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  • 1.
    Bin, Xiao
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahim, Rahmani
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Yuhong, Li
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Edge-based Interoperable Service-driven Information Distribution for Intelligent Pervasive ServicesIngår i: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589Artikel i tidskrift (Refereegranskat)
  • 2. Golatowski, Frank
    et al.
    Butzin, Björn
    Brockmann, Tim
    Schulz, Thorsten
    Kasparick, Martin
    Li, Yuhong
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Haber, Aviv
    Sakalsız, Mustafa
    Aydemir, Özer
    Challenges and Research Directions for Blockchains in the Internet of Things2019Ingår i: 2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS 2019): Proceedings, IEEE, 2019Konferensbidrag (Refereegranskat)
    Abstract [en]

    In this paper, we analyze the state of the art in distributed ledger technologies and blockchains and investigate potential applications in the Internet of Things (IoT) domain. Afterwards, we discuss interoperability of blockchains, and their use in smart contracts, and artificial intelligence.

  • 3. Hu, Zhuo
    et al.
    Li, Yuhong
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Han, Shengnan
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Time-Scaling Data Generation Method For Internet of Things Simulation2018Ingår i: Proceedings of 2018 Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, Institute of Research Engineers and Doctors (IRED) , 2018, s. 34-40Konferensbidrag (Refereegranskat)
    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.

  • 4.
    Kanter, Theo
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li, Yuhong
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Xiao, Bin
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Vehicular Network Enabling Large-Scale and Real-Time Immersive Participation2014Ingår i: Internet of Vehicles – Technologies and Services: Proceedings, Springer, 2014, s. 66-75Konferensbidrag (Refereegranskat)
    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.

  • 5.
    Li, Yuhong
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    An Information-Centric Approach for Data Dissemination in Vehicular Networks2014Ingår i: 2014 International Conference on Connected Vehicles & Expo (ICCVE 2014), IEEE conference proceedings , 2014, s. 888-893Konferensbidrag (Refereegranskat)
    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.

  • 6.
    Li, Yuhong
    et al.
    Beijing University of Posts and Telecommunications, Beijing, China.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Differentiated Context Maintenance and Exchange oriented to Internet of Things2015Ingår i: International Journal of Computer Science Issues, ISSN 1694-0784, E-ISSN 1694-0814, Vol. 12Artikel i tidskrift (Refereegranskat)
    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.

  • 7.
    Li, Yuhong
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Beijing University of Posts and Telecommunications, China.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Fouassier, Nicolas
    Stenlund, Peik
    Ouyang, Kun
    A Blockchain-based Architecture for Stable and Trustworthy Smart Grid2019Ingår i: Procedia Computer Science, ISSN 1877-0509, E-ISSN 1877-0509, Vol. 155, s. 410-416Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Smart Grid represents an efficient power transmission, distribution and management system. However, solutions for Smart Grid have raised security and privacy problems. Moreover, with the introduction of renewable energy resources, such as rooftop solar panels and small biogas plants, more and more electricity consumers are involved in the energy generation system. This may cause the power system unstable and/or the waste of the energy. Blockchain is a promising technology for solving these problems in the future energy system on account of its distributed trust, anonymity, data integrity and availability. In this paper, we propose a Blockchain-based architecture for Smart Grid. By using the proposed architecture, electricity consumers can be fully involved in the energy system and tracing the details of the energy they have consumed or generated. At the same time, the stability of the energy system can be kept, reducing the waste of the energy and potential hazard to the electrical equipment.

  • 8.
    Rahmani, Rahim
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li, Yuhong
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    A Scalable Distriubuted Ledger for Internet of Things based on Edge Computing2018Ingår i: Proceedings of 2018 Seventh International Conference on Advances in Computing, Communication and Information Technology - CCIT 2018, Institute of Research Engineers and Doctors (IRED) , 2018, s. 41-45Konferensbidrag (Refereegranskat)
    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.

  • 9.
    Xiao, Bin
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Li, Yuhong
    Gillblad, Daniel
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Intelligent Data-Intensive IoT: A Survey2016Ingår i: 2016 2nd IEEE International Conference on Computer and Communications (ICCC): Proceedings, IEEE Computer Society, 2016, s. 2362-2368Konferensbidrag (Refereegranskat)
    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.

  • 10. Xue, Haoyue
    et al.
    Li, Yuhong
    Rahmani, Rahim
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kanter, Theo
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Xue, Haoyue
    A Mechanism for Mitigating DoS attack in Information-Centric Networks2017Ingår i: Proceedings of the 1st International Conference on Internet of Things and Machine Learning, Association for Computing Machinery (ACM), 2017, artikel-id 26Konferensbidrag (Refereegranskat)
    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.

1 - 10 av 10
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