Vehicular Ad-Hoc Networks (VANETS) Security: Review and Challenges

Vehicular Ad-Hoc Network (VANET) has become a popular research area as it has tremendous capacity to improve vehicle and road safety, traffic management and convenience as well as comfort to both drivers and passengers. Vehicular Ad-hoc Networks (VANETs) are trying to find solution to avoid accidents and control traffic. It (VANET) is a piece of critical infrastructure that boosts traffic management efficiency and road safety. At present research efforts have placed a strong significance on novel VANET architectures and design implementations. A lot of VANET research works have focused on specific areas including broadcasting, navigation, Quality of Service (QoS), and security. This survey paper sheds some light on VANETs’ vulnerabilities and attacks. It surveys and examines some recent security problems and limitations of solutions. We observed that security is the key parameter for success of any VANET applications. There are still many critical challenges that should be taken into account such as privacy preservation, productivity, and usability. Therefore, the door for future research and efforts is open for more contributions in the field of Vehicular Ad-Hoc Networks VANET

Enhanced group-based wireless ad-hoc sensor network protocol

[EN] Communication is the major energy consumption source in wireless ad-hoc sensor networks. Thus, an efficient tradeoff between the energy cost of the communication and network's performance is a key challenge in conceiving a wireless ad-hoc sensor network. In this article, we propose an improved group-based architecture for wireless ad-hoc sensor networks. An optimized group forming procedure and an efficient communication operation are introduced. In order to validate the proposed approach, we suggest a group-based strategy to monitor pharmaceutical drugs during transportation. Real measurements of temperature and vibration were performed to validate the effectiveness of our approach.Khedher, M.; Lloret, J.; Douik, A. (2016). Enhanced group-based wireless ad-hoc sensor network protocol. International Journal of Distributed Sensor Networks. 12(7):1-18. https://doi.org/10.1177/1550147716659427S118127Dargie, W., & Poellabauer, C. (2010). Fundamentals of Wireless Sensor Networks. doi:10.1002/9780470666388Singh, S. P., & Sharma, S. C. (2015). A Survey on Cluster Based Routing Protocols in Wireless Sensor Networks. Procedia Computer Science, 45, 687-695. doi:10.1016/j.procs.2015.03.133Liao, Y., Qi, H., & Li, W. (2013). Load-Balanced Clustering Algorithm With Distributed Self-Organization for Wireless Sensor Networks. IEEE Sensors Journal, 13(5), 1498-1506. doi:10.1109/jsen.2012.2227704Peng, I.-H., & Chen, Y.-W. (2013). Energy consumption bounds analysis and its applications for grid based wireless sensor networks. Journal of Network and Computer Applications, 36(1), 444-451. doi:10.1016/j.jnca.2012.04.014Lloret, J., Garcia, M., Tomás, J., & Boronat, F. (2008). GBP-WAHSN: A Group-Based Protocol for Large Wireless Ad Hoc and Sensor Networks. Journal of Computer Science and Technology, 23(3), 461-480. doi:10.1007/s11390-008-9147-6Lloret, J., García, M., Boronat, F., & Tomás, J. (s. f.). MANET Protocols Performance in Group-based Networks. IFIP International Federation for Information Processing, 161-172. doi:10.1007/978-0-387-84839-6_13Lloret, J., Garcia, M., & Tomas, J. (s. f.). Improving Mobile and Ad-hoc Networks performance using Group-Based Topologies. Wireless Sensor and Actor Networks II, 209-220. doi:10.1007/978-0-387-09441-0_18Lloret, J., Palau, C., Boronat, F., & Tomas, J. (2008). Improving networks using group-based topologies. Computer Communications, 31(14), 3438-3450. doi:10.1016/j.comcom.2008.05.030Garcia, M., Sendra, S., Lloret, J., & Canovas, A. (2011). Saving energy and improving communications using cooperative group-based Wireless Sensor Networks. Telecommunication Systems, 52(4), 2489-2502. doi:10.1007/s11235-011-9568-3Garcia, M., & Lloret, J. (2009). A Cooperative Group-Based Sensor Network for Environmental Monitoring. Cooperative Design, Visualization, and Engineering, 276-279. doi:10.1007/978-3-642-04265-2_41Shaikh, R. A., Jameel, H., d’ Auriol, B. J., Heejo Lee, Sungyoung Lee, & Young-Jae Song. (2009). Group-Based Trust Management Scheme for Clustered Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems, 20(11), 1698-1712. doi:10.1109/tpds.2008.258Chen, Y.-S., Hsu, C.-S., & Lee, H.-K. (2014). An Enhanced Group Mobility Protocol for 6LoWPAN-Based Wireless Body Area Networks. IEEE Sensors Journal, 14(3), 797-807. doi:10.1109/jsen.2013.2287895Yao-Chung Chang, Zhi-Sheng Lin, & Jiann-Liang Chen. (2006). Cluster based self-organization management protocols for wireless sensor networks. IEEE Transactions on Consumer Electronics, 52(1), 75-80. doi:10.1109/tce.2006.1605028Fazio, P., De Rango, F., Sottile, C., & Santamaria, A. F. (2013). Routing Optimization in Vehicular Networks: A New Approach Based on Multiobjective Metrics and Minimum Spanning Tree. International Journal of Distributed Sensor Networks, 9(11), 598675. doi:10.1155/2013/598675Saravanan, M., & Madheswaran, M. (2014). A Hybrid Optimized Weighted Minimum Spanning Tree for the Shortest Intrapath Selection in Wireless Sensor Network. Mathematical Problems in Engineering, 2014, 1-8. doi:10.1155/2014/71342

