Aucune description disponible pour cet axe de recherche.
Description
Publications
-
2024Rihab 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 SahliInfrastructure-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. -
2023Ilhem 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 HoblosAn 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 HoblosMonitoring 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.Samira Harrabi, Ines Ben Jaafar, Khaled GhediraSurvey on IoV Routing Protocols
Wireless Personal Communications 128(1), 2023
Résumé
Internet of vehicles (IoV) can be considered as a superset of vehicular ad-hoc networks (VANETs). It extends VANET’s structure, applications and scale. Unlike, the traditional intelligent transportation system (ITS), IoV focus more on information interactions between vehicles, roadside units (RSU) and humans. The principal aim is to make people obtain road traffic information easily and in real-time, to ensure the travel convenience, and to increase the travel comfort. The goal behind the Internet of vehicles is essentially to be used in urban traffic environment to ensure network access for passengers and drivers. The environment of the IoV is the combination of different wireless network environment as well as road conditions. Despite its continuing expansion, the IOV contains different radio access technologies that lead to a heterogeneous network, and make it more crucial than the VANET. These drawbacks pose numerous challenges, especially the routing one. In IoV environment, the routing protocol must cope with events such as link failure and to find the best route to propagate the data toward the desired destination. In this paper, we mainly focus on surveying the IoV routing protocols, hence we present and compare unicast, multicast and broadcast protocols.
-
2022Ilhem 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%.
-
2021Rihab 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.
Ines Ben Jaafar, Samira Harrabi, Khaled GhediraPerformance Analysis of Vanets Routing Protocols
LicenseCC BY 4.0, 2021
Résumé
Vehicular Ad Hoc Networks (VANETs) are a particular class of Mobile Ad Hoc Networks (MANETs). The VANETs provide wireless communication among vehicles and vehicle-to-road-side units. Even though the VANETs are a specific type of MANETs, a highly dynamic topology is a main feature that differentiates them from other kinds of ad hoc networks. As a result, designing an efficient routing protocol is considered a challenge. The performance of vehicle-to-vehicle communication depends on how better the routing protocol takes in consideration the particularities of the VANETs. Swarm Intelligence (SI) is considered as a promising solution to optimize vehicular communication costs. In this paper, we explore the SI approach to deal with the routing problems in the VANETs. We also evaluate and compare two swarming agent-based protocols using numerous QoS parameters, namely the average end-to-end delay and the ratio packet loss which influence the performance of network communication.
-
2018Samira Harrabi, Ines Ben Jaafar, Khaled ghedira
A Swarm Intelligence-based Routing Protocol for Vehicular Networks
International Journal of Vehicle Information and Communication Systems (IJVICS), 2018
Résumé
Vehicular Ad hoc Networks (VANETs) are a particular case of Mobile Ad hoc Networks (MANETs). They are applied to exchange information among vehicles and between vehicles and a nearby fixed infrastructure. Unlike the MANETs, the VANETs have highly mobile nodes that cause a dynamic topology, a disconnected network, etc. Consequently, these features pose numerous challenges. One of them is routing. In a vehicular environment, the routing protocol needs to cope with events like link failure and to find an effective path to propagate the information toward the desired destination. In this context, we assume in this paper that the vehicles are intelligent and have a knowledge base about their communication environment. Our aim is to carry out the routing of the data based on swarm intelligence. The optimum route is explored using the Particle Swarm Optimisation (PSO). The proposed approach is called the Optimised Agent-based AODV Protocol for VANET (OptA2PV).
-
2016Samira Harrabi, Ines ben Jaafar, Khaled ghedira
Routing Challenges and Solutions in Vehicular Ad hoc Networks
Sensors and Transducer journal, 2016
Résumé
Vehicular Ad-hoc Networks (VANETs) are known as a special type of Mobile Ad-hoc Networks (MANETs) specialized in vehicular communications. These networks are based on smart vehicles and basestations, which share data by means of wireless communications. To route these information, a routing protocol is required. Since the VANETs have a particular network features as rapidly changeable topology, designing an efficient routing scheme is a very hard task. In this paper, we mainly focus on surveying new routing protocols dedicated to VANETs. We present unicast, multicast and broadcast protocols. The experimental results are discussed to evaluate the performance of the presented methods.
