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12th International Conference on Data science, Technology and Applications, DATA 2023

作者： Toy, Trevor Langerman, Josef Academy of Computer Science and Software Engineering University of Johannesburg Auckland Park Johannesburg South Africa

ISBN: (纸本)9789897586644

Around a quarter of the world’s data is generated by financial institutions. The Capgemini 2022 World Payments Report predicts a 28% increase in transaction volumes from 2021 to 2026, to an estimated total of 2.122 trillion global non-cash transactions. There is a growing demand for accessible transactional data for analytical purposes and to support the rapid global adoption of Open Banking. Open banking is a collaborative business model involving customer-authorised transactional data sharing with other unaffiliated parties to allow for enhanced service and product offerings to the marketplace. This research explores utilising distributed ledger technology to facilitate the market mechanism of securely sharing data through an integrated and decentralised platform that conforms to the expected regulatory and compliance standards of the financial industry from which the data is generated. Scalable and accessible access is a core requirement of a marketplace platform for its data consumers and producers. To enable customer-authorised transactional data sharing, an incentive mechanism is proposed, which includes the data subject in the process to empower them to control access and earn money from the related transactional data that they generate. A proposed framework is defined for the development of a marketplace platform that can ultimately support the growth, prosperity and development of economies, businesses, communities and individuals, by providing accessible and relevant transactional data for big data analytics and open banking. © 2023 by SCITEPRESS–science and Technology Publications, Lda.

关键词： Marketplaces

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A Data Management Model for Malaria Control: A Case of Rwanda 16

A Data Management Model for Malaria Control: A Case of Rwand...

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16th IEEE AFRICON, AFRICON 2023

作者： Mary, Happiness Rose Mukamakuza, Carine Pierrette Tuyishimire, Emmanuel College of Engineering Carnegie Mellon University Africa Kigali Rwanda Academy of Computer Science and Software Engineering University of Johannesburg Johannesburg South Africa

ISBN: (纸本)9798350336214

We are in an era when the diagnosis of diseases benefits greatly from digitizing their control. On the other hand, malaria is a long-standing yet one of the deadliest diseases. Its diagnosis processes still use old mechanisms, even when we have embarked on the Fourth Industrial Revolution. It is, therefore, more important than ever to digitize its control to enhance its diagnosis. This paper studies a digital data management model for malaria control in the context of a typical African country, Rwanda. Existing data management models are revisited, exploited, and contextualized to suit the Rwandan scenario, with the aim of their adoption. The proposed model in this study is the first of its kind for the developing world. © 2023 IEEE.

关键词： Information management

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Committed-programming reductions: formalizations,implications and relations

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science China(Information sciences) 2024年第10期67卷 151-171页

作者： Jiang ZHANG Yu YU Dengguo FENG Shuqin FAN Zhenfeng ZHANG State Key Laboratory of Cryptology Department of Computer Science and Engineering Shanghai Jiao Tong University Trusted Computing and Information Assurance Laboratory Institute of SoftwareChinese Academy of Sciences

In this work, we introduce a class of black-box(BB) reductions called committed-programming reduction(CPRed) in the random oracle model(ROM) and obtain the following interesting results:(1) we demonstrate that some well-known schemes, including the full-domain hash(FDH) signature(Eurocrypt1996) and the Boneh-Franklin identity-based encryption(IBE) scheme(Crypto 2001), are provably secure under CPReds;(2) we prove that a CPRed associated with an instance-extraction algorithm implies a reduction in the quantum ROM(QROM). This unifies several recent results, including the security of the Gentry-Peikert-Vaikuntanathan IBE scheme by Zhandry(Crypto 2012) and the key encapsulation mechanism(KEM) variants using the Fujisaki-Okamoto transform by Jiang et al.(Crypto 2018) in the ***, we show that CPReds are incomparable to non-programming reductions(NPReds) and randomly-programming reductions(RPReds) formalized by Fischlin et al.(Asiacrypt 2010).

关键词： provable security random oracle model quantum random oracle model black-box reduction/separation programmability

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Face Anti-spoofing based on Convolutional Neural Networks 3

Face Anti-spoofing based on Convolutional Neural Networks

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3rd International Conference on Intelligent Data science Technologies and Applications, IDSTA 2022

作者： Maphisa, Siyamdumisa Coulter, Duncan University of Johannesburg Academy of Computer Science and Software Engineering Johannesburg South Africa

ISBN: (数字)9781665499606

ISBN: (纸本)9781665499606

Biometrics technologies have gained increasing attention across different sectors in the past decade. Face recognition has proven to be one of these successful biometric technologies. For example, law enforcement uses face recognition for faster investigations, banks for identity confirmation, and different organisations for access control. However, face recognition has shortcomings regardless of its high successes, just like any biometrics technology. Face recognition technology is still susceptible to face spoofing attacks despite great efforts made by different researchers to combat such attacks. The study proposes an anti-spoofing model based on deep learning methods. Three different pipelines are implemented based on convolutional neural network (CNN) architecture. A hyper tuned baseline CNN, a convolutional neural network based on AlexNet architecture, and a neural network based on VGG16 architecture. The study benchmarked pipelines using the available face anti-spoofing detection datasets - the NUAA and CelebA datasets. The study measures these performance metrics for all the pipelines: accuracy, precision, recall, F1 score, AUC, and Roc curve. All three pipelines provided good results when tested against the selected datasets. © 2022 IEEE.

