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Low-Modeling of Software Systems
There is a growing need for better development methods and tools to keep up with the increasing complexity of new software systems. New types of user...
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Performance Evaluation of LoRa in a Linear Deployment Scenario
The Internet of Things (IoT) has become an essential daily field. This is mainly because of the advances in digital technologies, miniaturization,...
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Data Balancing Process to Strengthen a Malaria Control Prediction System in Senegal
Malaria is a public health problem in Senegal. Despite the implementation of prevention and treatment programs, the prevalence rate remains high,...
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Convergence of Blockchain Enabled Internet of Things (IoT) Framework: A Survey
Recent research and experiments in the field of Internet of Things (IoT) security have found that these devices are vulnerable to various attacks,...
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Evaluating the Adoption of Enterprise Architecture in Universiti Teknologi MARA, Malaysia
In today’s dynamic landscape, organisations face unprecedented challenges stemming from societal, business, and technological shifts. Amidst this...
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Building a Sustainable Knowledge Management System from Dark Data in Industrial Maintenance
As digitalization exponentially generates vast data volumes, concerns about its environmental impact have surged. Dark data, characterized by being...
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Data-Driven Student Recruitment Strategies in Private Higher Educational Institutions
This research advocates for the integration of data analytics as a pivotal strategy for private higher education institutions (HEI) to navigate the...
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Artificial Intelligence to Elevate Knowledge Management in Malaysian Public Sector: An Overview
Studies show that the capabilities of Artificial Intelligence (AI) significantly elevate Knowledge Management (KM), allowing employees to swiftly...
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Knowledge Management and Web 3.0
It is commonly believed that information technologies (IT) play essential role in implementing knowledge management in organizations (Franco and...
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Optimally-Fair Multi-party Exchange Without Trusted Parties
We present a multi-party exchange protocol that achieves optimal partial fairness even in the presence of a dishonest majority. We demonstrate how...
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Fully Tally-Hiding Verifiable E-Voting for Real-World Elections with Seat-Allocations
Modern e-voting systems provide what is called verifiability, i.e., voters are able to check that their votes have actually been counted despite...
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Arithmetic Circuit Implementations of S-boxes for SKINNY and PHOTON in MPC
Secure multi-party computation (MPC) enables multiple distrusting parties to compute a function while kee** their respective inputs private. In a...
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Scaling Mobile Private Contact Discovery to Billions of Users
Mobile contact discovery is a convenience feature of messengers such as WhatsApp or Telegram that helps users to identify which of their existing...
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Code-Based Secret Handshake Scheme, Revisited
Secret handshake (SH) allows two users to authenticate each other anonymously only when they are in the same group. Recently, due to the concern of...
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Cheap and Fast Iterative Matrix Inverse in Encrypted Domain
Homomorphic encryption (HE) is a promising technique for preserving the privacy of sensitive data by enabling computations to be performed on...
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Deniable Cryptosystems: Simpler Constructions and Achieving Leakage Resilience
Deniable encryption (Canetti et al. in CRYPTO ’97) is an intriguing primitive, which provides security guarantee against coercion by allowing a...
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Covercrypt: An Efficient Early-Abort KEM for Hidden Access Policies with Traceability from the DDH and LWE
Attribute-Based Encryption (ABE) is a very attractive primitive to limit access according to specific rights. While very powerful instantiations have...
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Sugarcane Bud Detection Using YOLOv5
This paper addresses the labor-intensive and wasteful nature of the traditional sugarcane bud cutting method. To overcome these challenges, the...
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Framework for Upscaling Missing Data in Electricity Consumption Datasets Using Generative Adversarial Networks
One of the leading issues in adopting electricity load prediction today is the lack of high-quality and high-resolution real-world datasets. This...
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Intelligent Urban Cycling Assistance Based on Simplified Machine Learning
Urban cycling is a sustainable mode of transportation in large cities, and it offers many advantages. It is an eco-friendly means of transport that...