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Journal articles on the topic 'Smartcard'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 June 2025

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1

Kristanti, Ayu Dian, and Didik Setiyadi. "Sistem Pembayaran Otomatis Berbasis Contactless Smartcard dengan Teknologi RFID di Kantin SMK Taman Harapan Bekasi." Journal of Students‘ Research in Computer Science 2, no. 2 (2021): 177–88. http://dx.doi.org/10.31599/jsrcs.v2i2.915.

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During a pandemic, we must reduce physical contact both with other people and with objects around us. With automatic payments using RFID technology based on the Internet of Things and websites to minimize physical contact (contactless smartcards) and minimize fraud in transactions. The system uses RFID sensors, Nodemcu esp8266, Jumper cables, I2c LCDs, and databases. Using the Prototype method that works continuously through collaboration between users and analysts. The contactless smartcard system at the SMK Taman Harapan Bekasi canteen can make transactions easier in the canteen. The contact

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2

Cherrill, David. "Smartcard certification." Information Security Technical Report 4 (January 1999): 5–6. http://dx.doi.org/10.1016/s1363-4127(99)80021-1.

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3

Cherrill, D., and A. Brocklehurst. "Smartcard certfication." Information Security Technical Report 4, no. 2 (1999): 42–50. http://dx.doi.org/10.1016/s0167-4048(99)80013-2.

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4

Ayer, Ken. "Mitigating smartcard risks." Information Security Technical Report 4 (January 1999): 6–7. http://dx.doi.org/10.1016/s1363-4127(99)80023-5.

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5

Burns, Susan, and George R. S. Weir. "Varieties of smartcard fraud." International Journal of Electronic Security and Digital Forensics 1, no. 4 (2008): 374. http://dx.doi.org/10.1504/ijesdf.2008.021455.

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6

Alyanakian, Edmond. "The Smartcard in Norway." Retail and Distribution Management 16, no. 2 (1988): 25–28. http://dx.doi.org/10.1108/eb018370.

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7

Cahyani, Oktarina, and Muhammad Abduh. "Smartcard Dan Perannya Dalam Pemahaman Nilai Mata Uang Bagi Siswa Sekolah Dasar." Aulad: Journal on Early Childhood 8, no. 1 (2025): 271–78. https://doi.org/10.31004/aulad.v8i1.969.

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Penggunaan transaksi non-tunai semakin berkembang di lingkungan pendidikan, salah satunya melalui implementasi smartcard di sekolah dasar. Teknologi ini tidak hanya mempermudah transaksi keuangan tetapi juga membantu siswa memahami nilai mata uang serta mengembangkan keterampilan matematika dan literasi keuangan sejak dini. Penelitian ini menggunakan metode studi kasus di SD Muhammadiyah 1 Ketelan Surakarta dengan teknik wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa smartcard membantu siswa dalam menghitung saldo, memahami nilai mata uang, dan membuat keputusan fina

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8

Sun, Shichao, and Dongyuan Yang. "Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China." Journal of Advanced Transportation 2018 (November 1, 2018): 1–10. http://dx.doi.org/10.1155/2018/9693272.

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Understanding the travel patterns of public transit commuters was important to the efforts towards improving the service quality, promoting public transit use, and better planning the public transit system. Smartcard data, with its wide coverage and relative abundance, could provide new opportunities to study public transit riders’ behaviors and travel patterns with much less cost than conventional data source. However, the major limitation of smartcard data is the absence of social attributes of the cardholders, so that it cannot clearly extract public transit commuters and explain the mechan

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9

Thani, Fakhriyah Abdullah, and Muhammad Anshari. "Maximizing Smartcard for Public Usage." International Journal of Asian Business and Information Management 11, no. 2 (2020): 121–32. http://dx.doi.org/10.4018/ijabim.2020040108.