关键词： Face recognition

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The Alignment between DevOps and Business Outcomes 8

The Alignment between DevOps and Business Outcomes

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8th International Conference on engineering and Emerging Technologies, ICEET 2022

作者： Mukange, Tsumbedzo Langerman, Josef University of Johannesburg Academy of Computer Science and Software Engineering Johannesburg South Africa

ISBN: (纸本)9781665491068

The use of software products to achieve business outcomes increases as demand for reliable and quality services increases. DevOps enables organizations to meet market demands and changing environments through much faster delivery of high-quality and stable software features. The success of DevOps depends on how an organization adopts and practices DevOps. Over the years, the adoption of DevOps has increased, as approaches and models are proposed to smooth the adoption process. However, these approaches and models focus more on software delivery outcomes and less on business outcomes. This qualitative study aims to accelerate the adoption of DevOps, focusing on achieving business outcomes. The study found that DevOps does not solely contribute to business outcomes, but operates with other business success factors from different departments. Three main challenges in aligning DevOps with business outcomes were identified, and recommendations were proposed. Specifically, a conceptual DevOps adoption process was proposed to accelerate the adoption of DevOps to meet market demands and to contribute to achieving business outcomes. The study will assist researchers and practitioners in understanding the adoption of DevOps for better business outcomes. © 2022 IEEE.

关键词： Commerce

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OCRBench: on the hidden mystery of OCR in large multimodal models

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science China(Information sciences) 2024年第12期67卷 23-35页

作者： Yuliang LIU Zhang LI Mingxin HUANG Biao YANG Wenwen YU Chunyuan LI Xu-Cheng YIN Cheng-Lin LIU Lianwen JIN Xiang BAI School of Artificial Intelligence and Automation Huazhong University of Science and Technology School of Electronic and Information Engineering South China University of Technology Microsoft Research School of Computer & Communication Engineering University of Science and Technology Beijing Institute of Automation Chinese Academy of Sciences School of Software Engineering Huazhong University of Science and Technology

Large models have recently played a dominant role in natural language processing and multimodal vision-language learning. However, their effectiveness in text-related visual tasks remains relatively unexplored. In this paper, we conducted a comprehensive evaluation of large multimodal models, such as GPT4V and Gemini, in various text-related visual tasks including text recognition, scene text-centric visual question answering(VQA), document-oriented VQA, key information extraction(KIE), and handwritten mathematical expression recognition(HMER). To facilitate the assessment of optical character recognition(OCR) capabilities in large multimodal models, we propose OCRBench, a comprehensive evaluation benchmark. OCRBench contains 29 datasets, making it the most comprehensive OCR evaluation benchmark available. Furthermore, our study reveals both the strengths and weaknesses of these models, particularly in handling multilingual text, handwritten text, non-semantic text, and mathematical expression *** importantly, the baseline results presented in this study could provide a foundational framework for the conception and assessment of innovative strategies targeted at enhancing zero-shot multimodal *** evaluation pipeline and benchmark are available at https://***/Yuliang-Liu/Multimodal OCR.

关键词： large multimodal model OCR text recognition scene text-centric VQA document-oriented VQA key information extraction handwritten mathematical expression recognition

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Offensive Play Recognition of Basketball Video Footage Using ActionFormer 1

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25th International Conference on Human-computer Interaction , HCII 2023

作者： Chiura, Tafadzwa Blessing van der Haar, Dustin Academy of Computer Science and Software Engineering University of Johannesburg Corner of Kingsway Avenue and University Road Auckland Park Gauteng Johannesburg South Africa

ISBN: (数字)9783031359897

ISBN: (纸本)9783031359880

This paper will aim to conduct 3 experiments to determine the best-performing action recognition approach on the SpaceJam dataset. The 3 experiments are Temporal Segment Network (TSN), Inflated 3D-CNN (I3D) and Pose-estimation (Pose-C3D). TSN and I3D yielded similar results with TSN scoring 54.88% for the mean accuracy, 94.33% for top-5 accuracy and 54.88 top-1 accuracy. And I3D scored 53.07% mean accuracy, 91.65% for top-5 accuracy and 53.07 mean accuracy. When Pose-C3d is run for 240 epochs it achieves better results with a top 1 accuracy and mean-class accuracy of 63.15% and a top-5 accuracy of 95.51. These results indicate that the models can distinguish between similar actions such as running and walking in basketball with relative success. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Sports

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A Cyber Counterintelligence Competence Framework 21

A Cyber Counterintelligence Competence Framework

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21st European Conference on Cyber Warfare and Security, ECCWS 2022

作者： Sithole, Thenjiwe Du Toit, Jaco Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781914587405

The increased use of cyberspace and technological advancement are fundamentally changing the cyber threat landscape. Cyberattacks are becoming more sophisticated, frequent, and destructive. Internationally, there is a growing acceptance that Cyber Counterintelligence (CCI) is essential to counter cyber-attacks optimally. Therefore, in addition to government intelligence and security agencies, more companies are incorporating a CCI approach as a critical element of their posture for engaging cyber threats. However, the successful adoption of a CCI approach depends on the availability of skilled CCI professionals equipped with the requisite competences. The creation of such CCI professionals, in turn, requires a framework for developing the necessary CCI competences. At least in as far as reviewed academic literature is concerned, there is no existing postulation on a framework to develop the CCI competences, specifically for developing countries. Given the complexity and multi-disciplinary nature of the emerging CCI field, such a framework needs to provide two distinctive skillsets linked to CCI’s two distinct areas of expertise, namely cyber (security) and counterintelligence. The paper presents a high-level Cyber Counterintelligence Competence Framework (CCIC Framework) that outlines dimensions of CCI, functional areas, job roles and requisite competences (knowledge, skills, and abilities), and tasks for each CCI job role. The CCI framework also outlines five levels of proficiency expected for each job role. The identification of competences and levels of proficiency are integral to the successful implementation of the framework and workforce development. The CCIC Framework is intended to be used as a tool to retain, assess, and monitor knowledge, skills, and abilities for CCI workforce development. In addition, the CCIC Framework can be used to assist in providing the basis for individual performance management, education, training, and development pathway, as wel

关键词： Cybersecurity

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Route Optimization for Sailing Vessels using Artificial Intelligence Techniques 5

Route Optimization for Sailing Vessels using Artificial Inte...

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5th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2022

作者： Anderson, John M. Sithungu, Siphesihle P. Ehlers, Elizabeth M. Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781450397612

Sailing is not a new concept. The use of artificial intelligence (AI) within the field of sailing however is a relatively new concept. AI is being applied to a variety of different aspects within the field of sailing such as AI plotting unmanned vessels across the globe as well as in the optimization of racing vessels in a variety of prestigious regatta. This paper aims to explore the application of AI to the route creation and plotting aspect of AI in sailing, the objective being to create a system that efficiently assists sailors with their route creation within a complex environment. The approach used is through the creation of a model that uses an adapted A∗(star) search algorithm where the weightings of the heuristic values used better represent the costs associated with the complex environment the algorithm operates in. The environment devised in this paper is a combination of geographical and meteorological data and coordinates to create a semi-dynamic environment in which the system operates. The resulting system successfully creates optimized routes within the semi-dynamic environment devised by the system. © 2022 ACM.

关键词： Artificial intelligence

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Effective Cyber Threat Hunting: Where and how does it fit? 21

Effective Cyber Threat Hunting: Where and how does it fit?

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21st European Conference on Cyber Warfare and Security, ECCWS 2022

作者： Ntingi, Nombeko Duvenage, Petrus du Toit, Jaco von Solms, Sebastian Academy of Computer Science and Software Engineering University of Johannesburg South Africa

ISBN: (纸本)9781914587405

Traditionally threat detection in organisations is reactive through pre-defined and preconfigured rules that are embedded in automated tools such as firewalls, anti-virus software, security information and event management (SIEMs) and intrusion detection systems/intrusion prevention systems (IDS/IPS). As the fourth industrial revolution (4IR) brings with it an exponential increase in technological advances and global interconnectivity, the cyberspace presents security risks and threats the scale of which is unprecedented. These security risks and threats have the potential of exposing confidential information, damaging the reputation of credible organisations and/or inflicting harm. The regular occurrence and complexity of cyber intrusions makes the guarding enterprise and government networks a daunting task. Nation states and businesses need to be ingenious and consider innovative and proactive means of safeguarding their valuable assets. The growth of technological, physical and biological worlds necessitates the adoption of a proactive approach towards safeguarding cyber space. This paper centers on cyber threat hunting (CTH) as one such proactive and important measure that can be adopted. The paper has a central contention that effective CTH cannot be an autonomous ‘plug in’ or a standalone intervention. To be effective CTH has to be synergistically integrated with relevant existing fields and practices. Academic work on such conceptual integration of where CTH fits is scarce. Within the confines of the paper we do not attempt to integrate CTH with many of the various relevant fields and practices. Instead, we limit the scope to postulations on CTH’s interface with two fields of central importance in cyber security, namely Cyber Counterintelligence (CCI) and Cyber Threat Monitoring and Analysis (CTMA). The paper’s corresponding two primary objectives are to position CTH within the broader field of CCI and further contextualise CTH within the CTMA domain. The pos

关键词： Cybersecurity

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