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Rihab Abidi

Informations générales

Rihab Abidi
Grade

Assistant

Biographie courte

Rihab Abidi holds a PhD in Computer Science, jointly awarded by the University of Tunis and Normandy University (France), under an international co-supervision agreement. Her research interests include cybersecurity, trust management, and secure multi-sensor data aggregation in smart and autonomous environments. Her doctoral research focused on trust management and secure decision-making in cooperative intelligent transportation systems (ITS), addressing challenges such as road traffic congestion, malicious or erroneous data injection, and the reliability of shared information in dynamic cyber-physical environments.

She also holds a master’s degree in Science and Technology of Decision-Making from the Higher Institute of Management of Tunis. Her earlier work proposed an adaptive trust management model to assist nodes in selecting trusted service providers in the Social Internet of Things (SIoT) context, and a trust model for evaluating the accuracy of shared speed information to detect malicious vehicles in Vehicular Ad-hoc Networks (VANETs).

Dr. Abidi has teaching experience in both French and English, having taught at the Higher Institute of Management of Tunis and at the German University of Technology in Oman. She has also supervised student projects and contributed to international collaborations and grant-funded initiatives in the fields of AI, cybersecurity, and intelligent systems.

Axes de recherche

Trust Management
Cyber Security

Publications

  • 2024
    Rihab Abidi, Nadia Ben Azzouna, Wassim Trojet, Ghaleb Hoblos, Nabil Sahli

    A study of mechanisms and approaches for IoV trust models requirements achievement

    Journal of Supercomputing, 80(3)., 2024

    Résumé

    Intelligent Transportation Systems (ITS) are a promising research area that offers a variety of applications. The objective of these applications is to enhance road safety, to optimize traffic efficiency, and to provide a better driving experience. Yet, the efficiency of ITS applications, such as safety and driver assistance applications, relies essentially on the exchanged data between different entities of the network. Accordingly, trust management models are used to guarantee the quality of the data and to eliminate malicious and selfish nodes to secure vehicular communications. In this paper, we pay a special attention to the requirements of trust management models used in the context of ITS applications. We also dissected the trust model to extract the mechanisms used in the literature to fulfil the identified requirements. Furthermore, we present the most known simulators and evaluation metrics that are used to validate the proposed models. The aim of this study is to provide a global overview of the mechanisms that may be used to fulfil the crucial requirements of trust management models. For this purpose, we employed a systematic mapping study, through which we carefully analysed 60 selected articles. Through our analysis, five main requirements were identified: scalability, accuracy, robustness, privacy preservation, appropriate response time. Different mechanisms and techniques were applied to meet with the identified requirements. Two main findings are reported: (1) The accuracy and robustness requirements are the most considered requirements. On the other hand, the privacy requirement is the least covered by the publications, (2) the majority of the reviewed papers focus on addressing two or three requirements at most. A little number of publications covered all the requirements. Based on the identified research gaps, we highlight some future directions that may be investigated. We provide general recommendations that may serve as a guideline for researchers who want to design trust models that fulfil certain requirements.

    Malek Lachheb, Rihab Abidi, Nadia Ben Azzouna, Nabil Sahli

    Infrastructure-Based Communication Trust Model for Intelligent Transportation Systems.

    In VEHITS (pp. 513-521)., 2024

    Résumé

    Intelligent Transportation Systems (ITS) aim to enhance traffic management through Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Infrastructure-to-Infrastructure (I2I) communications. However, the wireless medium and dynamic nature of these networks expose them to security threats from faulty nodes or malicious attacks. While cryptography-based mechanisms provide security against outsider attacks, the network remains vulnerable to attacks from legitimate but malicious nodes. Trust models have hence been proposed to evaluate node and data credibility to make informed security decisions. Existing models are either vehicle-centric with limited stability due to mobility or infrastructure-based with risks of single points of failure. This paper proposes a self-organizing, infrastructure-based trust model for securing ITS communication leveraging Smart Roadside Signs (SRSs). The model introduces a trust-based clustering algorithm using a fuzzy-based Dempster Shafer Theory (DST). This eliminates dependence on external trusted authorities while enhancing stability through infrastructure oversight. The decentralized trust formation and adaptive clustering balance security assurance with scalability. The results of the simulations show that our model is resilient against on-off attack, packet drop attack, jamming attack, bad-mouthing attack and collusion attack.
  • Ilhem Souissi, Rihab Abidi, Nadia Ben Azzouna, Tahar Berradia, Lamjed Ben Said

    ECOTRUST: A novel model for Energy COnsumption TRUST assurance in electric vehicular networks

    Ad Hoc Networks, 149, 103246., 2023

    Résumé

    Electric Vehicles (EVs) emerged new kinds of applications that strongly depend upon the energy information such as identifying the optimal path towards the vehicle’s destination where the EV maximizes the recovered electrical power, displaying the energetic map that provides an overview about the required energy consumption on each lane, etc. The quality of these applications relies on the reliability of the vehicle-related information (e.g. location, energy consumption). EVs may provide wrong energy information due to sensors’ failure, selfish or malicious reasons. To this aim, a fuzzy-based energy consumption trust (ECOTRUST) model is proposed herein to evaluate the quality of energy information based on two fuzzy inference systems: Instant Energy Trust (IEN-Trust) and Total Energy Trust (TEN-Trust) systems. IEN-TRUST relies on a series of plausibility checks to evaluate the coherence between the reported energy information and other parameters (slope degree, speed and acceleration rate) while TEN-TRUST relies on the similarity between neighbouring vehicles. The performance of the ECOTRUST model is evaluated in terms of the system’s robustness and accuracy under different traffic intensities. We varied the traffic volume and the percentage of malicious vehicles and their behaviours. Results show that IEN-TRUST is resilient to false messages with/without the collusion attack. However, it is unable to deal with complex behaviours of malicious vehicles (e.g. on-off attack, bush telegraph). TEN-TRUST was proposed to deal with the latter issue. Simulation results show that it can accurately deal with complex behaviours in different traffic volumes.
    Rihab Abidi, Nabil Sahli, Wassim Trojet, Nadia Ben Azzouna, Ghaleb Hoblos

