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Cloud-based Data Protection: A Framework for Authorizing Data Movement 4

Cloud-based Data Protection: A Framework for Authorizing Dat...

引用

4th International conference on Expert Clouds and applications, ICOECA 2024

作者： Khan, Mohammad Zunnun Nisa, Khair Ul Quasim, Mohammad Tabrez Khalifa, Mahmoud Abdelgadir Mobarak, Mohammad Mufareh College of Computing & Information Technology University of Bisha Bisha Saudi Arabia INTI International University Malaysia

ISBN: (纸本)9798350385793

As organizations increasingly migrate their data operations to cloud environments and harness the power of big data analytics, ensuring the security and privacy of data in motion becomes paramount. This research study outlines a comprehensive cloud authorisation framework explicitly designed to address the unique challenges posed by the dynamic nature of big data processing in cloud environments. The proposed prototype / framework integrates advanced authentication and authorisation mechanisms tailored to the characteristics of big data systems, including distributed processing, heterogeneous data sources, and diverse user access patterns. Leveraging scalable cloud infrastructure and advanced cryptographic techniques, the framework ensures granular access control and data protection throughout the data lifecycle. Designing a comprehensive Cloud Authorization Framework for Data in Motion within Big Data entails addressing numerous key components and considerations. A broad framework design is shown in this research study. It includes mechanisms for authentication and authorisation, multi-tenancy management, continuous monitoring and remediation, working with third-party providers, educating and raising awareness among users. By integrating these components, organisations can establish a robust security infrastructure capable of safeguarding sensitive data in cloud environments. © 2024 ieee.

关键词： Authorization

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Open Lora Design and Implementation For IoT

Open Lora Design and Implementation For IoT

引用

2023 International conference on Power Energy, Environment and Intelligent control, PEEIC 2023

作者： Yadav, Dhananjay Kumar Tony Aby Varkey, M. Adil, Mir Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Department of Computer Science and Information Technology Bangalore India

ISBN: (纸本)9798350357769

As an effective low-power wide-area (LPWA) connection that enables energy-efficient gadgets to build an affordable connection across huge regions, the Long Range (LoRa) networking is gaining appeal. This article provides users with a strong basis for numerous IoT applications by outlining a practical method for building and implementing a private LoRa network. Typical LoRa network-based scenarios are examined before we show the LoRa system's structure and describe the functions of every component. In addition, we provide a thorough examination of the equipment conception and development of the LoRa The Gateway, which serves as a link amongst LoRa terminals to the LoRa net administration. Notably, we provide an improved software design for the LoRa servers as well as make its free to download software source code accessible on GitHub as a noteworthy contribution. This design provides flexibility and adaptability by segmenting the LoRa networking server into five separate modules and implementing a message system based on information streaming for inter-module interaction. The performance of the LoRa network is thoroughly tested in the paper's conclusion in real-world settings. © 2023 ieee.

关键词： Equipment conception IoT applications LoRa Gateway LoRa network LoRa Network Server LoRa Node LPWA connection Microservices and IoT possibilities Software design

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Integrated Approach for Real-time Human Counting, Tracking, and Direction Estimation using Advanced Algorithms 15

Integrated Approach for Real-time Human Counting, Tracking, ...

引用

15th International conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Shrivastav, Pooja Andu, Ashok Kumar Thavani CMRU CMR Institute of Technology Bengaluru India School of Science & Computer Science CMR University Bengaluru India

ISBN: (纸本)9798350370249

Modern surveillance systems need to be able to count and track people in video streams accurately and in real time in order to support a variety of applications, from crowd control to security monitoring. This paper offers an integrated approach that makes use of the YOLOv4 and DeepSORT algorithms for accurate human detection and effective tracking, respectively, together with a method for forecasting the direction of individual movements. YOLOv4 is leveraged for its high detection accuracy and speed, ensuring that human figures are recognized rapidly in diverse environments. Subsequently, DeepSORT is used to track the identified persons between frames. This technique uses a Kalman filter in conjunction with appearance traits derived from deep learning to preserve identity consistency even in crowded settings. Furthermore, a direction estimate method is presented that provides useful contextual information regarding crowd dynamics by estimating movement directions based on the tracked individuals' trajectories. By testing the proposed system on benchmark datasets, state-of-the-art results are obtained in terms of processing speed, accuracy, and efficiency. In addition to scalable solutions for real-time applications in regulated and urban contexts, safety and operational intelligence are improved. ©2024 ieee.

