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1st International Conference on Cognitive, Green and Ubiquitous Computing, IC-CGU 2024

作者： Jayasingh, Suvendra Kumar Naik, Pintu Swain, Satyaprakash Patra, Kumar Janardan Kabat, Manas Ranjan Institute of Management and Information Technology BPUT Department of Computer Science and Engineering Odisha Cuttack India Indian Institute of Technology Department of Computer Science and Engineering Jammu India

ISBN: (纸本)9798350361780

Real-time crowd monitoring plays a pivotal role in effectively managing public spaces and ensuring safety. This study investigates the fusion of IoT devices and the YOLO object detection model to accurately count crowds. IoT devices facilitate the instantaneous collection of data from cameras, while the YOLO model adeptly identifies individuals within recorded video frames. The study rigorously assesses the performance of three YOLO variants: YOLO V5, YOLO V8 and YOLO V8 NAS. Findings reveal that YOLO V8 NAS surpasses YOLO V5 and YOLO V8 in mean average precision (mAP), achieving an exceptional mAP of 95.1%. This heightened precision is attributed to the integration of Neural Architecture Search (NAS) into the YOLO V8 NAS model, fine-tuning its architecture specifically for crowd counting tasks. It analyzes various networking models proposed in earlier studies for analyzing crowded scenes in public spaces. It emphasizes the potential of a hybrid model involving an IP camera module and a Deep Neural Network for effective crowd sensing. In this setup, the IP camera captures video footage, while the DNN detects individuals and assesses crowd density based on the count of people recognized. This approach presents an encouraging solution for real-time crowd monitoring and management in public environments. © 2024 IEEE.

关键词： Face recognition

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The Future of Online Shopping: Blockchain- Powered E-Commerce Platforms

The Future of Online Shopping: Blockchain- Powered E-Commerc...

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2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2024

作者： Kiran, Ajmeera Sri, Nemani Divya Ayyasamy, Ramesh Kumar Chinnasamy, P. Vellanki, Sreelakshmi Vujwala, Maddula MLR Institute of Technology Department of Computer Science and Engineering Hyderabad India Faculty of Information and Communication Technology Kampar Malaysia School of Computing Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu India

ISBN: (纸本)9798331540685

A cutting-edge online marketplace that uses blockchain technology to transform how we purchase and sell goods and services is known as a blockchain- powered e-commerce platform. This platform uses a decentralized network of computers, also known as nodes, to maintain a transparent and impenetrable record of all transactions instead of depending on a central authority like a bank or a company. A blockchain-based e-commerce platform is a secure, transparent, and trusted online marketplace. It does away with the need for intermediaries, improves security, and provides a world market where users can confidently conduct peer-to-peer transactions. This novel strategy could change how online commerce and shopping are performed. © 2024 IEEE.

关键词： Marketplaces

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An approach to on-stream DDoS blitz detection using machine learning algorithms

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Materials Today: Proceedings 2023年 80卷 3492-3499页

作者： Manjula, H.T. Neha Mangla Atria Institute Of Technology Bengaluru India Department Of Computer Science & Engineering CMRIT Bengaluru India Department of Information Science & Engineering Atria Institute of Technology Bengaluru India

Distributed Denial of service (DDoS) attacks is an enormous threat to today's cyber world, cyber networks are compromised by the attackers to distribute attacks in a large volume by denying the service to legitimate users. The toughest and challenging task in today's network and network security engineers is to identify compromised traffic (attacked) and legitimate (normal) traffic. The main goal of the paper is to detect DDos attacks using classification algorithms. To achieve the goal the proposed system uses attacking tool to initiate attacks using Loic attacking tool with the data set extracted from open source tool Wireshark and transferring the dataset to apache Spark for detection analysis. The system also uses Apache spark machine learning algorithms (MLib), classification algorithms to classify the dataset. We use Naive Bayes, KNN and Random forest classification algorithms to classify normal traffic and attacked traffic. Our system is capable of detecting attacks with respect to any traffic protocols ICMP, TCP, or UDP. The accuracy of detection is compared on three classification algorithms and noted that random forest gives the accuracy of 96.75%. © 2021

关键词： Denial-of-service attack

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Towards Incorporating Computational Thinking Skills Across the Curriculum 54

Towards Incorporating Computational Thinking Skills Across t...

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54th IEEE Frontiers in Education Conference, FIE 2024

作者： Demarco, Donna Frye, Lisa Schwesinger, Dylan Kutztown University Computer Science and Information Technology Department Kutztown United States

ISBN: (纸本)9798350351507

This research-to-practice full paper describes K-12 Diversity and Broadening Participation through the integration of Computational Thinking (CT) across the curriculum. CT is implicit within the current high school curriculum and used by teachers and students every day in their classrooms across multiple content areas. Most students are unaware they are using these skills and that these skills are the foundation of learning computer science. Over a series of workshops, high school teachers and students, and university faculty discussed the need to incorporate CT skills throughout the high school curriculum to improve those skills in students and to impart a better understanding of computer science. The result was a guide created to assist high school teachers to make CT concepts explicit in their classes. A main component of the guide includes specific examples of how to incorporate CT skills in various content areas. The guide was created on a foundation of cultural relevance and cogenerative dialogues. Here we describe salient points about the creation of the guide and insights gained during these workshops. © 2024 IEEE.

关键词： Students

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Review of National Cybersecurity Policies: A Case Study on Asian Countries 1

Review of National Cybersecurity Policies: A Case Study on A...

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1st IEEE Karachi Section Humanitarian technology Conference, Khi-HTC 2024

作者： Noor, Hera Seelro, Dodo Khan Ali, Syed Abbas NED University of Engineering & Technology Department of Computer Information System Engineering Karachi Pakistan Thar Institute of Engineering Science & Technology NED University of Engineering & Technology Karachi Pakistan

ISBN: (纸本)9798350373042

Accelerating the economic advantages of ICT is one of the finest methods for any nation to boost its economy. Due to the unique topography, governing laws, and cultural traditions of each nation, these colossal challenges must be confronted in each country. This comparative analysis aims to examine these aspects in further detail. To achieve the objectives of this study, research was conducted by collecting and analysing data from publicly accessible sources. This research compares Pakistan and other Asian countries' cybersecurity legislation, regulations, CERTs (national computer emergency response teams), CIIPs (computer intrusion prevention programs), and cyber security training and awareness. Among forty-eight Asian countries, the study focus on comparative analysis of major neighboring (developed or developing) countries of Pakistan such as Japan, China, Turkey, Iraq, Saudi Arabia, UAE, Nepal, Iran, Malaysia, Jordan, India, and Bangladesh. Cyber security has not been a major concern in Pakistan for a very long time, perhaps due to the way the government operates and how slowly it adapts to new technology. Many Asian countries have only ever released one version of their national cyber security plan, whilst Pakistan has never released anything;some other Asian countries are also added in this group. © 2024 IEEE.

关键词： Cybersecurity

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Analysis of Privacy, Security, and Trust in the Internet of Things (IoT) Ecosystem

Analysis of Privacy, Security, and Trust in the Internet of ...

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2024 International Symposium on Networks, computers and Communications, ISNCC 2024

作者： Girma, Anteneh Searcy, Antione Barrett, Adine University of the District of Columbia Department of Computer Science and Information Technology United States

ISBN: (纸本)9798350364910

In the wake of rapidly increasing connectivity and social acceptance of IoT devices, understanding the privacy, secu-rity, and trust dimensions of IoT is instrumental in shaping how connected technologies are applied. IoT is steadily revolutionizing different aspects of society. However, relying on a centralized third-party sharing platform inevitably leads to higher fees, lack of trust, and governance issues for both users and service providers, and creates an inherent bias and fraud in the system (Islam & Kundu, 2020). Despite the prevalence of challenges linked to the continuous leasing of IoT architectures, existing studies have not explored the privacy, security, and trust issues that such architectures present to users. In a sharing economy, privacy is secondary liberty because stakeholders are utilizing connected devices to conduct surveillance and violate the privacy rights of individuals. As such, the current research seeks to demonstrate the extent of security, trust, and privacy concerns in IoT, including demonstrating how these threats can be mitigated. It also revealed that a combination of security and privacy challenges as well as the user's perception of connected devices contribute to trust issues when using IoT. The research looks at How the application of IoT in different domains (domestic and industrial contexts) increased security, trust, and privacy concerns among users? © 2024 IEEE.

关键词： Differential privacy

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Toward Addressing the Software Architecture Blind Spot of information system Success Factors in the Public Health Domain 44

Toward Addressing the Software Architecture Blind Spot of In...

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44th International Conference on information systems: Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies, ICIS 2023

作者： Dang, Anthony Beydoun, Ghassan School of Computer Science Faculty of Engineering and Information Technology University of Technology Sydney Australia

ISBN: (纸本)9781713893622

Context: In the public health domain, there is no shortage of failed information systems projects. In addition to overblown budgets and elapsed deadlines (ad nauseam), technical issues exist. These include poor usability, instability, system performance, and data inconsistency issues. The issues relate to Software Engineering, and specifically Software Architecture. The role of Software Architecture underpins these issues. However, the enquiries and analyses of these failed information systems projects have focused on the perspective of stakeholders (e.g., government ministers and health practitioners) and project managers. While stakeholders provide input into project requirements and goals, the project failure or success does not emanate from these roles exclusively. For example, system instability is not specifically a stakeholder issue but rather a Software Architecture concern. Aim: To bring to bear and address public sector health information system failure from the Software Architecture perspective. Method: A literature survey was conducted to ascertain the perceived failure and success factors within the public health domain. Results: We observed that the available literature on health information systems appears to lack success factors which have been noted in the Software Engineering and Software Architecture literature. Software Architecture appears to be an understudied area within the public health domain. Contribution: To bring awareness to the public health domain that the information system's success requires multi-faceted perspectives and actions. Specifically, perspectives and actions involving Software Architects and Software Engineers are required to successfully address the quality attributes of the proposed systems during development. Copyright © 2023 Anthony Dang and Ghassan Beydoun.