BibTeX
@INPROCEEDINGS{9615856,
author={Abidi, Rihab and Azzouna, Nadia Ben},
booktitle={2021 International Symposium on Networks, Computers and Communications (ISNCC)},
title={Self-adaptive trust management model for social IoT services},
year={2021},
volume={},
number={},
pages={1-7},
keywords={Measurement;Adaptation models;Uncertainty;Social networking (online);Computational modeling;Optimization methods;Quality of service;IoT;SIoT;adaptive control;context awareness},
doi={10.1109/ISNCC52172.2021.9615856}}
BibTeX
@article{abidi2024study, title={A study of mechanisms and approaches for IoV trust models requirements achievement.}, author={Abidi, Rihab and Azzouna, Nadia Ben and Trojet, Wassim and Hoblos, Ghaleb and Sahli, Nabil}, journal={Journal of Supercomputing}, volume={80}, number={3}, year={2024} }
BibTeX
@article{souissi2022sp, title={SP-TRUST: a trust management model for speed trust in vehicular networks}, author={Souissi, Ilhem and Ben Azzouna, Nadia and Abidi, Rihab and Berradia, Tahar and Ben Said, Lamjed}, journal={International Journal of Computers and Applications}, volume={44}, number={11}, pages={1065--1073}, year={2022}, publisher={Taylor \& Francis} }
BibTeX
@article{souissi2023ecotrust, title={ECOTRUST: A novel model for Energy COnsumption TRUST assurance in electric vehicular networks}, author={Souissi, Ilhem and Abidi, Rihab and Azzouna, Nadia Ben and Berradia, Tahar and Said, Lamjed Ben}, journal={Ad Hoc Networks}, volume={149}, pages={103246}, year={2023}, publisher={Elsevier} }
BibTeX
@inproceedings{abidi2023infrastructure, title={An Infrastructure-Based Trust Management Framework for Cooperative ITS.}, author={Abidi, Rihab and Sahli, Nabil and Trojet, Wassim and Azzouna, Nadia Ben and Hoblos, Ghaleb}, booktitle={VEHITS}, pages={329--336}, year={2023} }
BibTeX
@inproceedings{lachheb2024infrastructure, title={Infrastructure-Based Communication Trust Model for Intelligent Transportation Systems.}, author={Lachheb, Malek and Abidi, Rihab and Azzouna, Nadia Ben and Sahli, Nabil}, booktitle={VEHITS}, pages={513--521}, year={2024} }
BibTeX
@inproceedings{abidi2023monitoring, title={Monitoring Traffic Congestion Using Trust-Based Smart Road Signs}, author={Abidi, Rihab and Sahli, Nabil and Azzouna, Nadia Ben and Trojet, Wassim and Hoblos, Ghaleb}, booktitle={International Conference on Smart Cities and Green ICT Systems}, pages={184--196}, year={2023}, organization={Springer} }
BibTeX
https://link.springer.com/article/10.1007/s11277-022-09976-5
BibTeX
[1]. H. H. Hartenstein and K. P. Laberteaux, A tutorial
survey on vehicular ad hoc networks, IEEE
Communications Magazine, Vol. 46, No. 6, June 2008,
pp. 164-171.
[2]. S. Yousefi, M. Siadat M. Iousavi, and M. Fathy, Vehicular Ad Hoc Networks (VANETs) challenges and perspectives, in Proceedings of the 6th
International Conference on ITS Telecommunications,
2006, pp. 761-766.
[3]. V. Kumar, S. Mishra, N. Chand, Applications of VANETs: Present & Future, Communications and Network, Vol. 5, 2013, pp. 12-15.
[4]. Blum, J. J., Eskandarian, A., and Hoffman, L. J.
Challenges of intervehicle ad hoc networks, IEEE Trans. Intelligent Transportation Systems, Vol. 5, No. 4, 2004, pp. 347–351.
[5]. P. Ranjan, K. K. Ahirwar, Comparative Study of
VANET and MANET Routing Protocols, in
Proceedings of the International Conference on
Advanced Computing and Communication
Technologies (ACCT’ 11), January 20-22, 2011, pp. 517-523.
[6]. Ch. Sudersan Raju, M. Sailaja, Ch. Balaswamy, Adaptability of MANET Routing Protocols for
VANETS, International Journal of Advanced
Research in Computer and Communication Engineering, 2, 7, July 2013, pp. 2823-2829.
[7]. Wex, P. Breuer, J. Held, A. Leinmuller, T. Delgrossi,
L., Trust Issues for Vehicular Ad Hoc Networks, IEEE, VTC Spring, 2008, pp. 2800-2804.
[8]. Armstrong, L. Dedicated short-range communications
project.
[9]. ASTM E2213-03, Standard Specification for
Telecommunications and Information Exchange
Between Roadside and Vehicle Systems — 5 GHz Band Dedicated Short Range Communications
(DSRC) Medium Access Control (MAC) and Physical
Layer (PHY) Specifications, ASTM Int., July 2003.
[10]. IEEE Standard for Wireless LAN Medium Access
Control (MAC) and Physical Layer (PHY) Specifications, Amendment 1: high-speed physical
layer in the 5 GHz band (802.11a), Sep. 1999.
[11]. Uzcategui R, and Acosta-Marum G, Wave: a tutorial,
IEEE Communications Magazine, Vol. 47, Issue 5,
2009, pp. 126–133.
