5 research outputs found

    Architecture and Protocol of a Semantic System Designed for Video Tagging with Sensor Data in Mobile Devices

    Get PDF
    Current mobile phones come with several sensors and powerful video cameras. These video cameras can be used to capture good quality scenes, which can be complemented with the information gathered by the sensors also embedded in the phones. For example, the surroundings of a beach recorded by the camera of the mobile phone, jointly with the temperature of the site can let users know via the Internet if the weather is nice enough to swim. In this paper, we present a system that tags the video frames of the video recorded from mobile phones with the data collected by the embedded sensors. The tagged video is uploaded to a video server, which is placed on the Internet and is accessible by any user. The proposed system uses a semantic approach with the stored information in order to make easy and efficient video searches. Our experimental results show that it is possible to tag video frames in real time and send the tagged video to the server with very low packet delay variations. As far as we know there is not any other application developed as the one presented in this paper

    Multimedia sensors embedded in smartphones for ambient assisted living and e-health

    Full text link
    The final publication is available at link.springer.com[EN] Nowadays, it is widely extended the use of smartphones to make human life more comfortable. Moreover, there is a special interest on Ambient Assisted Living (AAL) and e-Health applications. The sensor technology is growing and amount of embedded sensors in the smartphones can be very useful for AAL and e-Health. While some sensors like the accelerometer, gyroscope or light sensor are very used in applications such as motion detection or light meter, there are other ones, like the microphone and camera which can be used as multimedia sensors. This paper reviews the published papers focused on showing proposals, designs and deployments of that make use of multimedia sensors for AAL and e-health. We have classified them as a function of their main use. They are the sound gathered by the microphone and image recorded by the camera. We also include a comparative table and analyze the gathered information.Parra-Boronat, L.; Sendra, S.; Jimenez, JM.; Lloret, J. (2016). Multimedia sensors embedded in smartphones for ambient assisted living and e-health. Multimedia Tools and Applications. 75(21):13271-13297. doi:10.1007/s11042-015-2745-8S13271132977521Acampora G, Cook DJ, Rashidi P, Vasilakos AV (2013) A survey on ambient intelligence in healthcare. Proc IEEE 101(12):2470–2494Al-Attas R, Yassine A, Shirmohammadi S (2012) Tele-Medical Applications in Home-Based Health Care. In proceeding of the 2012 I.E. International Conference on Multimedia and Expo Workshops (ICMEW 2012). Jul. 9–13, 2012. Melbourne, Australia. (pp. 441–446)Alemdar H, Ersoy C (2010) Wireless sensor networks for healthcare: a survey. Comput Netw 54(15):2688–2710Alqassim S, Ganesh M, Khoja S, Zaidi M, Aloul F, Sagahyroon A (2012) Sleep apnea monitoring using mobile phones. In proceedings of the 14th International Conference on e-Health Networking, Applications and Services (Healthcom 2012). Oct. 10 – 13, 2012. Beijing, China. (pp. 443–446)Anderson G, Horvath J (2004) The growing burden of chronic disease in America. Public Health Rep 119(3):263–270Aquilano M, Cavallo F, Bonaccorsi M, Esposito R, Rovini E, Filippi M, Carrozza MC (2012) Ambient assisted living and ageing: Preliminary results of RITA project. In proceedings of 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2012), Aug. 28-Sept. 1, 2012. San Diego USA. (pp. 5823–5826)Bellini P, Bruno I, Cenni D, Fuzier A, Nesi P, Paolucci M (2012) Mobile Medicine: semantic computing management for health care applications on desktop and mobile devices. Multimed Tools Appl 58(1):41–79Boulos MN, Wheeler S, Tavares C, Jones R (2011) How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomed Eng Online 10(1):24Bourouis A, Feham M, Hossain MA, Zhang L (2014) An intelligent mobile based decision support system for retinal disease diagnosis. Decis Support Syst 59(2014):341–350Bourouis A, Zerdazi A, Feham M, Bouchachia A (2013) M-health: skin disease analysis system using Smartphone’s camera. Procedia Comput Sci 19(2013):1116–1120M.W. Brault, (2010). Americans With Disabilities: 2010. Household Economic