242 citations · 868 across the 10 of their papers we have counts for
11 papers
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence
Veronika Stephanie, Ibrahim Khalil, Mohammad Saidur Rahman +1
We propose a privacy-preserving ensemble infused enhanced Deep Neural Network (DNN) based learning framework in this paper for Internet-of-Things (IoT), edge, and cloud convergence…
Chaos and Logistic Map based Key Generation Technique for AES-driven IoT Security
Ziaur Rahman, Xun Yi, Ibrahim Khalil +1
Several efforts have been seen claiming the lightweight block ciphers as a necessarily suitable substitute in securing the Internet of Things. Currently, it has been able to envisa…
Blockchain-based Security Framework for Critical Industry 4.0 Cyber-physical System
Ziaur Rahman, Ibrahim Khalil, Xun Yi +1
There has been an intense concern for security alternatives because of the recent rise of cyber attacks, mainly targeting critical systems such as industry, medical, or energy ecos…
Social Media Identity Deception Detection: A Survey
Ahmed Alharbi, Hai Dong, Xun Yi +2
Social media have been growing rapidly and become essential elements of many people's lives. Meanwhile, social media have also come to be a popular source for identity deception. M…
PPaaS: Privacy Preservation as a Service
Pathum Chamikara Mahawaga Arachchige, Peter Bertok, Ibrahim Khalil +2
Personally identifiable information (PII) can find its way into cyberspace through various channels, and many potential sources can leak such information. Data sharing (e.g. cross-…
Privacy Preserving Face Recognition Utilizing Differential Privacy
M. A. P. Chamikara, P. Bertok, I. Khalil +2
Facial recognition technologies are implemented in many areas, including but not limited to, citizen surveillance, crime control, activity monitoring, and facial expression evaluat…
Privacy Preserving Distributed Machine Learning with Federated Learning
M. A. P. Chamikara, P. Bertok, I. Khalil +2
Edge computing and distributed machine learning have advanced to a level that can revolutionize a particular organization. Distributed devices such as the Internet of Things (IoT)…
Local Differential Privacy for Deep Learning
M. A. P. Chamikara, P. Bertok, I. Khalil +3
The internet of things (IoT) is transforming major industries including but not limited to healthcare, agriculture, finance, energy, and transportation. IoT platforms are continual…
An Efficient and Scalable Privacy Preserving Algorithm for Big Data and Data Streams
M. A. P. Chamikara, P. Bertok, D. Liu +2
A vast amount of valuable data is produced and is becoming available for analysis as a result of advancements in smart cyber-physical systems. The data comes from various sources,…
Efficient privacy preservation of big data for accurate data mining
M. A. P. Chamikara, P. Bertok, D. Liu +2
Computing technologies pervade physical spaces and human lives, and produce a vast amount of data that is available for analysis. However, there is a growing concern that potential…
Efficient Data Perturbation for Privacy Preserving and Accurate Data Stream Mining
M. A. P. Chamikara, P. Bertok, D. Liu +2
The widespread use of the Internet of Things (IoT) has raised many concerns, including the protection of private information. Existing privacy preservation methods cannot provide a…