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Enhancing Access Control in Cloud Storage through Sanitizable Access Control System

Enhancing Access Control in Cloud Storage through Sanitizabl...

Computational Intelligence for Security, Communication and Sustainable Development (CISCSD), International Conference on

作者： Kolli Naveena M Suleman Basha Chanda Sai Sathvik Tadikamalla Revanth Mahajan Polepaka Nithin Emmanuel CSE (Cyber Security) Institute of Aeronautical Engineering Hyderabad India Dept. of CSE (Data Science) RGM College of Engineering and Technology (Autonomous) Nandyal Andhra Pradesh India Dept. of CSE (Cyber Security) Institute of Aeronautical Engineering Hyderabad India

ISBN: (数字)9798350365405

ISBN: (纸本)9798350365412

There is a need to help a persuading public taking a gander at with showing which beats the check of the expected to inspect plan. The proposed structure is made to genuinely take a gander at the exactness of cloud information through Organized able, strangely or on request without recovering the whole information or without changing extra electronic issue with the cloud clients and cloud servers. It guarantee that no information content is spilled to Instructive during the inspecting structure. It stays mindful of cutoff rightness of information, unsurprising quality and security of managed information. The proposed imagine combines three key parts; they are information proprietor, cloud server cutoff and Specialist.

关键词： Access control Cloud computing Privacy Security Servers Synchronization Cryptography Sustainable development Homomorphic encryption Edge computing

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The Future of Wire Arc Additive Manufacturing Comprehensive Strategies for Improved Close Loop Monitoring and Control

The Future of Wire Arc Additive Manufacturing Comprehensive ...

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2024 OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Nijhawan, Ginni Lalitha, G. Asha, V. Suresh, V.J. Praveen Abdulzahraa, Zahraa H. Lovely Professional University Phagwara India Institute of Aeronautical Engineering Hyderabad Dundigal India New Horizon College of Engineering Department of Computer Applications Bangalore India St. Martin's Engineering College Dept. of Cse Telangana Secunderabad India Lloyd Institute of Engineering & Technology Knowledge Park II Uttar Pradesh Greater Noida201306 India National University of Science and Technology College of Health and Medical Technology Dhi Qar64001 Iraq

ISBN: (纸本)9798350373783

This article describes a series of approaches that improve wire are additive manufacturing (WAAM) for manufacturing many metal items. ATM, MCA 2, ALTC 2, and RSM are the five techniques in the framework. Ablation research examined each approach and how they work together to improve WAAM accuracy, distortion, and material compatibility. The thorough performance comparison, including photographs, indicates that WAAM is better in deposition rate, surface quality, clarity, material diversity, cost-effectiveness, and scalability. The integrated framework enables dynamic modifications, tracking, and iterative improvements. This makes WAAM the optimal additive manufacturing process for many applications. The data indicates how significant each strategy is and how they work together to improve WAAM. This study illuminates sophisticated additive manufacturing technologies and indicates that WAAM is a feasible and flexible alternative to large metal component manufacturing. © 2024 IEEE.

关键词： Wire

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Exploring Advanced Techniques in Computer and Network Forensics for Enhanced Cybersecurity

Exploring Advanced Techniques in Computer and Network Forens...

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2024 OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Nagpal, Amandeep Kumar, S Vinod Reddy, Uma Radha, K. Kumar, Ashwani Abdulla, Namaat R. Lovely Professional University Phagwara India Institute of Aeronautical Engineering Hyderabad Dundigal India New Horizon College of Engineering Department of Artificial Intelligence and Machine Learning Bangalore India St. Martin's Engineering College Dept. of It Telangana Secunderabad India Lloyd Institute of Engineering & Technology Knowledge Park II Uttar Pradesh Greater Noida201306 India National University of Science and Technology College of Health and Medical Technology Dhi Qar64001 Iraq

