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  • 1.
    Bin, Xiao
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahim, Rahmani
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Yuhong, Li
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Edge-based Interoperable Service-driven Information Distribution for Intelligent Pervasive ServicesIn: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589Article in journal (Refereed)
  • 2. Hu, Zhuo
    et al.
    Li, Yuhong
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Han, Shengnan
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Time-Scaling Data Generation Method For Internet of Things Simulation2018In: Proceedings of 2018 Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, Institute of Research Engineers and Doctors (IRED) , 2018, p. 34-40Conference paper (Refereed)
    Abstract [en]

    Simulation plays an important role on studing the Internet of Things (IoT) traffic, which has an increasing impact on network infrastructures.The existing simulation tools and mechanisms on IoT mainly focus on simulating large-scale deployment of IoT and heterogeneous IoT applications. This paper concentrates on how to simulate the lengthy, burthty and multi-level time-scale IoT applications quickly. A time-scale data generation (TSDG) method is proposed to reduce the used simulation time of different IoT scenarios while keeping the real world characteristics of the IoT applications. Implementations of TSDG in ns-3 and simulation experiments of smart home and smart shopping centre are described in the paper. The evaluations results show that the proposed TSDG method can effectively reduce the time used to simulation IoT applications in ns-3 while reflect the IoT application traffic in the real world.

  • 3.
    Kanter, Theo
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Li, Yuhong
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Xiao, Bin
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Vehicular Network Enabling Large-Scale and Real-Time Immersive Participation2014In: Internet of Vehicles – Technologies and Services: Proceedings, Springer, 2014, p. 66-75Conference paper (Refereed)
    Abstract [en]

    This paper presents a system and mechanisms enabling real-time awareness and interaction among vehicles connected via heterogeneous mobile networks. Information obtained by vehicles is considered as the centre in our system. Vehicles are organized dynamically in overlaid clusters. In each cluster, vehicle-related information is pushed in time. As a network node, each vehicle has the function of content abstraction and distribution. Through processing and abstracting the sensed data, various vehicle-related information are organized and denoted in hierarchical names at each node. The data are transmitted and forwarded using protocols accordant with the characteristics of the content. In this way, large-scale and real-time information exchanges among vehicles are realized. Part of our system has been implemented and tested. An open source platform providing standard sensor and actuator API can be provided.

  • 4.
    Li, Yuhong
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    An Information-Centric Approach for Data Dissemination in Vehicular Networks2014In: 2014 International Conference on Connected Vehicles & Expo (ICCVE 2014), IEEE conference proceedings , 2014, p. 888-893Conference paper (Refereed)
    Abstract [en]

    The features of information dissemination in vehicular networks make it necessary to introduce Information-Centric Networking (ICN) technique to vehicular networks. However, some design principles of ICN must be implemented and extended in order to realize efficient data dissemination in vehicular networks. This paper proposes an approach for realizing ICN-based data dissemination in vehicular networks. An architecture for organizing and disseminating information in a vehicle is suggested. The concept of cluster of common interest is proposed, with which groups of vehicles can be established dynamically according to the information they are interested in. Within each cluster, information are disseminated to the vehicles in a way decided by the features of the information. To show the feasibility of our approach, the approach has been implemented and tested in the simulation environment.

  • 5.
    Li, Yuhong
    et al.
    Beijing University of Posts and Telecommunications, Beijing, China.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Differentiated Context Maintenance and Exchange oriented to Internet of Things2015In: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 12Article in journal (Refereed)
    Abstract [en]

    Context information can add more meaning and value to the sensor data in Internet of Things. However, due to the large amount of sources of contexts and sensor data, the exchange of contexts through the networks may cause more and more data traffic. This paper proposes a novel method for maintaining and exchanging contexts through the Internet more efficiently. Contexts are classified into different levels. Each level of contexts is maintained and exchanged using different methods. A new protocol for exchanging the contexts is designed. Through the independent transmitting of contexts and sensor data, the context-awareness in Internet of Things can be realized, and the network bandwidth usage can be greatly reduced and thus the energy of node can also be saved.

