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He, D., Kumar, N., Wang, H., Wang, L., Raymond Choo, K.-K. & Vinel, A. (2018). A Provably-Secure Cross-Domain Handshake Scheme with Symptoms-Matching for Mobile Healthcare Social Network. IEEE Transactions on Dependable and Secure Computing, 15(4), 633-645
Open this publication in new window or tab >>A Provably-Secure Cross-Domain Handshake Scheme with Symptoms-Matching for Mobile Healthcare Social Network
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2018 (English)In: IEEE Transactions on Dependable and Secure Computing, ISSN 1545-5971, E-ISSN 1941-0018, Vol. 15, no 4, p. 633-645Article in journal (Refereed) Published
Abstract [en]

With rapid developments of sensor, wireless and mobile communication technologies, Mobile Healthcare Social Networks (MHSNs) have emerged as a popular means of communication in healthcare services. Within MHSNs, patients can use their mobile devices to securely share their experiences, broaden their understanding of the illness or symptoms, form a supportive network, and transmit information (e.g. state of health and new symptoms) between users and other stake holders (e.g. medical center). Despite the benefits afforded by MHSNs, there are underlying security and privacy issues (e.g. due to the transmission of messages via a wireless channel). The handshake scheme is an important cryptographic mechanism, which can provide secure communication in MHSNs (e.g. anonymity and mutual authentication between users, such as patients). In this paper, we present a new framework for the handshake scheme in MHSNs, which is based on hierarchical identity-based cryptography. We then construct an efficient Cross-Domain HandShake (CDHS) scheme that allows symptoms-matching within MHSNs. For example, using the proposed CDHS scheme, two patients registered with different healthcare centers can achieve mutual authentication and generate a session key for future secure communications. We then prove the security of the scheme, and a comparative summary demonstrates that the proposed CDHS scheme requires fewer computation and lower communication costs. We also implement the proposed CDHS scheme and three related schemes in a proof of concept Android app to demonstrate utility of the scheme. Findings from the evaluations demonstrate that the proposed CDHS scheme achieves a reduction of 18.14% and 5.41% in computation cost and communication cost, in comparison to three other related handshake schemes. © 2016 IEEE. 

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
Mobile healthcare social networks, cross-domain handshake, secure handshake, authentication, elliptic curve, security
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-32115 (URN)10.1109/TDSC.2016.2596286 (DOI)
Note

Funding: National Natural Science Foundation of China; Natural Science Foundation of Hubei Province of China; National Natural Science Foundation of China; National Natural Science Foundation of China; National High-Tech Research and Development Program of China (863 Program)

Available from: 2016-10-01 Created: 2016-10-01 Last updated: 2018-07-10Bibliographically approved
Lyamin, N., Kleyko, D., Delooz, Q. & Vinel, A. (2018). AI-Based Malicious Network Traffic Detection in VANETs. IEEE Network, 32(6), 15-21
Open this publication in new window or tab >>AI-Based Malicious Network Traffic Detection in VANETs
2018 (English)In: IEEE Network, ISSN 0890-8044, E-ISSN 1558-156X, Vol. 32, no 6, p. 15-21Article in journal (Refereed) Published
Abstract [en]

Inherent unreliability of wireless communications may have crucial consequences when safety-critical C-ITS applications enabled by VANETs are concerned. Although natural sources of packet losses in VANETs such as network traffic congestion are handled by decentralized congestion control (DCC), losses caused by malicious interference need to be controlled too. For example, jamming DoS attacks on CAMs may endanger vehicular safety, and first and foremost are to be detected in real time. Our first goal is to discuss key literature on jamming modeling in VANETs and revisit some existing detection methods. Our second goal is to present and evaluate our own recent results on how to address the real-time jamming detection problem in V2X safety-critical scenarios with the use of AI. We conclude that our hybrid jamming detector, which combines statistical network traffic analysis with data mining methods, allows the achievement of acceptable performance even when random jitter accompanies the generation of CAMs, which complicates the analysis of the reasons for their losses in VANETs. The use case of the study is a challenging platooning C-ITS application, where V2X-enabled vehicles move together at highway speeds with short inter-vehicle gaps.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018
Keywords
Vehicle safety, Telecommunication traffic, Road traffic, Wireless communication, Networked control systems, Real-time systems, Vehicular ad hoc networks, Intelligent vehicles, Artificial intelligence, Cams, Jamming
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-38456 (URN)10.1109/MNET.2018.1800074 (DOI)
Projects
AstaMoCA “Model-Based Communication Architecture for the AstaZero Automotive Safety”
Funder
Knowledge FoundationELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2018-11-30 Created: 2018-11-30 Last updated: 2018-12-03Bibliographically approved
Díez Rodríguez, V., Detournay, J., Vinel, A. & Lyamin, N. (2018). An Approach for Receiver-Side Awareness Control in Vehicular Ad Hoc Networks. IEEE transactions on intelligent transportation systems (Print), 19(4), 1227-1236
Open this publication in new window or tab >>An Approach for Receiver-Side Awareness Control in Vehicular Ad Hoc Networks
2018 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 19, no 4, p. 1227-1236Article in journal (Refereed) Published
Abstract [en]

Vehicular Ad hoc networks (VANET) are a key element of cooperative intelligent transport systems. One of the challenges in VANETs is dealing with awareness and congestion due to the high amount of messages received from the vehicles in communication range. As VANETs are used in critical applications, congestion on the receiver side caused by the buffering of the packets is a safety hazard. In this paper, we propose a streamwise queuing system on the receiver side and show how it improves the timeliness of the messages received and maintains the awareness of the system in a congestion situation. © Copyright 2017 IEEE

Place, publisher, year, edition, pages
Piscataway: Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
GCDC 2016, ETSI ITS-G5, vehicular communication, awareness control, priority queue
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-35188 (URN)10.1109/TITS.2017.2749966 (DOI)2-s2.0-85030764383 (Scopus ID)
Available from: 2017-10-12 Created: 2017-10-12 Last updated: 2018-04-03Bibliographically approved
Fiems, D. & Vinel, A. (2018). Connectivity Times in Vehicular Networks. IEEE Communications Letters, 22(11), 2270-2273, Article ID 8444968.
Open this publication in new window or tab >>Connectivity Times in Vehicular Networks
2018 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 22, no 11, p. 2270-2273, article id 8444968Article in journal (Refereed) Published
Abstract [en]

We propose an analytical model that accurately captures the service advertisement and access mechanisms in IEEE 1609.4/IEEE 802.11p multi-channel vehicular networks where road-side units announce non-safety services to passing vehicles on a dedicated channel. For a drive-thru scenario, we calculate various performance measures including the service discovery probability, the mean time till discovery and the channel utilization. © 1997-2012 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018
Keywords
Vehicular ad hoc networks (VANET), roadside unit (RSU), cellular coverage, stochastic processes
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-37869 (URN)10.1109/LCOMM.2018.2866558 (DOI)2-s2.0-85052684175 (Scopus ID)
Available from: 2018-08-30 Created: 2018-08-30 Last updated: 2018-11-26Bibliographically approved
Zhang, K., Mao, Y., Leng, S., Maharjan, S., Vinel, A. & Zhang, Y. (2018). Contract-theoretic Approach for Delay Constrained Offloading in Vehicular Edge Computing Networks. Journal on spesial topics in mobile networks and applications
Open this publication in new window or tab >>Contract-theoretic Approach for Delay Constrained Offloading in Vehicular Edge Computing Networks
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2018 (English)In: Journal on spesial topics in mobile networks and applications, ISSN 1383-469X, E-ISSN 1572-8153Article in journal (Refereed) Epub ahead of print
Abstract [en]

Mobile Edge Computing (MEC) is a promising solution to improve vehicular services through offloading computation to cloud servers in close proximity to mobile vehicles. However, the self-interested nature together with the high mobility characteristic of the vehicles make the design of the computation offloading scheme a significant challenge. In this paper, we propose a new Vehicular Edge Computing (VEC) framework to model the computation offloading process of the mobile vehicles running on a bidirectional road. Based on this framework, we adopt a contract theoretic approach to design optimal offloading strategies for the VEC service provider, which maximize the revenue of the provider while enhancing the utilities of the vehicles. To further improve the utilization of the computing resources of the VEC servers, we incorporate task priority distinction as well as additional resource providing into the design of the offloading scheme, and propose an efficient VEC server selection and computing resource allocation algorithm. Numerical results indicate that our proposed schemes greatly enhance the revenue of the VEC provider, and concurrently improve the utilization of cloud computing resources.

Place, publisher, year, edition, pages
New York, NY: Springer-Verlag New York, 2018
Keywords
Vehicular network, Cloud, Mobile edge computing, Contract theory
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-36337 (URN)10.1007/s11036-018-1032-0 (DOI)
Note

Funding: The National Natural Science Foundation of China under Grant No.61374189, the joint fund of the Ministry of Education of P.R. China and China Mobile under Grant MCM20160304.

