Experimental Evaluation to Enhance Security for Health Care System Using Cloud Computing and Near Field Communication
Volumn 3

Experimental Evaluation to Enhance Security for Health Care System Using Cloud Computing and Near Field Communication

Sanjeev Sharma

Electronics & Telecommunication Engineering Department, Sandip Institute of Technology & Research Center, Nashik , Maharashtra, India,

e-mail: sanjeev.sharma@sitrc.org


Developed countries and increasingly mature society of the need to develop smart call in many health care facilities to deliver best medical facilities. Data sharing structure based systems such as online networks of Healthcare Application System has huge demands for distributed data security and efficiency. Use of NFC (Near Field Communication Technology) and proposed Cipher text policy attribute based encryption (CP-ABE standard scheme) in HAS (Healthcare Application System) provides these aspects very well and removes drawback of existing key escrow problems. NFC is a wireless technology operates very close distance of each other less than 3.9 inches or less and stores a unique identification number in it. Application of  CP-ABE encryption standard cryptographic standard for data storage and retrieve from server .

Keywords- NFC, CP-ABE, HAS, Cloud Computing

I. Introduction

Today`s era security  is a big challenges  over  online networks/cloud. Many developed countries and increasingly mature society of the need to develop smart call in many health care facilities, to deliver best Medical facilities. This study suggests a practical idea based on NFC technology for an application that can offer different medicines services to patients. NFC is a high frequency secure wireless communication technology [7].

In the proposed system try to shootout all those issues which are affected on health care system  tends to improve security and efficiency over the cloud network for healthcare system. Monitoring the patients in hospitals, doctor need to operate on every patient differently because every patient has a different illness and different symptoms and chances of getting confusion between patient’s disease and treatment are more.

 Along with this issue patients, health records [1] which depict patient treatment history and reports are retained on paper which is difficult to maintain and unreliable for a longer period. Building healthcare system [2], [3], [4], [5], [6] using NFC Technology it may protect patients and helps the doctor to side out such fatal mistakes while doing treatment and CP-ABE provides a cryptographic solution for data security on the cloud network. Also, use of NFC technology makes the insurance claim nation faster with complete transparency and credibility by connecting it with unique ID of NFC tag and with the use of CP-ABE encryption standard for security purpose.

NFC-enabled handsets are ongoing and finalized with a simple wave or close track of two devices to each other.  NFC enables communication between the tags and electronic equipment, which means that readers and writers [8]. NFC is already used for applications related to financial payments [9] and ticketing. We are proposing a new use of NFC mobile devices to access medical external tags to identify patient health cards. Health cards could be on an external label or retained on patient identification.

NFC allowing users to do safely contact less transactions, the spontaneous digital content, access and connect electronic devices simply by touching or in close taking devices proximity [8]. NFC technology allows three modes: read / write mode connection,peer-to-peer mode connection, and card emulation mode connection [10]. Radio Frequency Identification Technology has been used in different service sector [11]. NFC device can perform as an NFC tag emulator or a tag reader. In reader / writer mode NFC device looks information in the NFC tag or write the information to the tag. These labels can be stuck on chip displays, allowing the user to retrieve additional information by understanding the label with the NFC device.

It detects a label near immediate impact using the escape mechanism. An application on an NFC device can read data from and write data to the tag detected using read-write mode operations [8]. This tag also has to run different applications with the support of NFC device. The supported data rate in this mode is 106 Kbit / s. The second mode is peer to peer mode. In this mode, data is exchanged between the two devices.

NFC has two types of communication. One is the active communication mode and the passive communication. In the active mode of communication throughout the data transmission procedure and the parties themselves generate a carrier.

In the passive communication mode, mobile phone initiating provides support and independent field device responds by modulating the current field. In this mode, the camera can draw its independent operating energy of the electromagnetic field provided Initiator and the creation of a target device transponder. Communication can be active mode / passive mode. Attribute-based encryption (ABE) is a promising approach that achieves a cryptographic access control to fine-grained data [12], [13], [14]. It provides a way to set access policies [15], [16] based on different attributes of the requester, the environment, or the data object. In CP-ABE Standard encryption defines their own attribute set over a group of attributes that must be possessed with decryption in order to decrypt the cipher text [17], [18], [19] and enforce it on the contents [20], [21]. Thus, each user with a different set of attributes is authorized to decrypt the individual data items by the security policy. Also, it removes existing disadvantage of key escrow problems [22].