  • 6.
    Rahmani, Rahim
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Li, Yuhong
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    A Scalable Distriubuted Ledger for Internet of Things based on Edge Computing2018In: Proceedings of 2018 Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, Institute of Research Engineers and Doctors (IRED) , 2018, p. 41-45Conference paper (Refereed)
    Abstract [en]

    Internet of Things (IoT) is becoming necessities of people’s daily life and establishing itself as an essential part of future Internet. One of the challenges for using IoT is the security of data collected by trillions of IoT devices and used by millions of services. Distributed ledger technology (DLT) provides a distributed security method which can benefit IoT. Yet challenges are put forward when integrating DLT with IoT, such as scalability and heterogeneous capability of IoT devices. In this paper, we propose a mechanism for integrating DLT in IoT by using edge computing technology, taking the scalability and heterogeneous capability of IoT devices into consideration. IoT devices are clustered dynamically into groups based on various proximity context information. A cluster head is used to bridge the IoT devices with the blockchain network where smart contract is deployed. Through this way, the security of the IoT is improved and the scalability and latency are solved. We elaborate our mechanism and discuss issues that should be considered and implemented when using the proposed mechanism.

  • 7.
    Xiao, Bin
    et al.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Li, Yuhong
    Gillblad, Daniel
    Kanter, Theo
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Intelligent Data-Intensive IoT: A Survey2016In: 2016 2nd IEEE International Conference on Computer and Communications (ICCC): Proceedings, IEEE Computer Society, 2016, p. 2362-2368Conference paper (Refereed)
    Abstract [en]

    The IoT paradigm proposes to connect entities intelligently with massive heterogeneous nature, which forms an ocean of devices and data whose complexity and volume are incremental with time. Different from the general big data or IoT, the data-intensive feature of IoT introduces several specific challenges, such as circumstance dynamicity and uncertainties. Hence,intelligence techniques are needed in solving the problems brought by the data intensity. Until recent, there are many different views to handle IoT data and different intelligence enablers for IoT, with different contributions and different targets. However, there are still some issues have not been considered. This paper will provide a fresh survey study on the data-intensive IoT issue. Besides that, we conclude some shadow issues that have not been emphasized, which are interesting for the future. We propose also an extended big data model for intelligent data-intensive IoT to tackle the challenges.

  • 8. Xue, Haoyue
    et al.
    Li, Yuhong
    Rahmani, Rahim
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Kanter, Theo G.
    Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
    Xue, Haoyue
    A Mechanism for Mitigating DoS attack in Information-Centric Networks2017In: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, Association for Computing Machinery (ACM), 2017, article id 26Conference paper (Refereed)
    Abstract [en]

    Information-Centric Networking (ICN) 1 is a significant networking paradigm for the Internet of Things, which is an information-centric network in essence. The ICN paradigm owns inherently some security features, but also brings several new vulnerabilities. The most significant one among them is Interest flooding, which is a new type of Denial of Service (DoS) attack, and has even more serious effects to the whole network in the ICN paradigm than in the traditional IP paradigm. In this paper, we suggest a new mechanism to mitigate Interest flooding attack. The detection of Interest flooding and the corresponding mitigation measures are implemented on the edge routers, which are directly connected with the attackers. By using statistics of Interest satisfaction rate on the incoming interface of some edge routers, malicious name-prefixes or interfaces can be discovered, and then dropped or slowed down accordingly. With the help of the network information, the detected malicious name-prefixes and interfaces can also be distributed to the whole network quickly, and the attack can be mitigated quickly. The simulation results show that the suggested mechanism can reduce the influence of the Interest flooding quickly, and the network performance can recover automatically to the normal state without hurting the legitimate users.

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