关键词： Convolutional neural networks

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Multi-path Data Transmission to Protect Data in Transit

Multi-path Data Transmission to Protect Data in Transit

引用

ieee International conference on Consumer Electronics (ICCE)

作者： Court, Andrew Alamleh, Hosam Univ North Carolina Wilmington Comp Sci Wilmington NC 28403 USA

ISBN: (纸本)9781665491303

In the last few decades, society has seen rapid advancements in Information and Communications technology (ICT), which have revolutionized how data is created, transmitted, stored, and exchanged. ICT is a vast and everchanging subject, but two important concepts derived from ICT are data communications and networking. Data communications involve the use of a transmission medium, wired or wireless, to allow for the exchange of data between two or more devices. Many of the applications people rely on today require the use of data, including personal data, and thus, are enabled by data communications. Increased efficiency and speed of data communication have seen paralleled increases in the field of communication surveillance. When it comes to data transmission, surveillance is of the utmost importance. However, how data during transmission is protected is a topic that requires endless exploration. This paper begins with a discussion of ICT and how it has evolved within society today. Next, surveillance techniques for data transmission are explored, followed by countersurveillance techniques to deter potential hackers from accessing private data. During the discussion of counter-surveillance, a novel counter-surveillance technique is proposed. This technique centers around directing traffic from the transmitting side over multiple links to the receiving side, resulting in data aggregation. Utilizing a powerful packet manipulation tool, Scapy, along with raw socket programming using the Python programming language, this paper presents, implements, tests, and evaluates a proof of concept for the proposed system. Using a stable Wi-Fi connection and a mobile hotspot as the two-multimedia links, with segments being sent in on alternating links, secure and successful data transmission from the client side to the server side was achieved.

关键词： Counter-surveillance data communications data concealment data transmission network security Scapy transmission control protocol

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Key Technologies and applications for Intelligent control of Power 5G Virtual Private Network 10

Key Technologies and Applications for Intelligent Control of...

引用

10th ieee Joint International Information technology and Artificial Intelligence conference, ITAIC 2022

作者： Guo, Xuerang Yin, Jun Li, Yaping Zhang, Zhijun Xie, Peng Li, Yue State Grid Xinjiang Electric Power Research Institute Information and Communication Technology Center Urumqi China Electric Power Control Center State Grid Xinjiang Electric Power Company Urumqi China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

With the continuous promotion of 5G technology application in the electric power industry, how to realize the viewable, manageable and controllable power 5G virtual private network becomes an urgent problem to be solved. This paper starts from the self-management demand of the electric power industry for the operator's 5G power virtual private network, conducts a comprehensive research and analysis in key technologies and platform design, and proposes the construction architecture and functional modules of the power 5G virtual private network management platform, which helps to enhance the efficient management of the power 5G virtual private network and also helps to improve the digital level of the enterprise. © 2022 ieee.

关键词： Power control

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An Efficient Fixed-Time Filter for Backstepping Attitude control of Quadcopter 9

An Efficient Fixed-Time Filter for Backstepping Attitude Con...

引用

9th International conference on control, Decision and Information Technologies, CoDIT 2023

作者： Do, Truong-Dong Xuan-Mung, Nguyen Lee, Yong-Seok Hong, Sung Kyung Sejong University Department of Aerospace System Engineering Department of Convergence Engineering for Intelligent Drone Seoul05006 Korea Republic of Sejong University Faculty of Mechanical and Aerospace Engineering Seoul05006 Korea Republic of Sejong University Faculty of Mechanical and Aerospace Engineering Department of Convergence Engineering for Intelligent Drone Seoul05006 Korea Republic of

ISBN: (纸本)9798350311402

Quadcopter unmanned aerial vehicles have been increasingly popular in numerous real-world applications due to their efficiency and maneuverability. In order to ensure safe and stable operations, drone stabilization control requires quick responses from the controller. In this paper, an efficient fixed-time filter (EFTF) for backstepping attitude control of quadcopters is proposed. First, in order to avoid the feasibility conditions, state transformations are used to solve the full-state constraints problem. Second, EFTF is introduced to eliminate the complexity explosion of the backstepping approach as well as guarantee fixed-time stability. Then, the stability of the closed-loop attitude controller is proven by the Lyapunov theory. Finally, numerical simulations were conducted to evaluate the effectiveness of the proposed algorithm for convergent output errors around zero in a fixed time interval. © 2023 ieee.

关键词： Attitude control

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A Wearable Multipurpose Toxic Gas-Monitoring Device for Industrial applications 19

A Wearable Multipurpose Toxic Gas-Monitoring Device for Indu...

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ieee 19th International conference on Body Sensor Networks (ieee BSN)

作者： Tahir, Muhammad Nabeel Falana, David Daniel, Kamsiyochukwu O. Arevalo, David Guanipatin, Jose Hassan, Umer Rutgers State Univ Dept Elect Engn Piscataway NJ 08901 USA