Nowadays, most research in the health care system is to improve medical facilities to provide the better healthy environment for the patient. In many hospitals,they are very difficult to manage patient records and to provide a better medicine.

Because huge data to be stored on the server and nurses are manually entered using a web browser or client software. In the previous health surveillance system,the doctor needs to attend patients when they take medication at home. Different medical devices that measure, for e.g., blood pressure, weight or heart rate are integrated into the system. They send the measurements to a radio receiver connected to a PC. Users identify themselves using an NFC tag they must put near an NFC enabled-reader PC-drive to store the measurements in the background organization [23]. NFC medium formed the NFC Data Exchange Format (NDEF) and NFC tag  operations. NFC tags are contact less cards based on RFID architecture [24].

NFC competence is appropriate to maintain the user-defined hi-tech experience mobile devices, nurses can perform various tasks related to patient follow up from beginning to end easy communication. NFC mobile phone may interact with   RFID tags (known NFC tags) distributed by [25] environment. In the health care   sector, operation and procedure of RFID technology have been researched, while  its NFC subclass has been tested and found. The latest technological expansions inspired and get accessibility of NFC technology and its applications on smart devices, making good pit selection as far as much custom equipment. In addition ,smart appliances have become an important part of our lives and ease of use has been  definitively evaluated in general and also for elderly people and reduced. Therefore, the possibilities for the commercial potential of NFC technology are great, although the NFC applications have yet to prove their contribution and relevance to the medical field. Little research has focused on improving the value of patients’ treatment.

For example, storage of the separate drug dosing information and the avoidance of unnecessary trips to a pharmacy out of stock in the Voter circumstances [26]. In a clinical context, NFC is used by many researchers. It has implemented a solution based on NFC technology to avoid defects of drugs in hospitals. As an additional way to the success of medical data, define different responses based NFC that allow doctors or nurses to collect data by touching medical devices with a mobile phone.

Smart poster applications are one of the biggest important applications of this mode. In this application, users are able to read data from NFC posters and spend their

 NFC mobile strategies. Review of Literature Survey [27], depicts NFC has been  used in different sectors like smart posters, payment services, electronic wallet, loyalty management etc.

NFC has been used in different sectors like smart posters, payment services, electronic wallet, loyalty management etc. But still not much work has done in Healthcare sectors. Traditionally, NFC based Healthcare system working on the client server approach.

Nowadays many countries are using NFC in public transport systems. Tapping your phone with kiosk gives you up-to-date information about schedule and delays. Contact less cards which used for ticketing options. Many transport agencies from worldwide countries have been using NFC-enabled mobile phones. FC device provides more information on the spot about different places and makes all things easier for tourists. NFC tags placed on monuments for checking can give more information about its monument.

NFC smart posters are the objects in or on which readable NFC tags have been placed. Various smart posters are developed using secure NFC tags. It can be done by using web server for securely retain the details of the poster.The survey is presented on several kind of areas where NFC technology has been used. Existing system like BSW CP-ABE and YWRL-CP-ABE have used CP-ABE standard scheme for security purpose.


NFC health care system is based on the mode of read / write. In reader-writer mode device can access NFC tag. The system architecture consists of following main elements: Doctors’ NFC Enable Smart phone, NFC tag or NFC Device, cloud server. The server centralizes the conversation between the nurse and the doctor. It also includes patients, nurses, and physician database. The server also allows the system administration to manage all this data.

Figure:- System Architecture of Health care System

Nurse/Receptionist will launch the application of NFC Based Hospital Management System by providing the IP address of the server to connect to the server. Once connected to the server. NFC Tags’ unique identification number of the affected patients is permanent and stored in the server. The doctor must log successfully to view the patient’s request. In above figure, the doctor is able to see the patient’s

application form and patient information. If the patient is already registered, then the doctor can also see patients’ previous symptom and medicin prescribed for this symptom. Doctor prescribed the patient and sends the prescription to the mobile phone of the nurse and medical manager. Lastly, Nurse will check the payment and if it is paid, she will clear the account.

Medical insurance module provide the information to insurance agency related to patient details and bills also.


The view of analysis modeling, called structural analysis, considers data and the processes that transform the data as separate entities. Data objects are modeled in a way that defines attributes and relationships.

A. Mathematical Model

Let us consider that we have a Database ’D’ with ’n’ number of attributes of patient

information such as patient name, id, address etc.

