View : 514 Download: 0

A network-independent tool-based usable authentication system for Internet of Things devices

Title
A network-independent tool-based usable authentication system for Internet of Things devices
Authors
Jung C.Choi J.Jang R.Mohaisen D.Nyang D.
Ewha Authors
양대헌
SCOPUS Author ID
양대헌scopus
Issue Date
2021
Journal Title
Computers and Security
ISSN
0167-4048JCR Link
Citation
Computers and Security vol. 108
Keywords
Authentication systemDigitalSealGateway securityInternet of Things (IoT)IoT security
Publisher
Elsevier Ltd
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
In this paper, we introduce a hardware-based system with a protocol realization to authenticate Internet of Things (IoT) devices. DigitalSeal is a novel standalone network-independent authentication tool implemented using an Arduino UNO and various components. DigitalSeal ’s I/O elements read a barcode and display a barcode data and its corresponding HMAC, which are used for authentication. DigitalSeal can manage cryptographic keys securely and provide a data integrity in order to defend against Man-in-the-Middle (MitM) and Man-in-the-Browser (MitB) attacks. Moreover, DigitalSeal can be used in various applications, such as an authentication system or protocol, an online/offline transaction, a login session, and an IoT device authentication. Using DigitalSeal, we propose a new protocol for IoT device authentication, providing various security benefits and reducing the burden of key maintenance for a large number of IoT devices. Our authentication protocol realization with DigitalSeal provides a convenient method for securely managing password for multiple IoT devices, prevents unauthorized IoT devices from connecting to the user's gateway (an IoT home/enterprise network), and secures the communication between the IoT device and the gateway. Our system and associated protocol are both cost-effective and usable. According to our experiments, most users are able to obtain the authentication credential (the HMAC) within 3 seconds with more than 93% accuracy using DigitalSeal. © 2021
DOI
10.1016/j.cose.2021.102338
Appears in Collections:
인공지능대학 > 사이버보안학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE