02146nas a2200157 4500008004100000245009400041210006900135260003800204520152900242100002201771700001501793700002401808700002201832700001801854856011601872 2018 eng d00aAn OAuth-Based Authorization Framework for Access Control in Remote Collaboration Systems0 aOAuthBased Authorization Framework for Access Control in Remote  aHuntsville, Alabama, USAc06/20183 a

Advanced human computer interaction systems have made it possible for helpers (professionals) to remotely collaborate with workers (individuals seeking assistance from the professionals). For example, a professional can remotely help a worker fix automobiles or electronics, identify how much of what medication to take, or perform household repairs. We have presented a system, Collaborative Appliance for Remote-help (CARE) that allows for such collaborations. Our system allows a skilled professional or other helper to remotely access and control a worker’s locally deployed resources over the Internet. These locally deployed resources may include cameras, microphones, speakers, processors, and memory. The remote helper then directs the worker to perform specific tasks to complete the job at hand. Like other Internet of Things (IoT) based systems, CARE is inputconstrained. That is, a worker cannot provide input via a touch screen or keyboard.

The resources are accessed over the Internet. Thus, security and privacy are big concerns. In this paper, we present the authorization and access control framework for the inputconstrained CARE system. This framework has been implemented using the OAuth 2.0 Authorization Framework and has been designed to meet the needs of resource owners who have no technical knowledge. We have shown that our proposed framework is very effective and consistent with the access control guidelines set by the National Institute of Standards and Technology (NIST).

1 aJonnada, Srikanth1 aDantu, Ram1 aShrestha, Pradhumna1 aRanasinghe, Ishan1 aWidick, Logan uhttps://nsl.cse.unt.edu/content/oauth-based-authorization-framework-access-control-remote-collaboration-systems04194nas a2200589 4500008004100000245008800041210006900129260000900198520239900207653002002606653002002626653005602646653001802702653001502720653001902735653001302754653001902767653001502786653001502801653001602816653001602832653002902848653002502877653001802902653001802920653002002938653002602958653001702984653003103001653003003032653003403062653002703096653002803123653003703151653001903188653002203207653004203229653000803271653002503279653001303304653001203317653001703329653001603346653001603362653000903378100002403387700001503411700002403426700001903450700002303469856011203492 2017 eng d00aOptimized and Secured Transmission and Retrieval of Vital Signs from Remote Devices0 aOptimized and Secured Transmission and Retrieval of Vital Signs  cJuly3 a

Smartphones and other mobile platforms provide a low cost and easily accessible method of monitoring patient health, and aid healthcare professionals in early detection of disease. Immediate access to the gathered data is an essential factor in effective patient care. But the current processes used for patients' vital data collection is slow and error prone. This undermines the advantages of remote monitoring that mobile platforms for health monitoring provide. In this paper, we propose to upload the patient health information to the Cloud. We investigate three different models to transfer data from the smartphone to the Cloud-perform all computations in the smartphone, perform all computations in the Cloud, and divide the computations between the smartphone and the Cloud. The second approach was found to be infeasible due to very high latency in data transfer with a delay of 2.84 seconds at an upload speed of 2500 KBytes per second. In order to protect the privacy of patients, it is required by law that the data gathered from remote monitoring by using mobile platforms must be kept private, and be secured before uploading to the Cloud. This paper explores the use of prominent public key encryption algorithms and their performance on a mobile device to securely transmit confidential electronic personal health information to the Cloud. We analyze performance of three common public key encryption schemes -RSA, Diffie-Hellman, and ECC. It is shown that 160 bit key size in ECC scheme provides the same level of security that a 1024 bit key size does in RSA and Diffie-Hellman. Further, the encryption and decryption time required by ECC is three times less than the other two schemes. Hence, ECC not only requires a smaller key size to provide the same level of security, but also faster encryption and decryption times as compared to the other two schemes. This makes ECC algorithms suitable to be implemented in resource constrained mobile platforms. We also compared ECC curves from three different standards - NIST, SECG, and Brainpool - to determine the optimum ECC curve, and key size to encrypt data in the mobile phone platform. It is shown that the Brainpool curve performed better than the other two standards when the key size is less than 521 bits. We also measured the latency of uploading encrypted data in a wide variety of WiFi and mobile networks.

10aBrainpool curve10aCloud computing10aconfidential electronic personal health information10adata transfer10adecryption10aDiffie-Hellman10aDiseases10aECC algorithms10aECC curves10aencryption10aerror prone10ahealth care10ahealthcare professionals10aMobile communication10amobile device10amobile health10amobile networks10amobile phone platform10apatient care10apatient health information10apatient health monitoring10apatient vital data collection10aPerformance evaluation10apublic key cryptography10apublic key encryption algorithms10aremote devices10aremote monitoring10aresource constrained mobile platforms10aRSA10asecured transmission10aSecurity10aservers10asmart phones10asmartphones10avital signs10aWiFi1 aThiyagaraja, Shanti1 aDantu, Ram1 aShrestha, Pradhumna1 aThompson, Mark1 aSmith, Christopher uhttps://nsl.cse.unt.edu/content/optimized-and-secured-transmission-and-retrieval-vital-signs-remote-devices