D = fA=A Information of patient g

where D is the set of all A such that A is information of patient which is to be stored on Cloud Network. Here we can say,

A= fS1;S2;S3;S4g

Here, A consist of different sets like S1, S2, S3, S4 in that there exists different datasets D1, D2, D3, D4 which is built as following.

Consider Following SET.

[Set S1]

STORE (F, ID, D, Encry, C): Here Receptionist enters patient’s information F into the database D on Cloud Network C in an encrypted form with unique NFC ID.

So we can further assume to have a set ’S1’ to have values ’n’ number of detected values at a particular instance.

Let us depict the current situation in the following manner

S1 = fX1 j X1D1DIDf or Tagg

where S1 is the set of all X1 such that for all X1 there exists Dataset D1 which is uniquely identified by Unique ID of NFC tag’s.

[Set S2]

GET (F, D, Key, C): Here Doctor gets all information F about patient’s previous Check Up History (if exists) from dataset D, Cloud Network C by providing unique

ID of NFC Tag.

Let us depict the current situation in the following manner

S2 = fX2 j X2D2DIDf orTagg

where S2 is the set of all X2 such that for all X2 there exists all patients Check Up History details which can be identified by unique ID of NFC Tag.

PUT(X3, SYM, P, Key, C): Here Doctor will upload patient’s symptoms SYM on

Cloud Network C also with prescription P with X3 instances on dataset which can be identified by unique ID of NFC Tag.

[Set S3]

GET (F, D, Key, C): Here Medical Manager gets all information F about patient’s

Medicines/Prescriptions from dataset D Cloud Network C by providing unique ID of NFC Tag.

Let us depict the current situation in the following manner

S3 = fX4 j X4D3DIDf orTagg

where S3 is the set of all X4 such that for all X4 there exists all patients’ medicine/prescriptions history details which can be identified by unique ID of NFC Tag.

PUT(X4, PAY, P, key, C): Here Medical Manager will update the patient’s payment details PAY (Smart Card) on Cloud Network C also with prescription P with X4 in- stances on dataset identified by unique ID of NFC Tag.

[Set S4]

GET (F, D, Key, C): Here Pathology Manager will conduct the Test and access the

Test Report from Cloud Network C, dataset D by providing unique ID of NFC Tag.

Let us depict the current situation in the following manner

S4 = fX5 j X5D4DIDf orTagg

Where, S4 is the set of all X5 such that for all X5 there exists all Patients Test Conduction Reports History details which can be identified by unique ID of NFC Tags.

PUT(X5, PAY, P, Key, C): Here Pathology Manager will update the patient’s payment

details PAY (Smart Card) on Cloud Network C also with Test Report R with X5 instances on dataset identified by unique ID of NFC Tag.

PUTP(X4, REPORTS, C): Here pathologist will upload patient’s reports on Cloud

Network C.

So, Lastly

We can Say,



Results are depicted in terms of parameters i.e. generation time and no of attributes with the help of graphs and tables. System security becomes stronger as the size of no of attributes increases in the Key-Gen.  The further section describes different data sets used in data extraction from multiple data sources. Specially, BSW CP-ABE analytical data set have been considered here and on the basis of all records, analysis gives the brief idea about which input data is used to get the result and analyze the data extraction with similar system.

Here when patient needs to be admitted in hospital receptionist will allocate NFC tag and MIFARE card to patient and  its all information.

A.Evaluation of Key-Gen Operation in Proposed CP-ABE Toolkit

The running time of cpabe-keygen, cpabe-enc and cpabe-dec are linear with different attributes lattice. Evaluation of CP-ABE-keygen on a range of problem sizes for proposed CP-ABE scheme with attribute lattice are shown below.Cpabe-keygen runs in time precisely linear in the number of attributes lattice associated with the key it is issuing.

In BSW-CP ABE [13] scheme takes 0.015 – 0.0340 sec. for Single attribute in Key Gen operation.In proposed CP-ABE scheme SE inputs key takes 0.0320 sec. at high end. For 12 bit key size, SE Tag requires 0.0320 sec. to read complete key. It is differentiating by 0.0340 – 0.0320 = 0.0020 sec.Proposed scheme reduces running time with SE input key and varies from 0.010 – 0.0320 sec. for Single SE attribute. Below three dimensional graph is showing the surface that connect set of points with respect to the Type of Scheme, Time in sec and No. of Attributes for CP-ABE Toolkit Key-Gen Time for Single SE input Attr.