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With the rise of smart cards, it has utilized so that multiple applications can be built into the technology. This research aims to offer a multipurpose smart card as a solution for the duplicate smart card system. Using a mixed methods approach, one hundred samples were collected from the public. The data was analyzed using descriptive statistics. A Plan-Do-Check-Act (PDCA) assessment and a Root Cause Analysis (RCA) were used to analyze the collected data. The results indicated that the public views the current smart card system serves only a limited function and are open to the idea of a mul

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10

Gengler, Barbara. "US Army Chooses Smartcard Technology." Network Security 2002, no. 1 (2002): 5–6. http://dx.doi.org/10.1016/s1353-4858(02)00114-9.

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11

., Abu Abraham Mathews. "TRAIN TICKETING SYSTEM USING SMARTCARD." International Journal of Research in Engineering and Technology 03, no. 15 (2014): 133–38. http://dx.doi.org/10.15623/ijret.2014.0315024.

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12

Kumar, Senthil, and V. Mathivanan. "NFC Secured Offline Password Storage." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 3 (2017): 730. http://dx.doi.org/10.11591/ijeecs.v8.i3.pp730-732.

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<p>In this paper is all about constructing a device called “One-WORD” that aims to solve this problem. One-word is an offline password keeper aimed at saving and encrypting the passwords in a more secure manner. The main device contains the encrypted passwords while a secure NFC smartcard and a personal pin-code allows the decryption. Even if an attacker is able to get hold the smartcard, or the device it is completely useless without the personal code. </p>

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13

Zhou, Jiangping, Jonathan Corcoran, and Rosabella Borsellino. "Mapping cities by transit riders’ trajectories: The case of Brisbane, Australia." Environment and Planning A: Economy and Space 49, no. 8 (2017): 1707–9. http://dx.doi.org/10.1177/0308518x17702647.

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Emerging non-traditional data (NTD) such as transit agencies' smartcard data and Google's General Transit Feed Specifications (GTFS) have made it easier to unveil the way in which public transit remains relevant, reveal how it facilitates daily mobility, and highlight the way in which different locales across a metropolitan area are connected by public transit. Based on a 24-h period of smartcard data for Brisbane (4 March 2014) allied with GTFS data, we retrieved 205,560 distinct transit riders' trip trajectories by direction (AM/inbound vs. PM/outbound) in Brisbane, Australia. It visualises

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14

Munir, Kashif, and Lawan A. Mohammed. "Biometric Smartcard Authentication for Fog Computing." International Journal of Network Security & Its Applications 10, no. 6 (2018): 35–45. http://dx.doi.org/10.5121/ijnsa.2018.10604.

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15

Bryan, H., and P. Blythe. "Understanding behaviour through smartcard data analysis." Proceedings of the Institution of Civil Engineers - Transport 160, no. 4 (2007): 173–77. http://dx.doi.org/10.1680/tran.2007.160.4.173.

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16

Eseosa, Omorogiuwa. "Access Control Using Smartcard And Passcode." IOSR Journal of Electrical and Electronics Engineering 4, no. 5 (2013): 29–34. http://dx.doi.org/10.9790/1676-0452934.

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17

Clark, Paul C., and Lance J. Hoffman. "BITS: a smartcard protected operating system." Communications of the ACM 37, no. 11 (1994): 66–70. http://dx.doi.org/10.1145/188280.188371.

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18

Yuen, Horace P. "No-clone smartcard via quantum memory." Physics Letters A 265, no. 3 (2000): 173–77. http://dx.doi.org/10.1016/s0375-9601(99)00886-5.

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19

Liao, Ziqi, Xinping Shi, and Wing-Keung Wong. "Key determinants of sustainable smartcard payment." Journal of Retailing and Consumer Services 21, no. 3 (2014): 306–13. http://dx.doi.org/10.1016/j.jretconser.2014.02.001.

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20

Höjerback, Peter. "Smartcard chips ready for fingerprint matching." Biometric Technology Today 8, no. 6 (2000): 5. http://dx.doi.org/10.1016/s0969-4765(00)06008-2.

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21

Bundy, Alan. "Information Literacy: The 21stCentury Educational Smartcard." Australian Academic & Research Libraries 30, no. 4 (1999): 233–50. http://dx.doi.org/10.1080/00048623.1999.10755099.

