Submitted outputs' details

The submitted outputs' details allows you to browse and search for outputs submitted to the REF 2021. Use the search and filters below to find the outputs you are looking for.

Back

An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks SAD-F: Spark Based Anomaly Detection Framework

Submitting institution: University of Gloucestershire
Unit of assessment: 12 - Engineering
Output identifier: 419
Type: D - Journal article
DOI: 10.1109/access.2020.3042905
Title of journal: IEEE Access
Article number: -
First page: 219483
Volume: 8
Issue: -
ISSN: 2169-3536
Open access status: Compliant
Month of publication: December
Year of publication: 2020
URL: http://eprints.glos.ac.uk/9116/
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): -
Proposed double-weighted: No
Reserve for an output with double weighting: No
Additional information: -
Author contribution statement: -
Non-English: No
English abstract: -