Figure : CP-ABE Toolkit Key-Gen Time for Single SE input Attr.

It is showing the value for BSW CP-ABE Low, BSW CP-ABE High, Proposed CPABE Low, Proposed CP-ABE High. At right side of graph (BSW CP-ABE Low) from lower end to top corner is showing the value for 0 to 1 Attribute. Here, Low end value is 0 and High end value is 0.015 sec. (For BSW CP-ABE Low Single SE input).

The template will number citations consecutively within brackets [1]. The sentence punctuation follows the bracket [2]. Refer simply to the reference number, as in [3]—do not use “Ref. [3]” or “reference [3]” except at the beginning of a sentence: “Reference [3] was the first . . .”

It has connected the value for 0, 10, 20, 30, 40, 50 attributes at multiple ambit in the graph and its detail chart has shown in below tables. Same indication is depicted for other fields like Proposed CP-ABE Low, BSW CP-ABE High, Proposed CP-ABE High. Second category from right side of graph is Proposed CP-ABE Low.

Figure : CP-ABE Toolkit Key-Gen Time for 50 Attr.

Number footnotes separately in superscripts. Place the actual footnote at the bottom of the column in which it was cited. Do not put footnotes in the reference list. Use letters for table footnotes.

Unless there are six authors or more give all authors’ names; do not use “et al.”. Papers that have not been published, even if they have been submitted for publication, should be cited as “unpublished” [4]. Papers that have been accepted for publication should be cited as “in press” [5]. Capitalize only the first word in a paper title, except for proper nouns and element symbols.

For papers published in translation journals, please give the English citation first, followed by the original foreign-language citation [6].


The proposed CP-ABE standard scheme provides an improved performance and efficiency with the use of secure element in the Key-Gen, CP-ABE- enc and CP-ABE-dec operation. This helps to improve running time of CP-ABE standard scheme operation for no of attributes. It has been observe that  single SE input attribute average time require  0.0320 sec and multiple  time varies from   0.010 – 0.0320 sec.

The use of NFC technology as a Secure Element and Unique identifications is also making the great impact to automate the Healthcare sector.

In proposed system many new additional features can be added. Further include dynamic data of patient. Patient has to wear wearable ECG sensors that will monitor and control patient’s health parameters at run time.