Studies. In United States Census Bureau website. Available at: www.census.gov/prod/2012pubs/p70-131.pdf Last Access 16 Dec 2014Breath Counter App. In Google Play website. Available at: https://play.google.com/store/apps/details?id=com.softrove.app.bc Last Access 30 Nov 2014Cardinaux F, Bhowmik D, Abhayaratne C, Hawley MS (2011) Video based technology for ambient assisted living: a review of the literature. J Ambient Intell Smart Environ 3(3):253–269Cardiograph App. In Google Play website. Available at: https://play.google.com/store/apps/details?id=com.macropinch.hydra.android . Last Access 30 Nov 2014Chaaraoui AA, Climent-Pérez P, Flórez-Revuelta F (2012) A review on vision techniques applied to human behaviour analysis for ambient-assisted living. Expert Syst Appl 39(12):10873–10888Chen NC, Wang KC, Chu HH (2012) Listen-to-nose: a low-cost system to record nasal symptoms in daily life. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UBIComp 2012). Sep. 05–08, 2012. Pittsburgh, USA. (pp. 590–591)Chiarini G, Ray P, Akter S, Masella C, Ganz A (2013) mHealth technologies for chronic diseases and elders: a systematic review. IEEE J Sel Areas Commun 31(9):6–18Color Detector App In Google Play website. Available at: //play.google.com/store/apps/details?id = com.mobialia.colordetector. Last Access 30 Nov 2014Colorblind Assitant App. In Google Play website. Available at: https://play.google.com/store/apps/details?id=com.unclechromedome.colorblindassistant . Last Access 30 Nov 2014Dale O, Solheim I, Halbach T, Schulz T, Spiru L, Turcu I (2013) What seniors want in a mobile Help-On-Demand service. In proceedings of the Fifth International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2013). Feb. 24 – Mar. 1, 2013. Nice, France. (pp. 96–101)Estepa AJ, Estepa R, Vozmediano J, Carrillo P (2014) Dynamic VoIP codec selection on smartphones. Netw Protoc Algoritm 6(2):22–37Falk TH, Maier M (2013) Context awareness in WBANs: a survey on medical and non-medical applications. IEEE Wirel Commun 20(4):30–37Franco C, Fleury A, Guméry PY, Diot B, Demongeot J, Vuillerme N (2013) iBalance-ABF: a smartphone-based audio-biofeedback balance system. IEEE Trans Biomed Eng 60(1):211–215García M, Lloret J, Bellver I, Tomás J (2013) Intelligent IPTV Distribution for Smart Phones (Book Chapter 13). In Intelligent Multimedia Technologies for Networking Applications. IGI GlobalGregoski MJ, Mueller M, Vertegel A, Shaporev A, Jackson BB, Frenzel RM, Treiber FA (2012) Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications. Int J Telemed Appl 2012, 1. Article ID 696324Grimaldi D, Kurylyak Y, Lamonaca F, Nastro A (2011) Photoplethysmography detection by smartphone’s videocamera. In proceedings of the 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IEEE IDAACS 2011), Sep. 15–17, 2011. Prague, Czech Republic. (Vol. 1, pp. 488–491)Gurrin C, Qiu Z, Hughes M, Caprani N, Doherty AR, Hodges SE, Smeaton AF (2013) The smartphone as a platform for wearable cameras in health research. Am J Prev Med 44(3):308–313Haché G, Lemaire ED, Baddour N (2011) Wearable mobility monitoring using a multimedia smartphone platform. IEEE Trans Instrum Meas 60(9):3153–3161Heathers JA (2013) Smartphone-enabled pulse rate variability: an alternative methodology for the collection of heart rate variability in psychophysiological research. Int J Psychophysiol 89(3):297–304Hoseini-Tabatabaei SA, Gluhak A, Tafazolli R (2013) A survey on smartphone-based systems for opportunistic user context recognition. ACM Comput Surv (CSUR) 45(3):1–51, Paper No. 27Illiger K, Hupka M, von Jan U, Wichelhaus D, Albrecht UV (2014) Mobile technologies: expectancy, usage, and acceptance of clinical staff and patients at a University Medical Center. JMIR mHealth uHealth 2(4), e42Kanjo E (2012) Tools and architectural support for mobile phones based crowd control systems. Netw Protoc Algoritm 4(3):4–14Kawano Y, Yanai K (2014) FoodCam: a real-time food recognition system on a smartphone. Multimedia Tools and Applications,Published online:April 2014: 1–25Khan FH, Khan ZH (2010) A systematic approach for developing mobile information system based on location based services. Netw Protoc Algoritm 2(2):54–65Kochanov D, Jonas S, Hamadeh N, Yalvac E, Slijp H, Deserno TM (2014) Urban Positioning Using Smartphone-Based Imaging. In Bildverarbeitung für die Medizin, 2014: 186–191Kurniawan S (2008) Older people and mobile phones: a multi-method investigation. Int J Human-Comput Stud 