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DoS detection in WSNs: Energy-efficient methods for selecting monitoring nodesConcurrency and Computation: Practice and Experience, 2017, 29 (23), ⟨10.1002/cpe.4266⟩
Journal articles
hal-01860370v1
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Timed automata based modeling and verification of denial of service attacks in wireless sensor networksStudia Informatica Universalis, 2014, 12 (1), pp 1−46
Journal articles
hal-01132722v1
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Fair Election of Monitoring Nodes in WSNsIEEE Global Communications Conference (GLOBECOM, GC’15), Dec 2015, San Diego, United States
Conference papers
hal-01314197v1
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Predicting the Effects of DDoS Attacks on a Network of Critical InfrastructuresThirteenth IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC’15), Oct 2015, Liverpool, United Kingdom. ⟨10.1109/CIT/IUCC/DASC/PICOM.2015.256⟩
Conference papers
hal-01314192v1
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Energy-balancing method to detect denial of service attacks in wireless sensor networksIEEE International Conference on Communications (ICC'14), Jun 2014, Sydney, Australia. ⟨10.1109/ICC.2014.6883303⟩
Conference papers
hal-01132739v1
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Data protection in multipath WSNsThe 18th IEEE Symposium on Computers and Communications (ISCC'13), Jul 2013, Split, Croatia. ⟨10.1109/ISCC.2013.6754926⟩
Conference papers
hal-01132734v1
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A clustering method for wireless sensors networksThe 17th IEEE Symposium on Computers and Communications (ISCC'12), Jul 2012, Nevşehir, Turkey. ⟨10.1109/ISCC.2012.6249414⟩
Conference papers
hal-01132738v1
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DoS detection in WSNs: Energy-efficient designs and modeling tools for choosing monitoring nodesMohammad S. Obaidat; Faouzi Zaraia; Petros Nicopolitidis. Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications, Elsevier, pp.797−842, 2015, 9780128008874
Book sections
hal-01318714v1
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