    An Infrastructure-Based Trust Management Framework for Cooperative ITS.

    In VEHITS (pp. 329-336)., 2023

    Résumé

    Intelligent Transportation Systems (ITSs) have been exploited by developed countries to enhance the quality of transportation services. However, these systems are still facing major bottlenecks to be addressed such as the data density, precision and reliability of perceived data and computational feasibility of the nodes. Trust management is a mechanism applied to secure the vehicular networks. However, most of the proposed trust models that are applied to Vehicular Ad-hoc NETwork (VANET) do not address all the aforementioned challenges of ITS. In this paper, we present a comprehensive framework of trust management specifically designed for ITS applications. The proposed framework is an infrastructure-based solution that relies on Smart Road Signs (SRSs) to assess the trustworthiness of traffic data and nodes of the network. The idea of the framework is to use autonomous SRSss that are able to collect raw data and evaluate it in order to alert the drivers with reliable traffic information in real time. We adopt a hierarchical architecture that exploits a two-level trust evaluation to ensure accuracy, scalability, security and high reactivity of ITS applications. A discussion of the framework and its strengths is presented.
    Rihab Abidi, Nabil Sahli, Nadia Ben Azzouna, Wassim Trojet, Ghaleb Hoblos

    Monitoring Traffic Congestion Using Trust-Based Smart Road Signs

    In: Klein, C., Jarke, M., Ploeg, J., Berns, K., Vinel, A., Gusikhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2023 2023. Communications in Computer and Information Science, vol 1989. Springer, Cham., 2023

    Résumé

    The evolution of Intelligent Transportation Systems (ITSs) enabled the emergence of traffic management applications, with the aim to enhance the traffic flow and ease the congestion by monitoring the traffic. However, the efficiency of these applications resides on the accuracy of the shared traffic information. Accordingly, trust management models are applied to secure the Vehicular Ad-hoc NETwork (VANET) and to assess the reliability of the data shared within the vehicular network. In this paper, we propose a proof-of-concept of the trust framework proposed in . The main objective is to observe the utility of applying trust management models to the intelligent transportation systems. The simulation results show that deploying trust-based Smart Road Signs (SRSs) helps to alleviate the traffic congestion around junctions by displaying the traffic state to users and offering them the opportunity to take alternative roads.
  • Ilhem Souissi, Nadia Ben Azzouna, Rihab Abidi, Tahar Berradia, Lamjed Ben Said

    SP-TRUST: a trust management model for speed trust in vehicular networks

    International Journal of Computers and Applications, 44(11), 1065-1073., 2022

    Résumé

    Information security mechanisms are crucial for Vehicular Ad-hoc NETworks (VANET) applications in order to preserve their robustness. The efficiency of these applications relies on the reliability of the used information, especially the vehicle-related information such as location and speed. Trust management models are crucial to evaluate the quality of the used information. Accordingly, we focus in this paper on the assessment of speed information to detect the malicious vehicles using a fuzzy-based model (SP-TRUST). The proposed model relies on two fuzzy inference systems. The first one evaluates the speed trust based on traffic rules (inter-vehicle distance) while considering the road topology (angle deviation) and the traffic state (density). The correlation between these parameters and the speed value is assessed. The second inference system assesses the speed trust based on the behavior of neighbor vehicles using the median speed of vehicles. Simulations were carried out to evaluate the robustness and the scalability of SP-TRUST model. The results of the experimental studies proved that the model performs well in detecting different behaviors of malicious vehicles in different scenarios, especially when the percentage of malicious vehicles is lower than 50%.

  • Rihab Abidi, Nadia Ben Azzouna

    abidi rihab Self-adaptive trust management model for social IoT services

    In 2021 International Symposium on Networks, Computers and Communications (ISNCC) (pp. 1-7). IEEE., 2021

    Résumé

    The paradigm of Social Internet of Things (SIoT) incorporates the concepts of social networking in the Internet of Things (IoT). The idea of SIoT is to allow objects to autonomously establish social relationships, which may facilitate network navigability and the discovery of information and services. The characteristics of the IoT such as the heterogeneity and the dynamicity of the network and the social relationships between devices lead to several challenges including how to build a reliable network. In this paper, we propose an adaptive trust management model that helps nodes seeking trusted service providers. The trustworthiness of a service provider is assessed on the basis of its past experiences with the requestor and of the recommendations of the requester’s neighbors. In our trust model, the trust parameters evolve dynamically in response to the change of the network context, the type of the demanded service and the nature of the relationships between the different nodes. The experiment results show that our proposed model achieves high accuracy and it is proved to be resilient against common attacks.

Projets