Department of Computer Science

Permanent URI for this communityhttps://repository.cuilahore.edu.pk/handle/123456789/16

Browse

Author: search.filters.author.Dr. Tariq UmerSubject: search.filters.subject.sp21

Search Results

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Design and Development of a Secure and Light Weight User Authentication Scheme for Smart Home
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2022) Shiza Gul; SP21-RCS-011; LHR TP 8060; Dr. Tariq Umer
    The Internet of Things (IoT) is becoming more advanced day by day, in which smart homes provide different services of home to people. Users like the comfort of the use of home service that smart devices provide. But here is privacy and security in smart homes because smart devices and users perform communication across insecure channels. As smart devices with limited resources do not have the computing and storage capacity to create and execute existing methods that often require complicated computations, Smart Home Area Network (HAN) system experiences major problems in establishing strong authentication methods. Furthermore, the diverse nature of IoT nodes makes it difficult to create end-to-end device authentication in IoT systems. IoT devices commonly use poor authentication protocols. The primary barrier against numerous security attacks on IoT networks is authentication. To strengthen IoT privacy and security against frequent attacks like impersonation and replay attacks, this thesis analyses the research gaps and provides a new security mechanism and authentication technique. By providing a lightweight mutual-authentication and key exchange protocol for IoT based identity and continuously chained hash in HAN, this research improves IoT privacy and security. Using temporary symmetric keys and identities, devices may mutually authenticate and create a connection with the gateway node in an untraceable method. To verify the sender's identity, the Continuous chained-hash approach is presented (through a response challenge). The session keys are often updated after each data transmission to maintain forward secrecy. The proposed method provides authentication while ensuring that IoT device transactions cannot be tracked. Three different techniques are used to assess and simulate the security of the protocols; formal analysis that used the Burrows-Abadi-Needham logic (BAN), informal analysis, and model-checking that used the automated validation of Internet security protocols and applications (AVISPA) tool. The cost and effectiveness of the proposed method are evaluated and compared with other relevant protocols. The outcomes demonstrated that our techniques are more effective.
  • No Thumbnail Available
    Item
    Data Driven Vehicular Heterogeneity based Intelligent Collision Avoidance System for IoV
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2022) Iqra Adnan; SP21-RCS-004; LHR TP 8056; Dr. Tariq Umer
    The Internet of Vehicles (IoV) is becoming a trending field of research for researchers. Its implementation in the real world is increasing day by day to facilitate drivers in driving and provide safe road conditions to travelers to be safe from accidents. Many research studies on IoV focused on the issue of collision avoidance between vehicles on the road. Companies like the world’s biggest car company TESLA use IoV and certain machine learning algorithms to make their cars autonomous. Keeping in view the importance of collision avoidance issues between vehicles on the road. Our proposed work is to perform an analysis of real-life vehicular data based on the characteristics of different types of vehicles moving on the roads. Due to the heterogeneousness of the types of vehicles (cars, buses), their parameters are also different. From the vehicular data based on this heterogeneousness, we intended to find out the different parameters’ roles for the collision avoidance system. Using the capabilities of machine learning techniques on the gathered data, a framework for the collision avoidance system is suggested for vehicles on the roads. Performance analysis of the framework for predicting the accident well before the time for the drivers is presented for better road conditions.