  1. Divyashikha SETHIA, Shantanu JAIN, Himadri KAKKAR, Automated NFC Enabled Rural Healthcare for Re-liable Patient Record Maintainance. Global Telehealth A.C. Smith et al. (Eds.) 2012.
  2. Amol D. Potgantwar, Vijay M. Wadhai, ”A Standalone RFID and NFC based Healthcare System”, Short Paper a Stadalone RFID and NFC Based Healthcare System.
  3. Vishal Patil, Nikhil Varma, Shantanu Vinchurkar, Bhushan Patil, NFC Based Health Monitoring and Controlling System. IEEE Global Conference on WirelessComputing and Networking (GCWCN) 2014.
  4. Divyashikha Sethial, Daya Gupta, Huzur Saran, NFC Based Secure Mobile Healthcare System, 2014.
  5. A Devendran, Dr T Bhuvaneswari and Arun Kumar Krishnan, Mobile Healthcare System using NFC Technolo-gyGiambastiani, B.M.S.. Evoluzione Idrologica ed Idrogeologica Della Pineta di san Vitale (Ravenna). Ph.D. Thesis,Bologna University, Bologna, 2007.
  6. NFC in Public Transport, January 2011.
  7. Ernst Haselsteiner and Klemens Breitfu, Security in Near Field Communication(NFC) 2007.
  8. nfc forum Device Test Application Specification, 2013.
  9. Pardis Pourghomi, Muhammad Qasim Saeed, Gheorghita Ghinea, A Secure Cloud-Based Nfc Mobile Payment Protocol (IJACSA). International Journal of Advanced Computer Science and Applications, Vol. 5, No. 10, 2014.
  10. Roland, Michael Hlzl, Technical Report Evaluation of Contactless Smartcard Antennas Michael, 2015.
  11. Amol D.Potgantwar, V.M.Wadhai, ”Location Based System For Mobile Devices With Integration of RFID and Wireless Technology-Issues and Proposed System.
  12. Vipul Goyal, Omkant Pandey, Amit Sahai, Brent Waters, Attribute-Based Encryption for Fine-Grained Access Control of Encrypted Data, 2009.
  13. John Bethencourt, Amit Sahai, Brent Waters, Ciphertext-Policy Attribute-Based Encryption, 2009.
  14. Mrs. Deepali, A. Gondkar, Mr. V.S. Kadam, Attribute Based Encryption forSecuring Personal Health Record on Cloud. 2nd International Conference on Devices, Circuits and Systems (ICDCS), 2014.
  15. Chia-Hui Liu, Fong-Qi Lin, Chin-Sheng Chen, Tzer-Shyong Chen, Design ofsecure access control scheme for personal health record-based cloud healthcareservice Security and Communication Networks. Published online inWiley Online Library (wileyonlinelibrary.com). DOI: 10.1002/sec.1087, 2014.
  16. Sebastian Zickau, Dirk Thatmann, Tatiana Ermakova, Jonas Repschlager, Rudiger Zarnekow, Axel Kupper, Enabling Location-based Policies in a Healthcare Cloud Computing Environment. IEEE 3rd International Conference on Cloud Networking (CloudNet), 2014.
  17. Peng-Loon Teh, Huo-Chong Ling, Soon-Nyean Cheong, NFC Smartphone Based Access Control System U sing Information Hiding 2013. IEEE Conference on Open Systems (ICOS), December 2 – 4, Sarawak, Malaysia, 2013.
  18. Suhair Alshehri, Stanis?aw P. Radziszowski, Rajendra K. Raj, Secure Access for Healthcare Data in the Cloud Using Ciphertext-Policy Attribute-Based Encryption. IEEE 28th International Conference on Data EngineeringWorkshops, 2012.
  19. Lan Zhou, Vijay Varadharajan, Michael Hitchens, Achieving Secure Role- Based Access Control on Encrypted Data in Cloud Storage. IEEE Transaction on Information Forensics and Security, Vol. 8, No.12, 2013.
  20. Ming Li, Shucheng Yu, Yao Zheng, Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption. IEEE Transaction on Parallel and Distributed Systems, Vol. 24, No.1, 2013.
  21. Linke Guo, Chi Zhang, Jinyuan Sun, A Privacy-Preserving Attribute-Based Authentication System for Mobile Health Networks. IEEE Transaction on Mobile Computing, Vol. 13, No. 9 2014.
  22. Junbeom Hur, Improving Security and Efficiency in Attribute-Based Data Sharing. IEEE Transaction on Know-ledge and Data Engineering, Vol. 25, No 10, 2013.
  23. Kiran Pujari, Atul Aher, Ankita Jadhav, Yugashree Bhadane, NFC+ Android Application by using NFC tech-nology for Hospital Management System. International Journal of Research in Advent Technology, Vol.2, No.2, 2014.
  24. Nicolas T. Courtois, Daniel Hulme, Kumail Hussain, Jerzy A. Gawinecki, Marek Grajek, On Bad Randomness and Cloning of Contactless Payment and Building Smart Cards. IEEE Security and Privacy Workshops, 2013.
  25. Nawaf Alharbe, Anthony S. Atkins, Akbar Sheikh Akbari, Application of Zig- Bee and RFID Technologies in Healthcare in Conjunction with the Internet of Things, 2014.
  26. Steve Hodges and Duncan McFarlane, Radio frequency identification: technology, applications and impact. White Paper Series/Edition 1, 2004.
  27. Vedat Coskun, Busra Ozdenizci, Kerem Ok, A Survey on Near Field Communication (NFC) Technology. Coskun, V., Ozdenizci, B., Ok, K. A Survey on Near Field Communication (NFC) Technology.Wireless personal communications, 71(3), 2259-2294, 2014.
  28. Pardis Pourghomi, Muhammad Qasim Saeed, Gheorghita Ghinea, A Secure Cloud-Based Nfc Mobile Payment Protocol. (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 5, No. 10, 2014.
  29. T. Ali, M. Abdul Awal, Secure Mobile Communication in m-payment system using NFC Technology. IEEE In-ternational Conference on Informatics, Electronics Vision, 2012.
  30. Pardis Pourghomi, Muhammad Qasim Saeed, Gheorghita Ghinea, A Secure Cloud-Based Nfc Mobile Payment Protocol. (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 5, No. 10, 2014.

Authors Profile

Prof. Sanjeev Sharma is a Asst. Professor  of the Department of electronics Engineering, Sandip Foundation’s, Sandip Institute of Technology and Research Centre, Nashik, Maharastra, India.

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