Zobrazeno 1 - 10
of 282
pro vyhledávání: '"PERERA, CHARITH"'
Despite the recent broad adoption of Large Language Models (LLMs) across various domains, their potential for enriching information systems in extracting and exploring Linked Data (LD) and Resource Description Framework (RDF) triplestores has not bee
Externí odkaz:
http://arxiv.org/abs/2409.16220
The Internet of Things (IoT) devices, such as smart speakers can collect sensitive user data, necessitating the need for users to manage their privacy preferences. However, configuring these preferences presents users with multiple challenges. Existi
Externí odkaz:
http://arxiv.org/abs/2406.05459
Autor:
Muhander, Bayan Al, Arachchilage, Nalin, Majib, Yasar, Alosaimi, Mohammed, Rana, Omer, Perera, Charith
People are increasingly bringing Internet of Things (IoT) devices into their homes without understanding how their data is gathered, processed, and used. We describe PrivacyCube, a novel data physicalization designed to increase privacy awareness wit
Externí odkaz:
http://arxiv.org/abs/2406.05451
Consumers increasingly bring IoT devices into their living spaces without understanding how their data is collected, processed, and used. We present PrivacyCube, a novel tangible device designed to explore the extent to which privacy awareness in sma
Externí odkaz:
http://arxiv.org/abs/2210.02650
By using low-cost microcontrollers and TinyML, we investigate the feasibility of detecting potential early warning signs of domestic violence and other anti-social behaviors within the home. We created a machine learning model to determine if a door
Externí odkaz:
http://arxiv.org/abs/2210.02642
This paper presents ForestQB, a SPARQL query builder, to assist Bioscience and Wildlife Researchers in accessing Linked-Data. As they are unfamiliar with the Semantic Web and the data ontologies, ForestQB aims to empower them to benefit from using Li
Externí odkaz:
http://arxiv.org/abs/2210.02640
Internet of Things (IoT) applications have the potential to derive sensitive information about individuals. Therefore, developers must exercise due diligence to make sure that data are managed according to the privacy regulations and data protection
Externí odkaz:
http://arxiv.org/abs/2210.03520
Designing Internet of things (IoT) applications (apps) is challenging due to the heterogeneous nature of the systems on which these apps are deployed. Personal data, often classified as sensitive, may be collected and analysed by IoT apps, where data
Externí odkaz:
http://arxiv.org/abs/2210.01853
Autor:
Majib, Yasar, Barhamgi, Mahmoud, Heravi, Behzad Momahed, Kariyawasam, Sharadha, Perera, Charith
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing (2022)
Detecting anomalies at the time of happening is vital in environments like buildings and homes to identify potential cyber-attacks. This paper discussed the various mechanisms to detect anomalies as soon as they occur. We shed light on crucial consid
Externí odkaz:
http://arxiv.org/abs/2210.01840
Publikováno v:
Future Generation Computer Systems, Volume 138, January 2023, Pages 280-295
As Internet of Things (IoT) technologies become more widespread in everyday life, privacy issues are becoming more prominent. The aim of this research is to develop a personal assistant that can answer software engineers' questions about Privacy by D
Externí odkaz:
http://arxiv.org/abs/2210.01778