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Counter measures against replay attacks on LoRaWAN based devices in IoT networks

Show simple item record Jallad, Maher Elie 2021-09-23T08:57:10Z 2021-09-23T08:57:10Z 2019 2019
dc.identifier.other b25886253
dc.description Thesis. M.S. American University of Beirut. Computational Sciences Program 2019. T:7135.
dc.description Advisor : Dr. Haidar, Safa, Professor, Computer Science ; Members of Committee : Dr. Wassim El Hajj, Associate Professor, Computer Science ; Dr. Mohamad Nassar, Assistant Professor, Computer Science ; Dr.Alexandre Guitton, Professor, Computer Science.
dc.description Includes bibliographical references (leaves 65-69)
dc.description.abstract Recently, LoRaWAN became one of the most important low power network technologies. In fact, it can be considered as one of the most efficient technologies for the Internet of Things (IoT). Indeed, LoRaWAN offers long range, low-power, and low-data-rate. However, it faces diff rent challenges such as availability, authentication and integrity attacks that were presented recently. One of the dangerous attacks is a replay attack in the Activation by Personalization (ABP) that can lead to a selective denial-of-service on individual end devices. In this thesis we aim to strengthen the IoT security measures in the ABP or Activation by Personalization joint procedure during key generation and exchanging process, by introducing a modification on the key management exchange of both the network and application keys.
dc.format.extent 1 online resource (xi, 69 leaves)
dc.language.iso en
dc.subject.classification T:007135
dc.subject.lcsh Internet of things.
dc.subject.lcsh Computer networks -- Security measures.
dc.title Counter measures against replay attacks on LoRaWAN based devices in IoT networks
dc.type Thesis
dc.contributor.department Computational Sciences Program
dc.subject.classificationsource AUBNO
dc.contributor.faculty Faculty of Arts and Sciences.
dc.contributor.institution American University of Beirut.

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