changing dynamic network topology, security and privacy of each vehicle. In our project, we have decided to analyze Sybil attack security threat on VANET. Sybil attack is where malicious node can acquire multiple identities thus resulting in wrong information sent between vehicles and between vehicle and road side units. We will deploy VANET topology and implement Sybil attack to study the affects on data transmission in Riverbed Modeler Academic Edition 17.5.

References:
[1] S. U. Rehman, M. A. Khan, T. A. Zia, and L. Zheng, “Vehicular Ad-Hoc Networks (VANETS) - An overview and Challenges," Journal of Wireless Networking and Communications, January 2013, 3(3):29-38.
[2] Gu, R. Khatoun, Y. Begriche, and A. Serhrouchni, "k-Nearest Neighbours Classification Based Sybil Attack Detection in Vehicular Networks," TELECOM ParisTech, Universit´e Paris-Saclay, 75013, Paris, France.
[3] Park, B. Aslam, D. Turgut, and C. C. Zou, "Defense Against Sybil Attackin Vehicular Ad Hoc Network Basedon Roadside Unit Support," School of Electrical Engineering and Computer Science University of Central Florida,Paper ID# 900042.
[4] Guette and B. Ducourthial, "On the Sybil attack detection in VANET," Proc. of IEEE International Conference on Mobile Adhoc and Sensor Systems, 2007 [5]
Zhou, R. R. Choudhury, P. Ning and K. Chakrabarty, "Privacy-Preserving Detection of Sybil Attacks in Vehicular Ad Hoc Networks," Proc. of International Conference on MobiQuitous 2007, pp. 1-8, 2007.

Simulation and Analysis of Quality of Service for Smart Home Appliances Through Multi-Nodes Wireless Sensor Networks

Abstract:

Wireless sensor network (WSN) is gradually becoming an essential part of our life due to the rapid increment of usage of smart devices in our daily life. By thinking of smart device, it will be a mistake to consider only mobile phones because nowadays home appliances are also becoming smart and remote controlled. To implement a low-cost automation system for our daily home appliances, Wi-Fi is our desired protocol which is based on the IEEE 802.11 standards. In this project, a Wi-Fi-based wireless network system will be designed with different scenarios to monitor and control a smartly connected environment. The riverbed modeler will be used to simulate and analyze the real-time data transmission and reception to determine the quality of service (QoS) and the performance of other parameters of the wireless sensor networks.

References:
[1] Krupanek, B. and Bogacz, R. (2016). OPNET Modeler simulations of performance for multi nodes wireless systems. [online] Metrology-journal.org. Available at: https://www.metrology-journal.org/articles/ijmqe/pdf/2016/01/ijmqe151046.pdf [Accessed 10 Feb. 2019].
[2] R. Kavitha, "Smart Home Systems Using Wireless Sensor Network - A Comparative Analysis", ResearchGate, 2012. [Online]. Available: https://www.researchgate.net/publication/256043146_Smart_Home_Systems_Using_Wireless_Sensor_Network_-A_Comparative_Analysis. [Accessed: 11- Feb- 2019].
[3] G. Malik and A. Singh, "Performance Evaluation of WiFi and WiMax Using Opnet", Pdfs.semanticscholar.org, 2013. [Online]. Available: https://pdfs.semanticscholar.org/4e29/a8a859b4f860c40411bc6eeb597811907a2b.pdf. [Accessed: 11- Feb- 2019].
[4] Xie, L. and Shi, Y. (2014). Multi-Node Wireless Energy Charging in Sensor Networks - IEEE Journals & Magazine. [online] Ieeexplore.ieee.org. Available at: https://ieeexplore.ieee.org/document/6747384 [Accessed 11 Feb. 2019].
[5] Abdulazeez, S. and Rhalibi, A. (2016). Simulation of Massively Multiplayer Online Games communication using OPNET custom application - IEEE Conference Publication. [online] Ieeexplore.ieee.org. Available at: https://ieeexplore.ieee.org/document/7543721 [Accessed 11 Feb. 2019].