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22

Terada, Masayuki, Kensaku Mori, Kazuhiko Ishii, et al. "A Framework for Distributed Inter-smartcard Communication." IPSJ Digital Courier 2 (2006): 120–32. http://dx.doi.org/10.2197/ipsjdc.2.120.

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23

TRÉPANIER, Martin, and Robert CHAPLEAU. "DESTINATION ESTIMATION FROM PUBLIC TRANSPORT SMARTCARD DATA." IFAC Proceedings Volumes 39, no. 3 (2006): 393–98. http://dx.doi.org/10.3182/20060517-3-fr-2903.00209.

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24

Park, Hee-Joo, and Chonggun Kim. "Enhanced Smartcard based Multi-Server Authentication Scheme." International Journal of Security and Its Applications 7, no. 6 (2013): 155–64. http://dx.doi.org/10.14257/ijsia.2013.7.6.16.

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25

Rakers, P., L. Connell, T. Collins, and D. Russell. "Secure contactless smartcard ASIC with DPA protection." IEEE Journal of Solid-State Circuits 36, no. 3 (2001): 559–65. http://dx.doi.org/10.1109/4.910496.

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26

Munizaga, Marcela, Flavio Devillaine, Claudio Navarrete, and Diego Silva. "Validating travel behavior estimated from smartcard data." Transportation Research Part C: Emerging Technologies 44 (July 2014): 70–79. http://dx.doi.org/10.1016/j.trc.2014.03.008.

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27

Holloway, Chris. "Controlling digital signature services using a smartcard." Computers & Security 14, no. 5 (1995): 419. http://dx.doi.org/10.1016/0167-4048(95)97118-t.

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28

Holloway, Christopher J. "Controlling digital signature services using a smartcard." Computers & Security 14, no. 8 (1995): 681–90. http://dx.doi.org/10.1016/0167-4048(96)81708-1.

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29

Yong, Seung-Lim, and Tae-Nam Cho. "An Efficient User Authentication Protocol using Smartcard." Journal of the Korea Society of Computer and Information 15, no. 12 (2010): 109–16. http://dx.doi.org/10.9708/jksci.2010.15.12.109.

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30

Scheuermann, D. "The smartcard as a mobile security device." Electronics & Communication Engineering Journal 14, no. 5 (2002): 205–10. http://dx.doi.org/10.1049/ecej:20020503.

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31

Urien, Pascal. "Internet smartcard benefits for Internet security issues." Campus-Wide Information Systems 20, no. 3 (2003): 105–14. http://dx.doi.org/10.1108/10650740310484250.

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32

John, Albert Mayan, S. Prince Mary, K. Mohana Prasad, Moulya Naveena, and Nishitha Laveti. "Authentication for cloud computing system through smartcard." International Journal of Cloud Computing 11, no. 5/6 (2022): 518. http://dx.doi.org/10.1504/ijcc.2022.128697.

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33

Quý, Trần Ngọc, and Phùng Văn Quyền. "Experimental results of electromagnetic analysis on smartcard." Journal of Science and Technology on Information security 2, no. 19 (2023): 5–14. http://dx.doi.org/10.54654/isj.v9i01.974.

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Abstract— Electromagnetic analysis attack is a form of side channel attack that can be used to reveal secret information of a cryptographic device by examination of electromagnetic radiations. The effectiveness of EMA has a large dependences on the quality of the electromagnetic radiation measured by the measuring system and how the EM traces are simulated during the key recovery procedures. In this paper, we propose the practical procedure for electromagnetic analysis attack methods and the experimental results of EMA on smartcard that implemented AES algorithm, including assessing the influe

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34

Laveti, Nishitha, Moulya Naveena, K. Mohana Prasad, S. Prince Mary, and Albert Mayan John. "Authentication for cloud computing system through smartcard." International Journal of Cloud Computing 11, no. 5/6 (2022): 518. http://dx.doi.org/10.1504/ijcc.2022.10053731.