[12]. 1609.4-2010 – IEEE Standard for Wireless Access in
Vehicular Environments (WAVE)–Multi-channel
operation, 1–89.
[13]. Sebastian Gräfling, Petri Mähönen and Janne
Riihijärvi, Performance evaluation of IEEE 1609 wave and IEEE 802.11p for vehicular communications, in
Proceedings of the 2nd International Conference on Ubiquitous and Future Networks (ICUFN), 2010, pp. 344–348.
[14]. D. Dinesh, M. Deshmukh, Challenges in Vehicle Ad
Hoc Network (VANET), International Journal of
Engineering Technology, Management and Applied Sciences, Vol. 2, Issue 7, 2014, pp 76-88.
[15]. A. Paulraj, Code Division Multiple Access for
Cellular Wireless Communications, in Proceedings of
the Conference on Signal Processing and Communication, I. I. Sc., Bangalore, August 1995.
[16]. Theodore S. Rappaport, Wireless Communications:
principles and practice, Prentice Hall PTR, 1996.
[17]. D. Rajaveerappa and M. Sreenivasan, Design and
Development of a Hybrid SDMA/CDMA MAC
BibTeX
Bandi, A. and Chandrashekhar, B.N. (2015) ‘Parameters tuning of OLSR routing protocol with
metaheuristic algorithm for VANET’, International Advance Computing Conference, IEEE.
Bellifemine, F., Poggi, A. and Rimassa, G. (2001) ‘Developing multi-agent systems with a FIPA-
compliant agent framework’, Software-Practice and Experience, Vol. 31, No. 2, pp.103–128.
Bouras, C., Kapoulas, V. and Tsanai, E. (2015) ‘A GPSR enhancement mechanism for routing in
VANETs’, 13th International Conference, WWIC 2015, Malaga, Spain, 25–27 May.
Dorigo, M., Birattari, M. and Stutzle, T. (2006) ‘Ant colony optimization’, IEEE Computational
Intelligence Magazine, No. 4. Ghassan, S. and Tareq, A. (2013) ‘Dynamic safety message power control in VANET using PSO’,
World of Computer Science and Information Technology Journal, pp.176–184.
Hajlaoui, R., Guyennet, H. and Moulahi, T. (2016) ‘A survey on heuristic-based routing methods in vehicular ad-hoc network: technical challenges and future trends’, IEEE Sensors Journal,
Vol. 16, No. 17, pp.1–13.
Haklay, M. and Weber, P. (2008) ‘OpenStreetMap: user-generated street maps’, IEEE Pervasive Computing, Vol. 7, pp.12–18.
Harrabi, S., Ben Jaafar, I. and Ghedira, K. (2016) ‘An enhanced AODV routing protocol for
vehicular adhoc networks’, Proceedings of the International Conference on Big Data and Advanced Wireless Technologies, No. 26, Blagoevgrad, Bulgaria, 10–11 November.
Hartenstein, H.H. and Laberteaux, K.P. (2015) ‘A tutorial survey on vehicular ad hoc networks’,
IEEE Communications Magazine, Vol. 46, No. 6, pp.164–171.
James, G., Cohen, D., Dodier, R., Platt, G. and Palmer, D. (2006) ‘A deployed multiagent
framework for distributed energy applications’, 5th International Joint Conference on
Autonomous Agents and Multiagent Systems.
Jennings, N.R., Sycara, K. and Wooldridge, M. (1998) ‘A roadmap of agent research and
development’, Autonomous Agents and Multi-Agent Systems, pp.275–306.
Kaiwartya, O. and Kumar, S. (2014) ‘Geocasting in vehicular adhoc networks using particle swarm
optimization’, ISDOC’14, International Conference on Information Systems and Design of
Communication, ACM, New York, pp.62–66.
Kaiwartya, O., Kumar, S., Lobiyal, D.K., Tiwari, P.K., Abdullah, A.H. and Hassan, A.N. (2015) ‘Multiobjective dynamic vehicle routing problem and time seed based solution using particle
swarm optimization’, Journal of Sensors, http://dx.doi.org/10.1155/2015/189832.
Kalambe, K.D., Deshmukh, A.R. and Dorle, S.S. (2015) ‘Particle swarm optimization based
routing protocol for vehicular ad hoc network’, International Journal of Engineering
Research and General Science, Vol. 3, No. 1. Kennedy, J., and Eberhart, R.C. (1995) ‘Particle swarm optimization’, Proceedings of IEEE
International Conference on Neural Networks, pp.1942–1948.
Krajzewicz, D., Bonert, M. and Wagner, P. (2006) ‘The open source traffic simulation package
SUMO’, RoboCup 2006 Infrastructure Simulation Competition.
Lobiyal, D.K., Katti, C.P. and Giri, A.K. (2014) ‘Parameter value optimization of ad-hoc on demand multipath distance vector routing using particle swarm optimization’, International
Conference on Information and Communication Technologies.…