Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Data Covert Channels between the Secure World and the Normal World in the ARM TrustZone Architectureopen access

Authors
Haehyun, C.H.O.
Issue Date
Nov-2022
Publisher
Institute of Electronics Information Communication Engineers
Keywords
ARM TrustZone; cache side-channel; covert channels
Citation
IEICE Transactions on Information and Systems, v.E105D, no.11, pp.1925 - 1927
Journal Title
IEICE Transactions on Information and Systems
Volume
E105D
Number
11
Start Page
1925
End Page
1927
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/43681
DOI
10.1587/transinf.2022NGL0002
ISSN
0916-8532
Abstract
The ARM TrustZone architecture, which provides hardware-assisted isolation, is widely adopted in mobile and IoT devices. The security of ARM TrustZone relies on the idea of splitting system-on-chip hardware and software into two worlds, namely normal world and secure world. There are legitimate channels at the hardware level that the normal world and the secure world can use to communicate with each other. To protect these channels from being abused, research efforts were invested on restricting the access to these channels from normal world components. Therefore, only predefined and legitimate normal world components can use cross-world communication channels. In this work, we present a study on data covert channels that can bypass such protection mechanisms and smuggle sensitive information. We first analyze causes of the noise in the covert channel between two worlds. Then, we evaluate the accuracy and bandwidth of covert channels built by our Prime+Count method with one built by Prime+Probe method. Our results demonstrate that Prime+Count is an effective technique for enabling cross-world covert channels in the ARM TrustZone. © 2022 The Institute of Electronics, Information and Communication Engineers.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Information Technology > School of Software > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher CHO, HAEHYUN photo

CHO, HAEHYUN
College of Information Technology (School of Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE