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Proof-Of-Familiarity: A Privacy-Preserved Blockchain Scheme For Collaborative Medical Decision-Making, Jinhong Yang, Md Mehedi Hassan Hasan Onik, Nam-Yong Lee, Mohiuddin Ahmed, Chul-Soo Kim
Proof-Of-Familiarity: A Privacy-Preserved Blockchain Scheme For Collaborative Medical Decision-Making, Jinhong Yang, Md Mehedi Hassan Hasan Onik, Nam-Yong Lee, Mohiuddin Ahmed, Chul-Soo Kim
Research outputs 2014 to 2021
The current healthcare sector is facing difficulty in satisfying the growing issues, expenses, and heavy regulation of quality treatment. Surely, electronic medical records (EMRs) and protected health information (PHI) are highly sensitive, personally identifiable information (PII). However, the sharing of EMRs, enhances overall treatment quality. A distributed ledger (blockchain) technology, embedded with privacy and security by architecture, provides a transparent application developing platform. Privacy, security, and lack of confidence among stakeholders are the main downsides of extensive medical collaboration. This study, therefore, utilizes the transparency, security, and efficiency of blockchain technology to establish a collaborative medical decision-making scheme. This study …
False Image Injection Prevention Using Ichain, Mohiuddin Ahmed
False Image Injection Prevention Using Ichain, Mohiuddin Ahmed
Research outputs 2014 to 2021
The advances in information and communication technology are consistently beneficial for the healthcare sector. A trend in the healthcare sector is the progressive shift in how data are acquired and the storage of such data in different facilities, such as in the cloud, due to the efficiency and effectiveness offered. Digital images related to healthcare are sensitive in nature and require maximum security and privacy. A malicious entity can tamper with such stored digital images to mislead healthcare personnel and the consequences of wrong diagnosis are harmful for both parties. A new type of cyber attack, a false image injection …