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35

Muhardi, Muhardi, Dedy Yasriady, and Hendry Fonda. "MANAJEMEN ABSENSI DI PEMERINTAH KOTA PEKANBARU BERBASIS MVC DAN LARAVEL." Jurnal Ilmu Komputer 9, no. 2 (2020): 72–82. http://dx.doi.org/10.33060/jik/2020/vol9.iss2.169.

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Menegakkan disiplin pegawai adalah hal yang mendasar dalam suatu instansi guna meningkatkan produktifitas sumber daya manusianya. Hal ini dapat dimulai dengan menegakkan disiplin kehadiran pegawai, dengan pengontrolan yang tepat, akurat dan cepat. Salah satunya yang dikembangkan disini adalah aplikasi manajemen absensi dalam bentuk web berbasis MVC menggunakan framework Laravel. Pemograman dengan menggunakan metode Model View Controller (MVC. Manajemen absensi ini merupakan aplikasi yang mengolah data log yang dihasilkan oleh perangkat absensi kartu smartcard. Smartcard ini diterbitkan oleh PT

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36

Utomo, Samuel Aditya, Darmawan Utomo, and Banu Wirawan Yohanes. "Sistem e-money berbasis Contactless Smartcard dengan Teknologi RFID." Techné : Jurnal Ilmiah Elektroteknika 15, no. 01 (2016): 67–75. http://dx.doi.org/10.31358/techne.v15i01.142.

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Sistem pembayaran elektronik makin banyak dilakukan baik melalui phone banking, Internet banking, maupun smartcard berbasis RFID. Selain kemudahan dalam bertransaksi, sistem pembayaran elektronik juga menawarkan keringanan biaya transaksi. Namun transaksi elektronik tersebut dapat menyediakan celah keamanan data pengguna, penyedia layanan, dan transaksi. Artikel ini membahas salah satu metode pembayaran elektronik, yaitu sistem e-money dan aplikasi prototipe menggunakan contactless smartcard dengan teknologi RFID. Data transaksi yang dikirim antar komputer yang berpartisipasi pada transaksi e-

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37

Liu, Wusheng, Qian Tan, and Lisheng Liu. "Destination Estimation for Bus Passengers Based on Data Fusion." Mathematical Problems in Engineering 2020 (September 16, 2020): 1–10. http://dx.doi.org/10.1155/2020/8305475.

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The planning and operation of urban buses depend heavily on the time-varying origin-destination (OD) matrix for bus passengers. In most cities, however, only boarding information is recorded, while the alighting information is not available. This paper proposes a novel method to predict the destination of a single bus passenger based on bus smartcard data, metro smartcard data, and global positioning system (GPS) bus data. First, the attractiveness of each bus stop in a bus line was evaluated, considering the attractiveness of nearby metro stations. Then, the exploration and preferential retur

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38

Cheng, Ching-Hsue, Ming-Chi Tsai, and Yi-Chen Cheng. "An Intelligent Time-Series Model for Forecasting Bus Passengers Based on Smartcard Data." Applied Sciences 12, no. 9 (2022): 4763. http://dx.doi.org/10.3390/app12094763.

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Public transportation systems are an effective way to reduce traffic congestion, air pollution, and energy consumption. Today, smartcard technology is used to shorten the time spent boarding/exiting buses and other types of public transportation; however, this does not alleviate all traffic congestion problems. Accurate forecasting of passenger flow can prevent serious bus congestion and improve the service quality of the transportation system. To the best of the current authors’ knowledge, fewer studies have used smartcard data to forecast bus passenger flow than on other types of public tran

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39

Vaughan, James, Ahmadreza Faghih Imani, Bilal Yusuf, and Eric J. Miller. "Modelling cellphone trace travel mode with neural networks using transit smartcard and home interview survey data." European Journal of Transport and Infrastructure Research 20, no. 4 (2020): 269–85. http://dx.doi.org/10.18757/ejtir.2020.20.4.5429.

