ABAC 2016 - Proceedings of the 2016 ACM International Workshop on Attribute Based Access Control, co-located with CODASPY 2016

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Computer Science

Health Professions
- Health Information Management

Medicine

Social Sciences
- Health (social science)

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

Controlling and managing access to sensitive data has been an ongoing challenge for decades. Attribute Based Access Control (ABAC) represents the latest milestone in the evolution of logical access control methods. The goal of this inaugural Workshop on Attribute Based Access Control (ABAC '16), held in conjunction with the 6th ACM Conference on Data and Applications Security and Privacy (CODASPY 2016), is to foster a community of researchers interested in all aspects of attribute based access control. ABAC is a fine-grained and a flexible form of access control. To realize its full potential, a number of major challenges need to be addressed including formal modeling and analysis of ABAC such as its safety and expressive power, administrative models for ABAC, attribute assurance, ABAC policy engineering and mining, privacy concerns in ABAC, etc. This inaugural ABAC '16 workshop features papers on various aspects of ABAC including formal models for ABAC and its relationship with XACML, data fusion concerns in attribute engineering, relevance of ABAC to application domains such as information sharing and online social networks, ABAC policy language for REST API, ABAC policy clustering, and trustworthiness of attributes. We hope the workshop attendees will find this wide variety of topics mto be insightful, and helpful in advancing the field of ABAC

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SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2017	0.200
2018	0.338
2019	0.423

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2017	0
2018	0
2019	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2017	2.100
Cites / Doc. (4 years)	2018	2.300
Cites / Doc. (4 years)	2019	3.000
Cites / Doc. (3 years)	2017	2.100
Cites / Doc. (3 years)	2018	2.300
Cites / Doc. (3 years)	2019	3.000
Cites / Doc. (2 years)	2017	2.100
Cites / Doc. (2 years)	2018	2.300
Cites / Doc. (2 years)	2019	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2017	0
Self Cites	2018	0
Self Cites	2019	0
Total Cites	2017	21
Total Cites	2018	23
Total Cites	2019	30

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2017	2.100
External Cites per document	2018	2.300
External Cites per document	2019	3.000
Cites per document	2017	2.100
Cites per document	2018	2.300
Cites per document	2019	3.000

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2017	0
2018	0
2019	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2017	2
Non-citable documents	2018	2
Non-citable documents	2019	2
Citable documents	2017	8
Citable documents	2018	8
Citable documents	2019	8

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2017	4
Uncited documents	2018	3
Uncited documents	2019	5
Cited documents	2017	6
Cited documents	2018	7
Cited documents	2019	5

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