Spontaneous ad hoc mobile cloud computing network

Cloud computing helps users and companies to share computing resources instead of having local servers or personal devices to handle the applications. Smart devices are becoming one of the main information processing devices. Their computing features are reaching levels that let them create a mobile cloud computing network. But sometimes they are not able to create it and collaborate actively in the cloud because it is difficult for them to build easily a spontaneous network and configure its parameters. For this reason, in this paper, we are going to present the design and deployment of a spontaneous ad hoc mobile cloud computing network. In order to perform it, we have developed a trusted algorithm that is able to manage the activity of the nodes when they join and leave the network. The paper shows the network procedures and classes that have been designed. Our simulation results using Castalia show that our proposal presents a good efficiency and network performance even by using high number of nodes.Lacuesta, R.; Lloret, J.; Sendra, S.; Peñalver Herrero, ML. (2014). Spontaneous ad hoc mobile cloud computing network. Scientific World Journal. 2014:1-19. doi:10.1155/2014/232419S1192014Rodrigues, J. J. P. C., Zhou, L., Mendes, L. D. P., Lin, K., & Lloret, J. (2012). Distributed media-aware flow scheduling in cloud computing environment. Computer Communications, 35(15), 1819-1827. doi:10.1016/j.comcom.2012.03.004Feeney, L. M., Ahlgren, B., & Westerlund, A. (2001). Spontaneous networking: an application oriented approach to ad hoc networking. IEEE Communications Magazine, 39(6), 176-181. doi:10.1109/35.925687Fernando, N., Loke, S. W., & Rahayu, W. (2013). Mobile cloud computing: A survey. Future Generation Computer Systems, 29(1), 84-106. doi:10.1016/j.future.2012.05.023Lacuesta, R., Lloret, J., Garcia, M., & Peñalver, L. (2013). A Secure Protocol for Spontaneous Wireless Ad Hoc Networks Creation. IEEE Transactions on Parallel and Distributed Systems, 24(4), 629-641. doi:10.1109/tpds.2012.168Lacuesta, R., Lloret, J., Garcia, M., & Peñalver, L. (2011). Two secure and energy-saving spontaneous ad-hoc protocol for wireless mesh client networks. Journal of Network and Computer Applications, 34(2), 492-505. doi:10.1016/j.jnca.2010.03.024Lacuesta, R., Lloret, J., Garcia, M., & Peñalver, L. (2010). A Spontaneous Ad Hoc Network to Share WWW Access. EURASIP Journal on Wireless Communications and Networking, 2010(1). doi:10.1155/2010/232083Lacuesta, R., Palacios-Navarro, G., Cetina, C., Peñalver, L., & Lloret, J. (2012). Internet of things: where to be is to trust. EURASIP Journal on Wireless Communications and Networking, 2012(1). doi:10.1186/1687-1499-2012-203Capkun, S., Buttyan, L., & Hubaux, J. (2003). Self-organized public-key management for mobile ad hoc networks. IEEE Transactions on Mobile Computing, 2(1), 52-64. doi:10.1109/tmc.2003.1195151Goodman, J., & Chandrakasan, A. (2000). An Energy Efficient Reconfigurable Public-Key Cryptography Processor Architecture. Lecture Notes in Computer Science, 175-190. doi:10.1007/3-540-44499-8_13Mayrhofer, R., Ortner, F., Ferscha, A., & Hechinger, M. (2003). Securing Passive Objects in Mobile Ad-Hoc Peer-to-Peer Networks. Electronic Notes in Theoretical Computer Science, 85(3), 105-121. doi:10.1016/s1571-0661(04)80687-xMendes, L. D. P., Rodrigues, J. J. P. C., Lloret, J., & Sendra, S. (2014). Cross-Layer Dynamic Admission Control for Cloud-Based Multimedia Sensor Networks. IEEE Systems Journal, 8(1), 235-246. doi:10.1109/jsyst.2013.2260653Dutta, R., & B, A. (2014). Protection of data in unsecured public cloud environment with open, vulnerable networks using threshold-based secret sharing. Network Protocols and Algorithms, 6(1), 58. doi:10.5296/npa.v6i1.486

Spectrum sharing security and attacks in CRNs: a review

Cognitive Radio plays a major part in communication technology by resolving the shortage of the spectrum through usage of dynamic spectrum access and artificial intelligence characteristics. The element of spectrum sharing in cognitive radio is a fundament al approach in utilising free channels. Cooperatively communicating cognitive radio devices use the common control channel of the cognitive radio medium access control to achieve spectrum sharing. Thus, the common control channel and consequently spectrum sharing security are vital to ensuring security in the subsequent data communication among cognitive radio nodes. In addition to well known security problems in wireless networks, cognitive radio networks introduce new classes of security threats and challenges, such as licensed user emulation attacks in spectrum sensing and misbehaviours in the common control channel transactions, which degrade the overall network operation and performance. This review paper briefly presents the known threats and attacks in wireless networks before it looks into the concept of cognitive radio and its main functionality. The paper then mainly focuses on spectrum sharing security and its related challenges. Since spectrum sharing is enabled through usage of the common control channel, more attention is paid to the security of the common control channel by looking into its security threats as well as protection and detection mechanisms. Finally, the pros and cons as well as the comparisons of different CR - specific security mechanisms are presented with some open research issues and challenges