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This study proposes a framework to impute travel mode for trips identified from cellphone traces by developing a deep neural network model. In our framework, we use the trips from a home interview survey and transit smartcard data, for which the travel mode is known, to create a set of artificial pseudo-cellphone traces. The generated artificial pseudo-cellphone traces with known mode are then used to train a deep neural network classifier. We further apply the trained model to infer travel modes for the cellphone traces from cellular network data. The empirical case study region is Montevideo

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40

Xie, Xiaoyan, Fabien Leurent, and Yazi Zhu. "Mining passenger’s regional intermodal mobility from smartcard data." Transportation Research Procedia 52 (2021): 724–31. http://dx.doi.org/10.1016/j.trpro.2021.01.087.

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41

Choi, Hanna, Yongwha Chung, Wooyong Choi, Sungju Lee, Hyeonjoong Cho, and Sungbum Pan. "Smartcard-based Secret Distribution for Secure Fingerprint Verification." IETE Journal of Research 57, no. 4 (2011): 299. http://dx.doi.org/10.4103/0377-2063.86263.

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42

Trépanier, Martin, Catherine Morency, and Bruno Agard. "Calculation of Transit Performance Measures Using Smartcard Data." Journal of Public Transportation 12, no. 1 (2009): 79–96. http://dx.doi.org/10.5038/2375-0901.12.1.5.

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43

Kwang Cheul Shin, and Kyu Jong Oh. "Smartcard-Based Remote Authentication Scheme Preserving User Anonymity." International Journal of Information Processing and Management 4, no. 2 (2013): 10–18. http://dx.doi.org/10.4156/ijipm.vol4.issue2.2.

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44

Huang, Jie, David Levinson, Jiaoe Wang, Jiangping Zhou, and Zi-jia Wang. "Tracking job and housing dynamics with smartcard data." Proceedings of the National Academy of Sciences 115, no. 50 (2018): 12710–15. http://dx.doi.org/10.1073/pnas.1815928115.

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Residential locations, the jobs–housing relationship, and commuting patterns are key elements to understand urban spatial structure and how city dwellers live. Their successive interaction is important for various fields including urban planning, transport, intraurban migration studies, and social science. However, understanding of the long-term trajectories of workplace and home location, and the resulting commuting patterns, is still limited due to lack of year-to-year data tracking individual behavior. With a 7-y transit smartcard dataset, this paper traces individual trajectories of reside

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45

Alawi, Adel Ismail Al, and Mohammed Ahmed Al Amer. "Smartcard implementation in Bahrain: public acceptance and readiness." Electronic Government, an International Journal 4, no. 2 (2007): 227. http://dx.doi.org/10.1504/eg.2007.013985.

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46

Plana, L. A., P. A. Riocreux, W. J. Bainbridge, et al. "SPA—a secure Amulet core for smartcard applications." Microprocessors and Microsystems 27, no. 9 (2003): 431–46. http://dx.doi.org/10.1016/s0141-9331(03)00093-0.

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47

Reimer, Helmut. "19. SIT-SmartCard-Workshop, 3.-4.02.2009 in Darmstadt." Datenschutz und Datensicherheit - DuD 33, no. 3 (2009): 205–6. http://dx.doi.org/10.1007/s11623-009-0030-6.

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48

Struif, Bruno M. "Smartcard standardization: Inter-industry commands and application selection." Computer Standards & Interfaces 17, no. 1 (1995): 81–87. http://dx.doi.org/10.1016/0920-5489(93)e0073-b.

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49

Fan, Kai, Hai Deng, Hui Li, and Yintang Yang. "Privacy Protection Smartcard Authentication Scheme in Cloud Computing." Chinese Journal of Electronics 27, no. 1 (2018): 41–45. http://dx.doi.org/10.1049/cje.2017.10.002.

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50

leithy, Ibrahim M. El, Gouda I. Salama, and Tarek A. Mahmoud. "Fingerprint representation and matching for secure smartcard authentication." International Journal of Biometrics 9, no. 2 (2017): 81. http://dx.doi.org/10.1504/ijbm.2017.085671.

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