Back to Search
Start Over
Lightweight and Anonymity-Preserving User Authentication Scheme for IoT-Based Healthcare
- Source :
- IEEE Internet of Things Journal. 9:2649-2656
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- Internet of Things (IoT) produces massive heterogeneous data from various applications, including digital health, smart hospitals, automated pathology labs, and so forth. IoT sensor nodes are integrated with the medical equipment to enable the health workers to monitor the patients’ health condition and appliances in real-time. However, due to security vulnerabilities, an unauthorized user can access health-related information or control the IoT nodes attached to the patient’s body resulting in unprecedented outcomes. Due to wireless channels as a medium of communication, IoT poses several threats such as a denial of service attack, man-in-the-middle attack, and modification attack to the IoT networks’ security and privacy. The proposed research presents a lightweight and anonymity-preserving user authentication protocol to counter these security threats. The given scheme establishes a secure session for the legitimate user and prohibits unauthorized users from gaining access to the IoT sensor nodes. The proposed protocol uses only lightweight cryptography primitives (hash) to alleviate the node’s tiny processor burden. The proposed protocol is efficient and superior because it has low computational and communication costs than conventional protocols. The proposed scheme uses password protection to let only the legitimate user access the IoT sensor nodes to obtain the patient’s real-time health report.
- Subjects :
- Computer Networks and Communications
Computer science
business.industry
Hash function
020206 networking & telecommunications
Denial-of-service attack
02 engineering and technology
Computer security
computer.software_genre
Digital health
Computer Science Applications
Hardware and Architecture
Signal Processing
Node (computer science)
0202 electrical engineering, electronic engineering, information engineering
Wireless
020201 artificial intelligence & image processing
Session (computer science)
business
Protocol (object-oriented programming)
computer
Information Systems
Anonymity
Subjects
Details
- ISSN :
- 23722541
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Internet of Things Journal
- Accession number :
- edsair.doi...........4e50af20b7caf58109078d8070090733