关键词： Software architecture

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AnyComputing: A Novel Architecture for Orchestrating Various Computing Paradigms for Adaptive Workload Management 21

AnyComputing: A Novel Architecture for Orchestrating Various...

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21st International Conference on Electrical Engineering, Computing science and Automatic Control, CCE 2024

作者： Taghizadeh, Seyedreza Yousefi, Sara Engineering and Information Technology Shiraz University Department of Computer Science Shiraz Iran

ISBN: (纸本)9798350377545

The proliferation of physical objects and intelligent systems, along with their inherent differences, such as levels of device mobility, generated data volume, required storage memory, and complexity in data processing, presents a significant challenge in achieving real-Time and optimal responsiveness to the Massive volume of sent requests from these systems. Depending on the nature of each request and its requirements, effective processing must be by available and suitable computational platforms. This situation necessitates the urgent development of novel ideas and frameworks in request orchestration and processing by suitable computational platforms to enhance system performance and efficiently utilize available computational resources. In this article, we propose an integrated computational architecture spanning from edge devices of users and intelligent things to cloud servers. This design encompasses the reception, processing, and response to various computational and storage requests, considering specific requirements, through computational units deployed within this span. Our objective in devising this architecture is to establish mechanisms for categorizing diverse computational requests from users and things, effectively allocating resources to them, thereby reducing response time, optimizing bandwidth utilization and other available resources, managing latency for real-Time requests, and minimizing energy consumption in user devices and intelligent objects. © 2024 IEEE.

关键词： Memory management units

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Fog Computing - Desktop Review 4

Fog Computing - Desktop Review

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4th International Multidisciplinary information technology and Engineering Conference, IMITEC 2024

作者： Sithole, Sicelo Prince Sonhera, Naume Zuva, Tranos Vaal University of Technology Faculty of Applied and Computer Sciences Department of Computer Science Vanderbijlpark South Africa

ISBN: (纸本)9798350387988

Fog computing is an innovative approach that brings cloud computing capabilities to the edge of the network, and it has great potential for enterprises looking to improve real-time data processing and lower latency. However, the adoption of fog computing in organizations remains relatively unexplored. This review paper aims to investigate the factors influencing fog computing adoption in organizations. Through a systematic review of existing literature, case studies, and expert opinions, this paper identifies and analyses the unique adoption factors. The review examines challenges, characteristics, benefits, and Open Fog Computing Issues with the Internet of Things (IoT), shaping fog computing adoption decisions in organizations across various industries. This analysis highlights fog computing advantages over traditional cloud computing approaches, such as low latency, improved data privacy, and enhanced scalability. Furthermore, this review investigates the challenges hindering the adoption of fog computing, including security concerns, implementation complexity, connectivity, and lack of awareness, as well as open fog computing issues with IoT. Key findings indicate that while fog computing can offer low-latency solutions, organizations face considerable challenges, including security risks, implementation complexity, and a lack of skilled personnel. By synthesizing and analysing the findings, this paper provides valuable insights for decision-makers, researchers, and policymakers seeking to promote and facilitate fog computing adoption. © 2024 IEEE.

关键词： Fog computing

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Integrating Trustworthy Mechanisms to Support Data and information Security in Health Sensors

Integrating Trustworthy Mechanisms to Support Data and Infor...

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2023 International Conference on Industry sciences and computer science Innovation, iSCSi 2023

作者： Al-Zubaidie, Mishall Muhajjar, Raad A. Department of Computer Sciences Education College for Pure Sciences University of Thi-Qar Nasiriyah64001 Iraq Department of Computer Science Faculty of Computer Science and Information Technology University of Basrah Basrah61004 Iraq

An important reason to protect provider and medical care patient information and data is digital terrorism. Patient health records and healthcare provider information are sensitive issues that can affect patients' health or even national security. Many frequent attacks have carried out breaches on health databases/data sets continuously and on remote servers and local servers with wireless sensor networks (WSNs) in different places. Various modern approaches addressed this issue and were designed to prevent these attacks with the aim of providing the security of patient information and data transmitted and collected by WSNs. However, there are still several signs of weakness in these approaches, which are described in the literature review. This research proposes a new trustworthy approach that supports the provision of data security and information collected by WSN and stored on basestation databases. This approach takes advantage of the integration of several security mechanisms including symmetric cryptography for encryption, asymmetric cryptography for signature and access control, as well as the implementation of the Lesamnta-LW function in the signature mechanism. Solid methodology and careful use of these mechanisms protect and hide users' information from being exposed to attackers. Security analyses, investigative comparisons and rigorous findings indicate that the proposed approach is superior to previous approaches. © 2024 The Authors. Published by ELSEVIER B.V.

关键词： Terrorism

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