DLSeF: A Dynamic Key-Length-based Efficient Real-Time Security Verification Model for Big Data Stream
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 225970-263350-1292
- Type
- D - Journal article
- DOI
-
10.1145/2937755
- Title of journal
- ACM Transactions on Embedded Computing Systems (TECS)
- Article number
- 51
- First page
- -
- Volume
- 16
- Issue
- 2
- ISSN
- 1539-9087
- Open access status
- Deposit exception
- Month of publication
- April
- Year of publication
- 2017
- URL
-
https://doi.org/10.1145/2937755
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
F - Networked and Ubiquitous Systems Engineering (NUSE)
- Citation count
- 34
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This output presents a theoretical model validating security approaches against integrity, confidentiality and authentication attacks. The result surpasses all existing security models using industry standard benchmarking while affording integration with stream processing engines, such as Spark and Kafka, which is the key requirement of scalable end-to-end system building. It is a milestone in solving the problems of filtering out corrupted data streams before they appear to stream processing engines. The paper was published in a leading journal for embedded computing systems, and its significance is evidenced by 38 Google Scholar and 25 Scopus citations.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -