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Alaa S. Alaerjan

dblp:184/0277 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Security and privacy · 1 · 1 since 2021

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.

Network and information security
1 paper
Authentication and access control · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Authentication and access control › access control models
attribute-based access control
0.612022
ABAC-Based Security Model for DDS · IEEE Trans. Dependable Secur. Comput. 2022
Distributed systems › publish/subscribe systems
publish/subscribe middleware
0.612022
ABAC-Based Security Model for DDS · IEEE Trans. Dependable Secur. Comput. 2022

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

XACML · 1.7ABAC · 1.7
YearPublicationVenuePosition
2022 ABAC-Based Security Model for DDS
abstract
Security is increasingly critical in data communication of distributed environments. DDS is a middleware standard for data-centric publish/subscribe communication in a large scale real-time environment. DDS provides a security model for secure data communication. A major service of the security model is authorization. The authorization is based on the contents of messages rather than the information about the participant which should be the subject for access control. In this article, we present a novel approach for improved authorization of the DDS security model using ABAC. We first analyze the DDS security model and identify integration points for ABAC. Based on the analysis, we incorporate ABAC entities into the security model with ABAC behaviors defined across RTPS and DCPS. We implemented the model in XACML and evaluated by applying it to a patient monitoring system in the healthcare domain for its effectiveness, scalability, and efficiency in a controlled environment. The evaluation on effectiveness demonstrates that the model successfully enforces access control during the discovery process in a dynamic changing setting. The evaluation on scalability and efficiency demonstrates that the model is capable of handling 1,050 access requests simultaneously under the average of 40.60 milliseconds which satisfies the TT3 requirements in IEC 61850-5 with the average ABAC overheads of 10.62 milliseconds accounting for 26.67 percent of the communication time.
Hwimin Kim, Dae-Kyoo Kim, Alaa S. Alaerjan
IEEE Trans. Dependable Secur. Comput.3