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Stuart Ray

dblp:151/1888 · DBLP profile ↗
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4ranked-venue papers
0as first author
3since 2021 · last 2024
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 since 2021Security and privacy · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 60% Cellular and mobile networks · 20% Physical-layer communications · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › power allocation
adaptive power control
0.712023
Simultaneous Data Dissemination Among WiFi and ZigBee Devices · IEEE/ACM Trans. Netw. 2023
Internet of things and sensor networks
cross-technology communication
0.712023
Simultaneous Data Dissemination Among WiFi and ZigBee Devices · IEEE/ACM Trans. Netw. 2023
Internet of things and sensor networks
data dissemination
0.712023
Simultaneous Data Dissemination Among WiFi and ZigBee Devices · IEEE/ACM Trans. Netw. 2023
Cellular and mobile networks › power control
transmission power control
0.712023
Simultaneous Data Dissemination Among WiFi and ZigBee Devices · IEEE/ACM Trans. Netw. 2023
Internet of things and sensor networks › cross-technology communication
wifi to zigbee communication
0.712023
Simultaneous Data Dissemination Among WiFi and ZigBee Devices · IEEE/ACM Trans. Netw. 2023

Methods — techniques the papers use, named apart from their topics

cross-technology communication · 0.7
YearPublicationVenuePosition
2024 Key Establishment for Secure Asymmetric Cross-Technology Communication
abstract
Recent advances in cross-technology communication can support direct communication among heterogeneous IoT devices (i.e., WiFi, ZigBee, and BLE) without requiring any modifications to the hardware, which has significantly improved the communication efficiency and shown great advantages for supporting smart applications. However, until now a key establishment protocol to support secure and reliable asymmetric cross- technology communication (CTC) is missing, which introduces severe privacy and security issues. Existing solutions are not designed for CTC, since they mainly focus on the symmetric communication among homogeneous IoT devices. In this work, we present a Key Establishment Protocol (KEP), which explores and lever- ages the unique feature of CTC - Possibility PN Sequence Reception (PSR) to not only perform key establishment between heterogeneous IoT devices with different physical layers (i.e., WiFi and ZigBee) but also improve the communication reliability at the same time. Our extensive real-world experiments show that KEP can finish the key establishment in seconds and effectively defend against multiple types of attacks. Furthermore, KEP doubles the packet reception ratio compared to the state-of-the-art solutions.
Wei Wang 0190, Xin Liu 0045, Zicheng Chi, Stuart Ray, Ting Zhu 0001
AsiaCCS4
2023 IoT Sentinel: Correlation-based Attack Detection, Localization, and Authentication in IoT Networks
abstract
Security issues have become one of the major challenges for Internet-of-Things (IoT) networks. To overcome this challenge, the recent commonly-used approaches mainly focus on conducting encryption on IoT communication or performing continuous authentication for IoT devices by using pre-shared credentials (e.g., passcode and wireless channel signatures). However, these mechanisms are deemed insufficient, in part, due to the increasing number of data breaches and the recent proliferation of sensitive IoT devices and applications. We present IoT Sentinel - a novel security system that explores the correlation between IoT devices to effectively and efficiently secure IoT networks. Specifically, our system (i) detects potential attacks, (ii) localizes the attacker, and (iii) conducts dynamic implicit authentication at the same time. Moreover, instead of requiring full physical-layer access to IoT devices for finegrained measurement of the wireless signal, IoT Sentinel uses only coarse packet-level device correlation information to secure IoT networks with negligible overhead to the network. Thus, making our approach compatible with existing constrained IoT devices. We extensively evaluate the efficacy of IoT Sentinel in different scenarios and settings. The experiment results show that our approach achieves around 96% attack detection accuracy, more than 70% attacker localization accuracy, and around 100% device authentication accuracy.
Dianshi Yang, Abhinav Kumar 0007, Stuart Ray, Wei Wang 0190, Reza Tourani
ICCCN3
2023 Simultaneous Data Dissemination Among WiFi and ZigBee Devices
abstract
Recent advances in Cross-Technology Communication (CTC) have opened a new door for cooperation among heterogeneous IoT devices to support ubiquitous applications, such as smart homes and smart offices. However, existing work mainly focuses on physical layer performance improvements. In this paper, we explore how to leverage the latest CTC techniques for network layer performance improvements. Specifically, we introduce Waves, which leverages WiFi to ZigBee CTC and WiFi access point’s adaptive transmit power control techniques for reliable and fast data dissemination in low-duty-cycle ZigBee networks. We extensively evaluate our design under various settings. Evaluation results show that Waves can provide reliable data dissemination and is 33.5 times faster than the state-of-the-art protocol in terms of dissemination time.
Wei Wang 0190, Xin Liu 0045, Yao Yao 0009, Zicheng Chi, Stuart Ray, Ting Zhu 0001
IEEE/ACM Trans. Netw.5
1997 Working Toward Acceptance of a Physician Order Entry System
Pat Winslow, Cindy Dolan, Peggy Ardolino, Stuart Ray, Steven F. Mandell, Stephanie L. Reel, Mike Weiner, Todd Gress
AMIA5