66(12):889–901Lacuesta R, Lloret J, Sendra S, Peñalver L (2014) Spontaneous Ad Hoc mobile cloud computing network. Sci World J 2014:1–19Lakens D (2013) Using a Smartphone to measure heart rate changes during relived happiness and anger. IEEE Trans Affect Comput 5(3):217–226Larson EC, Goel M, Boriello G, Heltshe S, Rosenfeld M, Patel SN (2012) Spirosmart: using a microphone to measure lung function on a mobile phone, In proceedings of the 2012 ACM Conference on Ubiquitous Computing (UBIComp 2012). Sep. 05–08, 2012. Pittsburgh, USA. (pp. 280–289)Lee J, Reyes BA, McManus DD, Mathias O, Chon KH (2012) Atrial fibrillation detection using a smart phone. In proceedings of the 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2012). Aug.28-Sep.1, 2012. San Diego, (pp. 1177–1180)Lloret J, Garcia M, Bri D, Diaz JR (2009) A cluster-based architecture to structure the topology of parallel wireless sensor networks. Sensors (Basel) 9(12):10513–10544Lu H, Frauendorfer D, Rabbi M, Mast MS, Chittaranjan GT, Campbell AT, Gatica-Perez D, Choudhury T (2012) StressSense: detecting stress in unconstrained acoustic environments using smartphones. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UBIComp 2012). Sep. 05–08, 2012. Pittsburgh, USA. (pp. 351–360)Macías E, Abdelfatah H, Suárez A, Cánovas A (2011) Full geo-localized mobile video in Android mobile telephones. Netw Protoc Algoritm 3(1):64–81Macias E, Lloret J, Suarez A, Garcia M (2012) Architecture and protocol of a semantic system designed for video tagging with sensor data in mobile devices. Sensors 12(2):2062–2087Macias E, Suarez A, Lloret J (2013) Mobile sensing systems. Sensors 13(12):17292–17321MedCam App. In Google Play website. Available at: https://play.google.com/store/apps/details?id=com.cupel.MedCam . Last Access 30 Nov 2014Monteiro DM, Rodrigues JJ, Lloret J, Sendra S (2014) A hybrid NFC–Bluetooth secure protocol for Credit Transfer among mobile phones. Secur Commun Netw 7(2):325–337Mosa ASM, Yoo I, Sheets L (2012) A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak 12(1):67MyEarDroid App. In Google Play website. Available at: https://play.google.com/store/apps/details?id=com.tecnalia.health.myeardroid . Last Access 30 Nov 2014O’Grady MJ, Muldoon C, Dragone M, Tynan R, O’Hare GM (2010) Towards evolutionary ambient assisted living systems. J Ambient Intell Humaniz Comput 1(1):15–29Poppe R (2010) A survey on vision-based human action recognition. Image Vis Comput 28(6):976–990Quit Snoring App. In Google Play website. Available at: https://play.google.com/store/apps/details?id=com.ptech_hm.qs . Last Access 30 Nov 2014Rahman MA, Hossain MS, El Saddik A (2013) Context-aware multimedia services modeling: an e-Health perspective. Multimed Tools Appl 73(3):1147–1176Sendra S, Granell E, Lloret J, Rodrigues JJPC (2014) Smart collaborative mobile system for taking care of disabled and elderly people. Mob Netw Appl 19(3):287–302Smartphone Milestone: Half of Mobile Subscribers Ages 55+ Own Smartphones Mobile. Online report.(April 22,2014). In the Nielsen Company website. Available at: http://www.nielsen.com/us/en/insights/news/2014/smartphone-milestone-half-of-americans-ages-55-own-smartphones.html Last Access 25 Nov 2014Smith A (2013) Smartphone Ownership 2013. On-line Report June 5, 2013. In Pew Research Center’s Internet & American Life Project website. Available at: http://www.pewinternet.org/2013/06/05/smartphone-ownership-2013/ Last Access 25 Nov 2014SnoreClock App. In Google Play website. Available at: https://play.google.com/store/apps/details?id=de.ralphsapps.snorecontrol Last Access 30 Nov 2014Storf H, Kleinberger T, Becker M, Schmitt M, Bomarius F, Prueckner S (2009) An event-driven approach to activity recognition in ambient assisted living. Lect Notes Comput Sci 5859:123–132Su X, Tong H, Ji P (2014) Activity recognition with smartphone sensors. Tsinghua Sci Technol 19(3):235–249Tapu R, Mocanu B, Bursuc A, Zaharia T (2013) A smartphone-based obstacle detection and classification system for assisting visually impaired people. In proceedings of the 2013 I.E. International Conference on Computer Vision Workshops (ICCVW 2013). Dec. 2–8, 2013. Sydney, Australia. (pp. 444–451)The vOICe for Android App. In Google Play website. Available at: https://play.google.com/store/apps/details?id=vOICe.vOICe . Last Access 30 Nov 2014Tudzarov A, Janevski T (2011) Protocols and algorithms for the next generation 5G mobile systems. Netw Protoc Algoritm 