Available from: 2018-02-22 Created: 2018-02-22 Last updated: 2018-03-23
Lyamin, N., Vinel, A., Jonsson, M. & Bellalta, B. (2018). Cooperative awareness in VANETs: On ETSI EN 302 637-2 performance. IEEE Transactions on Vehicular Technology, 67(1), 17-28
Open this publication in new window or tab >>Cooperative awareness in VANETs: On ETSI EN 302 637-2 performance
2018 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 67, no 1, p. 17-28Article in journal (Refereed) Published
Abstract [en]

Cooperative Awareness on the road is aiming to support the road users with knowledge about the surroundings relying on the information exchange enabled by vehicular com- munications. To achieve this goal European Telecommunication Standard Institute (ETSI) delivered the standard EN 302 637-2 for Cooperative Awareness Messages (CAM). The CAM trig- gering conditions are based on the dynamics of the originating vehicle, which is checked periodically. In this paper, we show that standardized ETSI protocol may demonstrate a decrease in communication performance under several realistic mobility patterns. The potential influence of the discovered phenomena on two typical mobility scenarios is studied.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2018
Keywords
VANET, Cooperative Awareness, Platooning, ETSI, ITS-G5
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-35466 (URN)10.1109/TVT.2017.2754584 (DOI)2-s2.0-85035747459 (Scopus ID)
Projects
ELLIITACDC: Autonomous Cooperative Driving: Communications Issues
Funder
Knowledge Foundation
Note

Partially supported by the Excellence Center at Linköping-Lund in Information Technology (ELLIIT) strategic research environment, NFITS - National ITS Postgraduate School (Sweden) and the ”ACDC: Autonomous Cooperative Driving: Communications Issues” project (2014- 2016) funded by the Knowledge Foundation (Sweden) in cooperation with Volvo GTT, Volvo Cars, Scania, Kapsch TrafficCom and Qamcom Research & Technology.

Available from: 2017-11-24 Created: 2017-11-24 Last updated: 2018-01-19Bibliographically approved
Lyamin, N., Vinel, A., Smely, D. & Bellalta, B. (2018). ETSI DCC: Decentralized Congestion Control in C-ITS. IEEE Communications Magazine, 56(12), 112-118
Open this publication in new window or tab >>ETSI DCC: Decentralized Congestion Control in C-ITS
2018 (English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 56, no 12, p. 112-118Article in journal (Refereed) Published
Abstract [en]

ETSI DCC: Decentralized Congestion Control in C-ITS is a mandatory component of the 5.9 GHz ITS-G5 vehicular communication protocol stack that reduces radio channel overload, range degradation, and self interference. In this tutorial article we explain its principle, describe related ongoing standardization activities, evaluate its performance for emerging cooperative driving applications, and identify ways for improvement. We show that failure to use a proper DCC parameterization can impact negatively on the performance of cooperative vehicular applications.

Place, publisher, year, edition, pages
Piscataway: IEEE, 2018
Keywords
Standards, Probes, Switches, Protocols, Degradation, Roads
National Category
Telecommunications Communication Systems
Identifiers
urn:nbn:se:hh:diva-38342 (URN)10.1109/MCOM.2017.1700173 (DOI)2-s2.0-85056588784 (Scopus ID)
Funder
Knowledge FoundationELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2018-11-15 Created: 2018-11-15 Last updated: 2018-12-10Bibliographically approved
Nelson, C., Lyamin, N., Vinel, A., Gustafson, C. & Tufvesson, F. (2018). Geometry Based Channel Models with Cross- and Autocorrelation for Vehicular Network Simulations. In: 2018 IEEE 87th Vehicular Technology Conference (VTC Spring): . Paper presented at 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal, 3–6 June, 2018. Piscataway, NJ: IEEE
Open this publication in new window or tab >>Geometry Based Channel Models with Cross- and Autocorrelation for Vehicular Network Simulations
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2018 (English)In: 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Piscataway, NJ: IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Realistic network simulations are necessary to assess the performance of any communication system. In this paper, we describe an implementation of a channel model for vehicle-to-vehicle (V2V) communication in the OMNeT++/Plexe simulation environment. The model is based on previous extensive measurements in a V2V multilink highway scenario and cover line-of-sight (LOS) as well as obstructed LOS (OLOS) scenarios, which occurs when one or more vehicles obstruct the LOS component. The implementation captures both the temporal autocorrelation and the joint multilink cross-correlation processes to achieve a realistic behavior. Preliminary results show that the implementation now generates stochastic large-scale fading with an autocorrelation function that agrees well with measured data. A representation of the cross-correlation process is now implemented through proper channel model selection since the geometry and location of objects are known in Plexe. We also show the impact of the suggested V2V physical layer (PHY) on the performance evaluation results observed at the facilities layer. As a metric, we use the data age, which is a measure how old the information about a vehicle is. When considering the autocorrelation in simulations, the experienced data-age increases. Examples show an increase of the 10% percentile data-age from 0.1s to 1.5s, which may affect the application performance significantly in critical situations. © 2018 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018
Keywords
Correlation, Channel models, Fading channels, Geometry, Mathematical model, Stochastic processes, Veins
National Category
Communication Systems Telecommunications Signal Processing
Identifiers
urn:nbn:se:hh:diva-37667 (URN)10.1109/VTCSpring.2018.8417740 (DOI)2-s2.0-85050983616 (Scopus ID)978-1-5386-6355-4 (ISBN)978-1-5386-6354-7 (ISBN)978-1-5386-6356-1 (ISBN)
Conference
2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal, 3–6 June, 2018
Funder
Wallenberg FoundationsELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2018-07-27 Created: 2018-07-27 Last updated: 2018-08-13Bibliographically approved
Vinel, A., Lyamin, N. & Isachenkov, P. (2018). Modeling of V2V Communications for C-ITS Safety Applications: A CPS Perspective. IEEE Communications Letters, 22(8), 1600-1603
Open this publication in new window or tab >>Modeling of V2V Communications for C-ITS Safety Applications: A CPS Perspective
2018 (English)In: IEEE Communications Letters, ISSN 1089-7798, E-ISSN 1558-2558, Vol. 22, no 8, p. 1600-1603Article in journal (Refereed) Published
Abstract [en]

Tight coupling between the performance of vehicleto-vehicle (V2V) communications and the performance of Cooperative Intelligent Transportation Systems (C-ITS) safety applications is addressed. A Cyber-Physical System (CPS) analytical framework is developed that links the characteristics of V2V communications (such as packet loss probability and packet transmission delay) with the physical mobility characteristics of the vehicular system (such as safe inter-vehicular distance). The study is applied to the Day 1 C-ITS application, Emergency Electronic Brake Lights (EEBL), enabled by ETSI ITS-G5 and IEEE 802.11p standards. © 2018 IEEE

Place, publisher, year, edition, pages
Piscataway: IEEE, 2018
Keywords
Cyber-physical system (CPS), cooperative intelligent transportation system (C-ITS), emergency electronic brake lights (EEBL), vehicle-to-vehicle (V2V) communications, emergency breaking, road safety, ITS-G5, IEEE 802.11p
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-36765 (URN)10.1109/LCOMM.2018.2835484 (DOI)2-s2.0-85046829629 (Scopus ID)
Funder
Knowledge FoundationELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-08-13Bibliographically approved
Marinho, M., Antreich, F., da Costa, J. P. .., Caizzone, S., Vinel, A. & Pignaton de Freitas, E. (2018). Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals. Signal Processing, 144, 19-28
Open this publication in new window or tab >>Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals
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2018 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 144, p. 19-28Article in journal (Refereed) Published
Abstract [en]

Important signal processing techniques need that the response of the different elements of a sensor array has specific characteristics. For physical systems this often is not achievable as the array elements’ responses are affected by mutual coupling or other effects. In such cases, it is necessary to apply array interpolation to allow the application of ESPRIT, Forward Backward Averaging (FBA), and Spatial Smoothing (SPS). Array interpolation provides a model or transformation between the true and a desired array response. If the true response of the array becomes more distorted with respect to the desired one or the considered region of the field of view of the array increases, nonlinear approaches becomes necessary. This work presents two novel methods for sector discretization. An Unscented Transform (UT) based method and a principal component analysis (PCA) based method are discussed. Additionally, two novel nonlinear interpolation methods are developed based on the nonlinear regression schemes Multivariate Adaptive Regression Splines (MARS) and Generalized Regression Neural Networks (GRNNs). These schemes are extended and applied to the array interpolation problem. The performance of the proposed methods is examined using simulated and measured array responses of a physical system used for research on mutual coupling in antenna arrays. © 2017 The Author(s). Published by Elsevier B.V.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2018
Keywords
Array Interpolation, Array Mapping, Antenna Arrays, Direction of Arrival Estimation
National Category
Signal Processing Communication Systems
Identifiers
urn:nbn:se:hh:diva-35082 (URN)10.1016/j.sigpro.2017.09.025 (DOI)2-s2.0-85030321519 (Scopus ID)
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Note

Funding: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) under the PVE grant number 88881.030392/2013-01 and by the ELLIIT Strategic Research Network.

Available from: 2017-09-28 Created: 2017-09-28 Last updated: 2018-03-23Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-4894-4134

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