Doctorat en Mathématique & Informatique

Permanent URI for this collection

https://dspace.univ-chlef.dz/handle/123456789/347

Département de Mathématique & Informatique

Université Hassiba Benbouali de Chlef,
Faculté des sciences BP 151
Hay Salem, route nationale N° 19
02000 Chlef, Algérie
Tel: 027-72-70-17
Email: Bio_uhbc@univ-chlef.dz

Browse

Browsing Doctorat en Mathématique & Informatique by Author "Chaib, mostefa"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Biometric Security in IoT Application of Smart City
    (TAHAR ABBES Mounir / ALLALI Mohamed Abdelmadjid, 2024) Chaib, mostefa
    The Internet of Things (IoT) refers to the interconnection of various objects in our daily life, including cars, refrigerators, cell phones, smart doors, patient monitoring devices, and any other monitoring equipment. These devices are equipped with a smart sensor, an actuator, and internet connectivity, allowing them to exchange, gather, and send data to a remote server. IoT is a hybrid of various core forms of technology with varying levels of communication. Many existing IoT systems rely on a number of protocols and technologies. This causes complications with IoT connectivity and networking. Our thesis focuses on LoRaWAN networks because of their flexibility, as well as the fact that wireless communication takes advantage of the LoRa physical layer’s long-range properties. The different levels’ requirements necessitate varying levels of security. Researchers strongly recommend deploying biometric security devices at levels where direct human access is essential. Biometric security offer a scalable solution for IoT that combats unauthorized access and credential swapping. Indeed, the biometric traits of human organs serve as a unique identity for each individual since they are universal, permanent, distinct, and work perfectly. This identification will be regarded as critical data to be transmitted in the IoT network; as a result, packet loss should be minimal and packet delivery ratio high. This data will be shared over the same medium, posing a significant collision risk that must be addressed and avoided. Collisions occur in wireless communication due to the large number of nodes sharing the same channel. As a result, substantial amounts of data are lost. To avoid this issue, Networks Communications employs the CSMA method for detecting channel occupancy by measuring the carrier’s Received Signal Strength Indication (RSSI). However, the known CSMA is inefficient in LoRa-based networks, such as LoRaWAN, which employs the ALOHA protocol. Because the receiver can demodulate signals even below the noise floors, LoRa wireless communication uses the Channel Activity Detection (CAD) approach to avoid collisions. This study makes a contribution by integrating a new LoRaWAN module into the NS3 simulator and introducing a novel CSMA method called FT-CSMA, which is based on the well-known CSMA used in WIFI IEEE 802.11 and WSN IEEE 802.15.4. In this work, we describe some interesting areas of IoT use while highlighting their faults and limits. We then provide our proposal to alleviate one of these restrictions. Finally, we present the IoT applications with biometric security methods that have been developed the most by scientists.