ISBN: (纸本)9798350338416

A constant threat of exposure to toxic industrial gases poses a critical concern for the safety of industrial workers. The existing commercially available gas sensing and monitoring platforms are limited in their abilities to monitor the potential leakages over a wide area and range of toxic gases. The latest advancements in technology have given birth to wearable sensing platforms that can be employed to monitor various physiological and environmental parameters. The use of these wearable devices has been constantly explored for monitoring and detection of toxic gases in the surrounding environment of a user. Unlike, traditional platforms wearable devices provide flexible, portable, and efficient solutions to the problems faced by workers in industries like mining and oil and gas. Current state-of-the-art wearable toxic gas monitoring solutions target a specific type of toxic gas and provide either an expensive or an uncomfortable device for the industrial worker. Also, these devices fail to provide useful information regarding the current health of the user. In this study, a multipurpose toxic gas sensing device has been presented along with the features of physiological signal measurement of the industrial worker. To broaden the scope of the device multiple metal oxide-based gas sensors were integrated and a custom-designed graphical user interface was designed to provide control and safety notifications to the user. Finally, a wireless connection to a custom-designed mobile application lets users analyze and report the data collected from the developed platform. Following the set of features introduced in the device, it can be used in any industrial setting as personal protective equipment to ensure the safety of the workers.

关键词： Toxic gases metal oxide sensors temperature and humidity wireless wearable

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Advancements in Melanoma Skin Cancer Detection Using Deep Learning: A Comprehensive Review 7

Advancements in Melanoma Skin Cancer Detection Using Deep Le...

引用

2023 7th International conference On Computing, Communication, control And Automation, ICCUBEA 2023

作者： Kachare, Kaustubh Bhagat, Narendra Raundale, Pooja Sardar Patel Institute of Technology Department of Information Technology Mumbai India Sardar Patel Institute of Technology Department of Electronics Mumbai India Sardar Patel Institute of Technology Department of Computer Applications Mumbai India

ISBN: (纸本)9798350304268

In the past few years skin cancer has become the most common cancer worldwide, and come to know that Melanoma is the most prevalent form of cancer. Also, it's difficult to detect Melanoma in its early stage even for a skilled dermatologist. Recently detecting Melanoma has been viable due to Deep Learning. In this study, we surveyed the effectiveness of various deep-learning algorithms for Melanoma skin cancer detection. We have studied various papers and evaluated different methods on the basis of accuracy, sensitivity, specificity, preprocessing techniques used, image segmentation, image classification, and feature extraction. The findings of this study will shed important light on how well various deep learning algorithms perform at melanoma skin cancer detection, which may assist direct the creation of more efficient diagnostic tools and enhance patient outcomes. © 2023 ieee.

关键词： accuracy Deep Learning feature extraction image classification image segmentation Melanoma preprocessing sensitivity Skin cancer specificity

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Energy-Efficient and QoS Assurance Link Adaptation Scheme for Wireless Body Area Networks 32

Energy-Efficient and QoS Assurance Link Adaptation Scheme fo...

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32nd International Telecommunication Networks and applications conference (ITNAC)

作者： Chen, Da-Ren Liang, Nai-Xin Natl Taichung Univ Sci & Technol Dept Informat Management Taichung Taiwan

ISBN: (纸本)9781665471039

Due to limited power supply and long-life service requirements for wireless sensor nodes, energy and time-efficient methods are critical to in the wireless body area networks (WBAN). Link adaptation (LA) technique, in which modulation and coding are applied to change per channel conditions to maximize link throughput are widely investigated in the field of mobile communications. On the basis of LA and transmit power control (TPC) techniques, we propose a model-based calibration scheme to maintain a transmit power threshold table WBAN which satisfies the target quality of service (QoS) while minimizing transmission power of sensor nodes. Rather than existing methods that compare the SNR threshold with instantaneous channel SNR, we contrast the target bit error rate (BER) with instantaneous received BER, and calibrate the path loss and shadowing model, and receiver sensitivity. The proposed method lower bounds the transmit power given a pair of prescribed data rate and BER for a set of feasible combinations of modulation and coding schemes (MCSs). The performance evaluation show that the proposed method outperforms previous link adaptation methods in execution overheads and energy efficiency.

关键词： link adaptation wireless body area networks transmit power control

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Design and Realization of Fractional-order VM Biquad Filter using CFOA

Design and Realization of Fractional-order VM Biquad Filter ...

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2023 International conference on Computer, Electronics and Electrical Engineering and their applications, IC2E3 2023

作者： Deshamukhya, Sukanya Mishra, Shalabh Kumar Aggarwal, Bhawna Netaji Subhas University of Technology Department of Ece Delhi India Bharati Vidyapeeth's College of Engineering Delhi India

ISBN: (纸本)9798350338003

This paper presents the active realization of a voltage mode fractional-order biquad filter which is capable of generating inverting low-pass, non-inverting band-pass along with a high-pass response. This filter has been realized using 3 current feedback operational amplifiers, 4 resistors and two fractional-capacitors of order α. The transfer function of the system is derived for all three responses. The stability of the suggested circuit is analyzed by employing the pole-zero plot in W-plane. The proposed circuit offers the independent frequency control feature by varying the order α. The average power consumption is calculated to be 0.22mW. The proposed circuit is simulated for various values of α using MATLAB and the transistor level simulation is carried out in LTSpice software using 180nm CMOS technology. © 2023 ieee.

关键词： Operational amplifiers

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