All articles
113 articles
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Document Leak Prevention and Secure Printing Through Cloud Technology
Abstract: The project aims are to improve the security of print centers through the utilization of cloud technology. The implementation includes EC2 instances for serving as virtual computers, Elastic File Storage as dedicated to secure file storage, AWS Key Management System for key management ensuring security, Virtual Private Cloud for creating a private network, IAM users enabling controlled access, and Transport Layer Security facilitating secure communication .This approach prevents leaks and …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Intrusion Detection System Using Gated Recurrent Neural Network
Abstract: In the realm of cybersecurity, the constant evolution of threats demands sophisticated intrusion detection systems (IDSs) capable of discerning intricate patterns in network traffic. This study proposes an IDS leveraging the capabilities of gated recurrent neural networks (GRNNs) to enhance the detection of anomalies and potential security breaches. The GRNN architecture, employing mechanisms like long short-term memory (LSTM) and gated recurrent unit (GRU), demonstrates efficacy in capturing long-range dependencies within …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 1–8 Read article
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article
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Certificate Issuing and Verification Application Using Blockchain
Abstract: With roughly a million students graduating each year, both those seeking further education and those entering the workforce rely on verifiable certificates. However, traditional paper certificates are vulnerable to counterfeiting, leading to frequent forgeries. To address this concern, this paper proposes a secure and reliable system utilizing blockchain technology for issuing digital certificates. This system creates tamper-proof digital certificates by calculating unique hash values for each electronic certificate and storing …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 21–28 Read article
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Transforming Healthcare Through Cloud Computing
Abstract: The dynamic evolution and progression of cloud computing technology have ushered in a paradigm shift within the healthcare sector, ushering in a multitude of advantages and reshaping the landscape of healthcare service delivery. Cloud computing stands out as a pivotal facilitator for healthcare entities, furnishing them with the flexibility, scalability, and cost-effectiveness required to navigate the ever-expanding demands of contemporary healthcare. Cloud computing in healthcare reduces the necessity for substantial …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 34–43 Read article
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The Life-changing Impact of Mental Health Trackers
Abstract: This study explores the revolutionary potential of mental health trackers, which are cutting-edge digital technologies that have become essential in tackling the many issues surrounding psychological well-being in modern times. This study article delves into the various typologies and technological breakthroughs of mental health trackers, emphasizing their ability to empower people from all walks of life to actively monitor and nurture their mental health. The research results emphasize how mental …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 29–33 Read article
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Support Vector Machine-based Flower Image Classification for Commercial Applications
Abstract: Flowers are crucial raw materials in many industries, including pharmaceuticals and cosmetics. Classifying flowers manually is time-consuming, inconsistent, and requires professional judgment from a botanist. Computer-aided flower classification is a promising approach to this problem. Image classification often employs support vector machines (SVMs) as widely favored algorithms. This study evaluated the performance of SVMs for flower image classification. The results showed that SVMs can achieve good accuracy on this task, …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 44–53 Read article
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A Study on Supervised Machine Learning-based Airports/Flight Delay Analysis and Classification
Abstract: Airline delays are a major cause of the financial losses that plague the global aviation business. Airports, airlines, and passengers all suffer when flights are delayed. Their forecast is vital to the commercial aviation industry's decision-making process. Flight presents a significant obstacle for the aviation sector. Increased air traffic and subsequent flight delays are a direct result of the aviation industry's rapid growth over the past two decades. The economic …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 20–36 Read article
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A Study of Application of No Regret Learning Algorithm for Development of a Career Counselling Software
Abstract: This paper explores the application of “no regret learning algorithms” in the development of a career counselling software, aimed at providing individuals with personalized and data-driven career guidance. By harnessing the power of machine learning methods, this groundbreaking approach provides a flexible and responsive system designed to aid users in making well-informed choices regarding their career trajectories. The software incorporates user profiling, reward modelling, continuous feedback mechanisms, and ethical considerations …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 37–43 Read article
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A Comprehensive Analysis of Context-aware Recommender Systems Implemented Across a Range of Domains
Abstract: In many different fields, recommender systems are essential for helping users find pertinent and personalized material. Traditional recommender systems often underestimate the impact of contextual factors on user preferences. Context-aware recommender systems are a potential method that uses dynamic contextual data to increase recommendation accuracy and user satisfaction. This review paper examines the benefits of context-aware recommender systems in many fields and offers a detailed analysis of these systems. We …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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A Secured Distributed Database System Using Rijndael Encryption Algorithm
Abstract: There is a pressing need to secure distributed database system in order to address effectively some challenges, such as, no encryption of users’ access details in the database, which could be hacked by skilled hands, and also the security of the data is highly and threateningly compromised when using data encryption standard (DES) algorithm. This is because it has weak or semi-weak keys, inability of DES algorithm to eliminate the …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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Detection of Phishing Sites Using Machine Learning
Abstract: The content of phishing websites and online-based material provides a variety of indicators. One of the criminal attacks that are successful in the online world is phishing sites that direct users to a phishing website that looks and acts like a legitimate website in order to steal the victim's personal and sensitive information. The Extreme Learning Machine-based version that was suggested was excellent at spotting phishing websites. Internet page types …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 33–39 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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Analysis of Road Lane Detection Using Computer Vision
Abstract: Today’s technological advancement brings an opportunity to automate all the essential processes. Driving is one of the challenging tasks. The rapid growth of image processing technologies allows us to achieve an automatic driving system without human intervention. Numerous researchers are working on the development of algorithms for the automation of road lane detection during the self-driving car. This study presents an algorithm which can detect road lanes and the upcoming …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 7–14 Read article
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Health Management System Using Researched Application of Big Data
Abstract: As everyone knows many developing as well as developed countries even poor countries healthcare demand is growing at an extensive rate. As like all other countries, healthcare in India is also facing the growing demand of medical treatment and services; as demand of healthcare and medical treatments increases, parallelly the volume of medical records increases; they must appropriately have all of the patient’s medical history. Management has to maintain proper …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 1–6 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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Breakout Room Escape: Design and Development of an Immersive Unity Game
Abstract: Three-dimensional (3D) game development is a complex and challenging process that requires expertise in various fields, including programming, art, and design. Due to its adaptability, userfriendly interface, and thorough documentation, Unity is a well-known game engine that is frequently used in the game development industry. This research paper aims to explore the process of developing a 3D game using Unity, focusing on the technical aspects of game development and the …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 20–30 Read article
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Agile Hybrid Education System: Adaptable, Innovative, and Effective
Abstract: The proposed hybrid learning management system (LMS) aims to provide an automated system for the manual processes by utilizing computerized equipment and software, which can effectively store and manage valuable data for an extended period of time, with easy accessibility and manipulation. This system can ensure error-free, secure, reliable, and fast management, allowing users to focus on other activities instead of record-keeping. As a result, businesses are able to maintain …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 13–19 Read article
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Progresses in Network Safety Worldview: A Survey
Abstract: This survey paper examines the different cautious models and mechanisms utilized so far in network safety. Digital protection is an exceptionally delicate issue, where advances are coordinated step by step. To effectively manage sophisticated attackers, it is necessary to cultivate strengths in the form of a cautious approach to the rapidly evolving landscape of malware and other attack methods. Specifically, digitization and data framework started a fight for strength on …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 31–38 Read article