3(1):94–114Tyagi A, Miller K, Cockburn M (2012) e-Health tools for targeting and improving melanoma screening: a review. J Skin Cancer 2012, Article ID 437502Voice Cam for Blind App. In Google Play website. Available at: https://play.google.com/store/apps/details?id=com.prod.voice.cam Last Access 30 Nov 2014Wadhawan T, Situ N, Rui H, Lancaster K, Yuan X, Zouridakis G (2011) Implementation of the 7-point checklist for melanoma detection on smart handheld devices. In proceedings of the 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (EMBC 2011). Aug. 30- Sep 03, 2011. Boston, MA, USA (pp. 3180–3183)Xiong H, Zhang D, Zhang D, Gauthier V (2012) Predicting mobile phone user locations by exploiting collective behavioral patterns. In proceedings of the 9th International Conference on Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC). 4–7 Sept. 2012. Fukuoka, Japan. (pp. 164–171)Xu X, Shu L, Guizani M, Liu M, Lu J (2014) A survey on energy harvesting and integrated data sharing in wireless body area networks. Int J Distrib Sens Netw. Article ID 438695Yu W, Su X, Hansen J (2012) A smartphone design approach to user communication interface for administering storage system network. Netw Protoc Algoritm 4(4):126–155Zhang D, Vasilakos AV, Xiong H (2012) Predicting location using mobile phone calls. ACM SIGCOMM Comput Commun Rev 42(4):295–296Zhang D, Xiong H, Yang L, Gauither V (2013) NextCell: predicting location using social interplay from cell phone traces. EEE Trans Comput 64(2):452–46

    Separation Framework: An Enabler for Cooperative and D2D Communication for Future 5G Networks

    Get PDF
    Soaring capacity and coverage demands dictate that future cellular networks need to soon migrate towards ultra-dense networks. However, network densification comes with a host of challenges that include compromised energy efficiency, complex interference management, cumbersome mobility management, burdensome signaling overheads and higher backhaul costs. Interestingly, most of the problems, that beleaguer network densification, stem from legacy networks' one common feature i.e., tight coupling between the control and data planes regardless of their degree of heterogeneity and cell density. Consequently, in wake of 5G, control and data planes separation architecture (SARC) has recently been conceived as a promising paradigm that has potential to address most of aforementioned challenges. In this article, we review various proposals that have been presented in literature so far to enable SARC. More specifically, we analyze how and to what degree various SARC proposals address the four main challenges in network densification namely: energy efficiency, system level capacity maximization, interference management and mobility management. We then focus on two salient features of future cellular networks that have not yet been adapted in legacy networks at wide scale and thus remain a hallmark of 5G, i.e., coordinated multipoint (CoMP), and device-to-device (D2D) communications. After providing necessary background on CoMP and D2D, we analyze how SARC can particularly act as a major enabler for CoMP and D2D in context of 5G. This article thus serves as both a tutorial as well as an up to date survey on SARC, CoMP and D2D. Most importantly, the article provides an extensive outlook of challenges and opportunities that lie at the crossroads of these three mutually entangled emerging technologies.Comment: 28 pages, 11 figures, IEEE Communications Surveys & Tutorials 201

    Wi-Fi i ljudsko zdravlje

    Get PDF
    An enormous increase in the application of wireless communication in recent decades has intensified research into consequent increase in human exposure to electromagnetic (EM) radiofrequency (RF) radiation fields and potential health effects, especially in school children and teenagers, and this paper gives a snap overview of current findings and recommendations of international expert bodies, with the emphasis on exposure from Wi-Fi technology indoor devices. Our analysis includes over 100 in vitro, animal, epidemiological, and exposure assessment studies (of which 37 in vivo and 30 covering Wi-Fi technologies). Only a small portion of published research papers refers to the “real” health impact of Wi-Fi technologies on children, because they are simply not available. Results from animal studies are rarely fully transferable to humans. As highly controlled laboratory exposure experiments do not reflect