Rozita Dara

Orcid: 0000-0002-3728-0275

Affiliations:
  • University of Guelph, School of Computer Science, ON, Canada


According to our database1, Rozita Dara authored at least 50 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
A federated and explainable approach for insider threat detection in IoT.
Internet Things, December, 2023

SIDS: A federated learning approach for intrusion detection in IoT using Social Internet of Things.
Comput. Networks, November, 2023

Farmer-centric design thinking principles for smart farming technologies.
Internet Things, October, 2023

A Review of Social Media Data Utilization for the Prediction of Disease Outbreaks and Understanding Public Perception.
Big Data Cogn. Comput., 2023

A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle.
IEEE Access, 2023

2022
LBTM: A lightweight blockchain-based trust management system for social internet of things.
J. Supercomput., 2022

Is the Internet of Things a helpful employee? An exploratory study of discourses of Canadian farmers.
Internet Things, 2022

Recommendations for ethical and responsible use of artificial intelligence in digital agriculture.
Frontiers Artif. Intell., 2022

A Semantic-based Approach to Reduce the Reading Time of Privacy Policies.
Proceedings of the 19th Annual International Conference on Privacy, Security & Trust, 2022

Content Analysis of Privacy Policies Before and After GDPR.
Proceedings of the 19th Annual International Conference on Privacy, Security & Trust, 2022

On the Impact of Deep Learning and Feature Extraction for Arabic Audio Classification and Speaker Identification.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2021
Improving Readability of Online Privacy Policies through DOOP: A Domain Ontology for Online Privacy.
Digit., December, 2021

One Health Informatics and the stewardship of complex systems.
Proceedings of the IEEE International Symposium on Technology and Society, 2021

Automated generation of privacy policy using deep models.
Proceedings of the IEEE International Symposium on Technology and Society, 2021

A review of data governance challenges in smart farming and potential solutions.
Proceedings of the IEEE International Symposium on Technology and Society, 2021

2020
A survey of machine learning-based solutions to protect privacy in the Internet of Things.
Comput. Secur., 2020

Smart poultry management: Smart sensors, big data, and the internet of things.
Comput. Electron. Agric., 2020

Blockchain-based Trust Management in Social Internet of Things.
Proceedings of the IEEE Intl Conf on Dependable, 2020

Widely Reused and Shared, Infrequently Updated, and Sometimes Inherited: A Holistic View of PIN Authentication in Digital Lives and Beyond.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019
Using Convolutional Neural Networks to Extract Keywords and Keyphrases: A Case Study for Foodborne Illnesses.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Convolutional Classification of Pathogenicity in H5 Avian Influenza Strains.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Impact of In-domain Vector Representations on the Classification of Disease-related Tweets: Avian Influenza Case Study.
Proceedings of the ACM Symposium on Document Engineering 2019, 2019

2018
A comprehensive keyword analysis of online privacy policies.
Inf. Secur. J. A Glob. Perspect., 2018

Network intrusion detection system based on recursive feature addition and bigram technique.
Comput. Secur., 2018

Privacy Policy Annotation for Semi-automated Analysis: A Cost-Effective Approach.
Proceedings of the Trust Management XII - 12th IFIP WG 11.11 International Conference, 2018

Information Disclosure, Security, and Data Quality.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Sentiment Classification of Short Texts - Movie Review Case Study.
Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

Region-Based Convolutional Networks for End-to-End Detection of Agricultural Mushrooms.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018

2017
An improved differential privacy algorithm to protect re-identification of data.
Proceedings of the IEEE Canada International Humanitarian Technology Conference, 2017

An Improved Data Sanitization Algorithm for Privacy Preserving Medical Data Publishing.
Proceedings of the Advances in Artificial Intelligence, 2017

2016
Extracting keyword and keyphrase from online privacy policies.
Proceedings of the Eleventh International Conference on Digital Information Management, 2016

A Novel Differential Privacy Approach that Enhances Classification Accuracy.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

2015
A Machine-Learning Based Approach for Measuring the Completeness of Online Privacy Policies.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Empowering users through privacy management recommender systems.
Proceedings of the 2014 IEEE Canada International Humanitarian Technology Conference, 2014

Open data offers open opportunities: A case study on improving aid management.
Proceedings of the 2014 IEEE Canada International Humanitarian Technology Conference, 2014

An Accurate, Fast Embedded Feature Selection for SVMs.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Recommender Systems for Privacy Management: A Framework.
Proceedings of the 15th International IEEE Symposium on High-Assurance Systems Engineering, 2014

2011
A Practical Ontology-driven Workflow Composition Framework.
Proceedings of the KEOD 2011, 2011

Prioritizing Requirements-Based Regression Test Cases: A Goal-Driven Practice.
Proceedings of the 15th European Conference on Software Maintenance and Reengineering, 2011

2010
Filter-Based Data Partitioning for Training Multiple Classifier Systems.
IEEE Trans. Knowl. Data Eng., 2010

2009
Data dependency in multiple classifier systems.
Pattern Recognit., 2009

Using dynamic execution data to generate test cases.
Proceedings of the 25th IEEE International Conference on Software Maintenance (ICSM 2009), 2009

2007
Cooperative Training in Multiple Classifier Systems.
PhD thesis, 2007

2006
Adaptive fusion and co-operative training for classifier ensembles.
Pattern Recognit., 2006

On poem recognition.
Pattern Anal. Appl., 2006

A semi-supervised approach to customer relationship management.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Data Partitioning Evaluation Measures for Classifier Ensembles.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

2004
An information-theoretic measure to evaluate data partitions in multiple classifiers.
Proceedings of the IEEE International Conference on Systems, 2004

Effect of sharing training patterns on the performance of classifier ensemble.
Proceedings of the IEEE International Conference on Systems, 2004

Sharing Training Patterns among Multiple Classifiers.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004


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