The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A hybrid secure routing and monitoring mechanism in IoT-based wireless sensor networks
Abstract
Abstract Internet of Things (IoT) has advanced its pervasiveness across the globe for the development of smart networks. It is aimed to deploy network edge that enables smart services and computation for the IoT devices. In addition, this deployment would not only improve the user experience but also provide service resiliency in case of any catastrophes. In IoT applications, the edge computing exploits distributed architecture and closeness of end-users to provide faster response and better quality of service. However, the security concern is majorly addressed to resist the vulnerability of attacks (VoA). Existing methodologies deal only with static wireless sensor web to deduce the intrusions in which the sensor nodes are deployed in a uniform manner to retain the constancy. Since the sensor nodes are constantly being in question through different transmission regions with several levels of velocities, selection of sensor monitoring nodes or guard nodes has become a challenging job in recent research. In addition, the adversaries are also moving from one location to another to explore its specific chores around the network. Thus, to provide flexible security, we propose a secure routing and monitoring protocol with multi-variant tuples using Two-Fish (TF) symmetric key approach to discover and prevent the adversaries in the global sensor network. The proposed approach is designed on the basis of the Authentication and Encryption Model (ATE). Using Eligibility Weight Function (EWF), the sensor guard nodes are selected and it is hidden with the help of complex symmetric key approach. A secure hybrid routing protocol is chosen to be built by inheriting the properties of both Multipath Optimized Link State Routing (OLSR) and Ad hoc On-Demand Multipath Distance Vector (AOMDV) protocols. The result of the proposed approach is shown that it has a high percentage of monitoring nodes in comparison with the existing routing schemes. Moreover, the proposed routing mechanism is resilient to multiple mobile adversaries; and hence it ensures multipath delivery.
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Citations
Cites
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Buczak, A. L., & Guven, E. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2494502 · Cited by 3,332
Fadlullah, Z. M., Tang, F., Mao, B., Kato, N., Akashi, O., Inoue, T., & Mizutani, K. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2707140 · Cited by 810
Smart Parking in IoT-Enabled Cities: A Survey
Al-Turjman, F., & Malekloo, A. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2019.101608 · Cited by 340
Self-citationApplying intrusion detection systems to wireless sensor networks
Roman, R., Zhou, J., & Lopez, J. (2006) · CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006. · doi:10.1109/ccnc.2006.1593102 · Cited by 231
Cited by
Intelligence in the Internet of Medical Things era: A systematic review of current and future trends
Al-Turjman, F., Nawaz, M. H., & Ulusar, U. D. (2020) · Computer Communications · doi:10.1016/j.comcom.2019.12.030 · Cited by 339
Self-citation
Metadata
- Authors
- B.D., D., & Al-Turjman, F.
- Venue
- Ad Hoc Networks
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 97
- Pages
- 102022
- ISSN
- 1570-8705 (ISSN-L)
- OpenAlex
- W2980939522
- Cited by
- 227
- References
- 4
- FWCI
- 16.39
- Type
- journal article
- Language
- en
- Open access
- closed
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