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  • 1.
    Andersson, Karl
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    You, Ilsun
    Soonchunhyang University, Asan, Republic of Korea.
    Rahmani, Rahim
    Stockholm University, Stockholm, Sweden.
    Sharma, Vishal
    Soonchunhyang University, Asan, Republic of Korea.
    Secure Computation on 4G/5G Enabled Internet-of-Things2019Ingår i: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, Vol. 2019, artikel-id 3978193Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The rapid development of Internet-of-Things (IoT) techniques in 4G/5G deployments is witnessing the generation of massive amounts of data which are collected, stored, processed, and presented in an easily interpretable form. Analysis of IoT data helps provide smart services such as smart homes, smart energy, smart health, and smart environments through 4G and 5G technologies. At the same time, the threat of the cyberattacks and issues with mobile internet security is becoming increasingly severe, which introduces new challenges for the security of IoT systems and applications and the privacy of individuals thereby. Protecting IoT data privacy while enabling data availability is an urgent but difficult task.

    Data privacy in a distributed environment like IoT can be attained through secure multiparty computation. An emerging area of potential applications for secure computation is to address privacy concerns in data aggregation and analysis to match the explosive growth of the amount of IoT data. However, the inherent complexity of IoT systems really complicates the design and deployment of efficient, interoperable, and scalable secure computation mechanisms. As a result, there is an increasing demand for the development of new secure computation methods and tools which can fill in the gap between security and practical usage in IoT.

    The scope of this special issue is in line with recent contributions from academia and industry on the recent activities that tackle the technical challenges making computing secure on 4G/5G enabled Internet-of-Things. For the current issue, we are pleased to introduce a collection of papers covering a range of topics such as securely verifiable remote erasure schemes, multiuser identification algorithms, privacy-preserving shared storage, situational aware threat assessment, authorized client-side deduplication in cloud storage, radio environment map construction, analysis of the vulnerabilities of connected car environments, combat pollution attacks in 5G multihop networks, automatically traceback RDP-based targeted ransomware attacks, multiresolution face recognition through virtual faces generation, anonymous communication via anonymous identity-based encryption, and Secure Storage and Retrieval of IoT Data.

  • 2.
    Johansson, Ingemar
    et al.
    Ericsson AB, Luleå.
    Dadhich, Siddharth
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, EISLAB.
    Bodin, Ulf
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Jönsson, Tomas
    Ericsson AB, Luleå.
    Adaptive Video with SCReAM over LTE for Remote-Operated Working Machines2018Ingår i: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, Vol. 2018, artikel-id 3142496Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Remote operation is a step toward the automation of mobile working machines. Safe and efficient teleremote operation requires good-quality video feedback. Varying radio conditions make it desirable to adapt the video sending rate of cameras to make the best use of the wireless capacity. The adaptation should be able to prioritize camera feeds in different directions depending on motion, ongoing tasks, and safety concerns. Self-Clocked Rate Adaptation for Multimedia (SCReAM) provides a rate adaptation algorithm for these needs. SCReAM can control the compression used for multiple video streams using differentiating priorities and thereby provide sufficient congestion control to achieve both low latency and high video throughput. We present results from the testing of prioritized adaptation of four video streams with SCReAM over LTE and discuss how such adaptation can be useful for the teleremote operation of working machines.

  • 3.
    Tahira, Shireen
    et al.
    Department of Computer Science and Software Engineering, International Islamic University, Islamabad.
    Sher, Muhammad
    Department of Computer Science and Software Engineering, International Islamic University, Islamabad.
    Ullah, Ata
    Department of Computer Science, National University of Modern Languages, Islamabad .
    Imran, Muhammad
    College of Computer and Information Sciences, King Saud University.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Handover Based IMS Registration Scheme for Next Generation Mobile Networks2017Ingår i: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, Vol. 2017, artikel-id 8789513Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Next generation mobile networks aim to provide faster speed and more capacity along with energy efficiency to support video streaming andmassive data sharing in social and communication networks. In these networks, user equipment has to register with IPMultimedia Subsystem (IMS) which promises quality of service to the mobile users that frequently move across different access networks. After each handover caused due to mobility, IMS provides IPSec Security Association establishment and authentication phases. The main issue is that unnecessary reregistration after every handover results in latency and communication overhead. To tackle these issues, this paper presents a lightweight Fast IMS Mobility (FIM) registration scheme that avoids unnecessary conventional registration phases such as security associations, authentication, and authorization. FIM maintains a flag to avoid deregistration and sends a subsequent message to provide necessary parameters to IMS servers after mobility. It also handles the change of IP address for user equipment and transferring the security associations from old to new servers. We have validated the performance of FIM by developing a testbed consisting of IMS servers and user equipment. The experimental results demonstrate the performance supremacy of FIM. It reduces media disruption time, number of messages, and packet loss up to 67%, 100%, and 61%, respectively, as compared to preliminaries.

  • 4.
    Zhang, Baoxian
    et al.
    Research Center of Ubiquitous Sensor Networks, University of Chinese Academy of Sciences, Beijing.
    Jiao, Shenzhen
    Research Center of Ubiquitous Sensor Networks, University of Chinese Academy of Sciences, Beijing.
    Li, Cheng
    Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's.
    Jiao, Zheng
    Research Center of Ubiquitous Sensor Networks, University of Chinese Academy of Sciences, Beijing.
    Vasilakos, Athanasios
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Efficient location-based topology control algorithms for wireless ad hoc and sensor networks2016Ingår i: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, Vol. 16, nr 14, s. 1943-1955Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Topology control is an efficient strategy for improving the performance of wireless ad hoc and sensor networks by building network topologies with desirable features. In this process, location information of nodes can be used to improve the performance of a topology control algorithm and also ease its operations. Many location-based topology control algorithms have been proposed. In this paper, we propose two location-assisted grid-based topology control (GBP) algorithms. The design objective of our algorithm is to effectively reduce the number of active nodes required to keep global network connectivity. In grid-based topology control, a network is divided into equally spaced squares (called grids). We accordingly design cross-sectional topology control algorithm and diagonal topology control algorithm based on different network parameter settings. The key idea is to build near-minimal connected dominating set for the network at the grid level. Analytical and simulation results demonstrate that our designed algorithms outperform existing work. Furthermore, the diagonal algorithm outperforms the cross-sectional algorithm

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