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Nawal Muhammed Almutairi

Assistant Professor

Assistant Professor

علوم الحاسب والمعلومات
المدينة الجامعية للطالبات بالدرعية - 6T86
publication
Journal Article
2020

Secure Third Party Data Clustering Using SecureCL, Φ-Data and Multi-User Order Preserving Encryption.

Almutairi, Nawal . 2020

Secure collaborative data clustering using SecureCL is presented. SecureCL is founded on the concept of Φ-data implemented using Super Secure Chain Distance Matrices and encrypted using Multi-User Order Preserving Encryption. The advantage offered, unlike comparable systems, is that SecureCL does not require any user participation once the Φ-data proxy has been encrypted; it does not require recourse to Secure Multi-Party Computation protocols or “secret sharing” mechanisms. The utility of SecureCL is illustrated using Nearest Neighbour Clustering and DBSCAN, although it can be applied to any data clustering algorithm that involves distance comparison. The reported experiments demonstrate that SecureCL can produce securely cluster configurations comparable to those produced using standard, non-encrypted, approaches without entailing any significant computational overhead, thus indicating its suitability in the context of Data Mining as a Service.

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publications

The paper introduces the Secure kNN (SkNN) approach to data classification and querying. The approach is founded on the concept of Secure Chain Distance Matrices (SCDMs) whereby the classification…

by Nawal Almutairi, Frans Coenen, Keith Dures
2018
publications

With the advances in machine learning techniques and the potency of cloud computing there is an increasing adoption of third party cloud services for outsourcing training and prediction of machine…

2023
publications

To study the variation in emotional responses to stimuli, different methods have been developed to elicit emotions in a replicable way. Using video clips has been shown to be the most effective…

by Nawal Al-Mutairi, Sharifa Alghowinem, Areej Al-Wabil
2015