real physical interaction between RF radiation fields with biological tissue, dosimetry methods, protocols, and instrumentation need constant improvement. Several studies repeatedly confirmed thermal effect of RF field interaction with human tissue, but non-thermal effects remain dubious and unconfirmed.Značajan porast uporabe bežične RF komunikacije u posljednjim desetljećima te s tim povezane izloženosti ljudi umjetno stvorenom neionizirajućem zračenju (RF polja), koje prije nije postojalo na Zemlji, tema su velikog broja istraživanja mogućih utjecaja tih zračenja na okoliš i zdravlje ljudi, osobito djece i mladih, kako bi se utvrdile činjenice o međudjelovanju RF polja s genskim materijalom živih bića. U ovom radu dan je pregled aktualnih istraživanja i preporuka međunarodnih stručnih tijela. Poseban naglasak dan je na mogući utjecaj radiofrekvencijskoga zračenja na mlade odnosno na školsku djecu koja su mu tijekom školovanja svakodnevno dodatno izložena tijekom e-škole korištenjem najmodernijih Wi-Fi tehnologijskih rješenja za komunikaciju u obrazovanju

    A hybrid NFC-Bluetooth secure protocol for credit transfer among mobile phones

    Full text link
    The next-generation networks improve people's quality of life with new services and applications. The evolution of Internet technologies also promoted the development of electronic commerce and the evolution of mobile payments. Near field communication (NFC) was proposed as a new short-range wireless technology and can play an important role in such issues. Money transactions among mobile devices could play an important role in a near future in order to simplify and perform such operations safely. Furthermore, it is important that tasks are easy to perform. Then, this paper presents a mobile solution based on a peer-to-peer communication system for money transfer, based on NFC and Bluetooth communications. A hybrid communication protocol combining the security characteristics of NFC and better Bluetooth data transfer rates is proposed. The proposal was deployed in real environments, and it was evaluated, demonstrated, and validated with different NFC tags and the Bluetooth traffic was also analyzed. It was shown that system presents good response times. The solution offers a friendly user's interface and very easy to use, guaranteeing the security of money transfer, and it is ready for use.This work has been partially supported by Instituto de Telecomunicacoes, Next Generation Networks and Applications Group (NetGNA), Portugal; by the Spanish Ministry of Education, Culture and Sport with the grant MHE2011-00181; by National Funding from Fundacao para a Ciencia e a Tecnologia (FCT) through the PEst-OE/EEI/LA0008/2011 Project; and by TimWe Lab. Company, Covilha, Portugal.Monteiro, DM.; Rodrigues, JJPC.; Lloret, J.; Sendra, S. (2014). A hybrid NFC-Bluetooth secure protocol for credit transfer among mobile phones. Security and Communication Networks. 7(2):325-337. https://doi.org/10.1002/sec.73232533772Tudzarov, A., & Janevski, T. (2011). Protocols and Algorithms for the Next Generation 5G Mobile Systems. Network Protocols and Algorithms, 3(1). doi:10.5296/npa.v3i1.656Ylinen J Kostela M Iso-Anttila L Loula P Near field communication network services In Proceedings of the Third International Conference on the Digital Society 2009Siira E Tuikka T Törmänen V Location-based mobile Wiki using NFC tag infrastructure In Proceedings of the First International Workshop on Near Field Communication (NFC 2009) 2009Zou J Zhang C Dong C Fan C Wen Z Mobile Payment based on RFID-SIM Card In Proceedings of the 10th IEEE International Conference on Computer and Information Technology (CIT 2010) 2010Global Platform GlobalPlatform's Proposition for NFC Mobile: Secure Element Management and Messaging 2009 http://www.globalplatform.org/documents/GlobalPlatform_NFC_Mobile_White_Paper.pdfMonteiro DM Rodrigues JJPC Lloret J A secure NFC application for credit transfer among mobile phones In Proceeding of 2012 International Conference on Computer, Information and Telecommunication Systems 2012Au, Y. A., & Kauffman, R. J. (2008). The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications, 7(2), 141-164. doi:10.1016/j.elerap.2006.12.004Ondrus, J., & Pigneur, Y. (2008). Near field communication: an assessment for future payment systems. Information Systems and e-Business Management, 7(3), 347-361. doi:10.1007/s10257-008-0093-1Ondrus, J., & Pigneur, Y. (2007). Cross-industry Preferences for Development of Mobile Payments in Switzerland. Electronic Markets, 17(2), 142-152. doi:10.1080/10196780701296386Cavicchi, C., & Vagnoni, E. (2017). Does intellectual capital promote the shift of healthcare organizations towards sustainable development? Evidence from Italy. Journal of Cleaner Production. doi:10.1016/j.ijmedinf.2006.09.016Strömmer E Kaartinen J Pärkkä J Ylisaukko-oja A Korhonen I Application of near field communication for health monitoring in daily life In Proceedings of the 28th IEEE EMBS Annual International Conference 2006Morak J Hayn D Kastner P Drobics M Schreier G Near field communication technology as the key for data acquisition in clinical research In Proceeding of the First International Workshop on Near Field Communication 2009Jara AJ Zamora MA Skarmeta AFG Secure use of NFC in medical environments In Proceedings of 5th European Workshop on RFID Systems and Technologies (RFID SysTech) 2009Madlmayr G Langer J Scharinger J Near field communication based mobile payment system Proceedings der 3. Konferenz Mobilität und Mobile Informations Systeme 2008Leong CY Ong KC Tan KK Gan OP Near Field Communication and Bluetooth Bridge System for Mobile Commerce In Proceedings of the 4th IEEE International Conference on Industrial Informatics 2006Google Wallet web site http://www.google.com/wallet/Steffen R Preißinger J Schöllermann T Müller A Schnabel I Near field communication (NFC) in an automotive environment In Proceedings of 2nd International Workshop on Near Field Communication (NFC) 2010Dominikus S Aigner M mCoupons: an application for near field communication (NFC) In Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07) 2007Bradley, R. C. (1999). On the Growth of Variances in a Central Limit Theorem for Strongly Mixing Sequences. Bernoulli, 5(1), 67. doi:10.2307/3318613Risken, H. (1996). Fokker-Planck Equation. Springer Series in Synergetics, 63-95. doi:10.1007/978-3-642-61544-3_4Czachorski T Pekergin F Diffusion approximation as a modeling tool in congestion control and performance evaluation 2004Haselsteiner E Breitfuβ K Security in near field communication Workshop on RFID Security 2006 In Workshop on RFID Security (RFIDSec'06) 2006Kortvedt HS Mjølsnes SF Eavesdropping near field communication The Norwegian Information Security Conference (NISK 2009) 2009Haataja KMJ Hypponen K Man-in-the-middle attacks on Bluetooth: a comparative analysis, a novel attack, and countermeasures In Proceedings of the 3rd International Symposium on Communications, Control and Signal Processing (ISCCSP 2008) 2008Roland M Langer J Scharinger J Security vulnerabilities of the NDEF signature record type In Proceedings of the Third International Workshop on Near Field Communication 2011NFC Data Exchange Format NFC Forum Technical Specification 2006NFC Record Type Definition NFC Forum Technical Specification 2006Steffen R Preissinger J Schollermann T Muller A Schnabel I Near field communication (NFC) in an automotive environment In Proceedings of 2nd International Workshop on Near Field Communication (WIMA 2010) 2010802.15.1-2002-IEEE Standard for Telecommunications and Information Exchange between Systems-LAN/MAN-Specific Requirements-Part 15: Wireless medium access control (MAC) and physical layer (PHY) specifications for wireless personal area networks (WPANs)Gao J Edunuru K Cai J Shim S P2P-paid: a peer-to-peer wireless payment system In Proceedings of the Second IEEE International Workshop on Mobile Commerce and Services (WMCS) 2005Zolfaghar K Mohammadi S Securing Bluetooth-based payment system using honeypot In Proceedings of International Conference on Innovations in Information Technology (IIT '09) 2009Chen W Hancke GP Mayes KE Lien Y Chiu J-H NFC mobile transactions and authentication based on GSM network In Proceedings of Second International Workshop on Near Field Communication (NFC) 2010Liu W Zhao C Zhong W et al The GPRS mobile payment system based on RFID In Proceedings of International Conference on Communication Technology (ICCT '06) 2006Juels, A. (2006). RFID security and privacy: a research survey. IEEE Journal on Selected Areas in Communications, 24(2), 381-394. doi:10.1109/jsac.2005.861395Pare DF Hoffman N Lee JA Patent Title: tokenless biometric electronic debit and credit transactions 2003Zheng H KeFei C Electronic payment in mobile environment In Proceedings 13th International Workshop Database and Expert Systems Applications 200
    corecore