ISBN: (纸本)9798350373783

Because cybersecurity is continually changing, it's crucial to have effective, adaptable defenses. This paper demonstrates a novel computer security method. This is done via blockchain technology, enhanced cryptography, threat intelligence integration, machine learning-based strangeness detection, and behavioral analysis. After carefully comparing our solution to others, we feel it is the best way to secure computer and network systems. The Machine Learning-Based Anomaly Identification approach accurately identifies anomalies using complex mathematical calculations and repetitive procedures to adjust parameters. Blockchain technology unites odd data into a decentralized ledger using encryption for forensics efficiency. Homomorphic encryption and quantum-resistant signatures protect the program against new attacks. The proposed method exhibits superior performance across various metrics, achieving a detection accuracy of 98.5% with a low false positive rate of 1.0%. Visualizations elucidate trade-offs, trends, and classification metrics. This cybersecurity framework offers a promising solution for addressing the dynamic challenges posed by a wide range of cybersecurity threats. Its adaptability, versatility, and collective efficacy position it as a noteworthy advancement in the pursuit of securing digital environments from evolving and sophisticated cyber threats. © 2024 IEEE.

关键词： Adversarial machine learning

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Security of Electronic Health Record using Attribute based Encryption on Cloud

Security of Electronic Health Record using Attribute based E...

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Electronics and Sustainable Communication Systems (ICESC), 2020 International Conference on

作者： B. Murali Krishna I. Sapthami M. Srivani Ranjith Kumar Rupani Department of Computer Science and Engineering MLR Institute of Technology Hyderabad Department of Computer Science and Engineering (Data Science) CVR College of Engineering Hyderabad Dept. of Computer Science and Engineering Koneru Lakshmaiah Education Foundation

Because of the likelihood of data breaches and the potential hazards of patient information, healthcare institutions face significant challenges in implementing cloud-based Electronic Health Record (EHR) systems. Current authorization models are based on a patientdriven approach to EHR system management, in which the patient’s agreement to allowing data access is prioritised. However, the patient has a considerable burden in ensuring the security of their healthcare record. Given the problems that healthcare providers confront, many employees are apprehensive to use cloud-based EHR systems. data breaches and patient data compromise can result in serious legal and financial ramifications for healthcare organisations. To overcome these issues, healthcare organisations must implement more robust permission models that prioritise patient data protection and privacy. This necessitates a transition from the present patient-driven strategy to a more proactive one that prioritises data security and privacy across the EHR management process. By introducing more advanced permission models and robust security mechanisms, medical organisations can minimise the dangers associated with cloud-based EHR systems while also ensuring patient data privacy and security. Not only will this improve patient outcomes, but it will also shield healthcare organisations from legal and financial responsibilities.

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Assessing the Impact of Emerging Technologies on Cybersecurity with a Special Emphasis on Artificial Intelligence, the Internet of Things, and Blockchain Innovations

Assessing the Impact of Emerging Technologies on Cybersecuri...

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2024 OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Mankhi, Eliph Mazher Rajitha, Akula Revathi, V. Thethi, H. Pal Yadav, Dinesh Kumar Kanthi, K. Surya National University of Science and Technology College of Health and Medical Technology Dhi Qar64001 Iraq Institute of Aeronautical Engineering Hyderabad Dundigal India New Horizon College of Engineering Department of Applied Sciences Bangalore India Lovely Professional University Phagwara India Lloyd Institute of Engineering & Technology Knowledge Park II Uttar Pradesh Greater Noida201306 India St. Martin's Engineering College Dept. of It Telangana Secunderabad India

ISBN: (纸本)9798350373783

This article proposes a safety strategy that addresses the complex concerns raised by blockchain, AI, and the Internet of Things. Use Threat Intelligence Integration (TII), Dynamic Risk Assessment (DRA), Blockchain Integrity Verification (BIV), AI Adversarial Robustness Assessment (AARA), and IoT Security Compliance Assessment (ISCA). Each program is part of a larger, more linked defense system for sophisticated cyberthreats. The program uses Threat Intelligence Integration. Combining historical data with realtime hazard sources predicts assaults and their outcomes. The TII enabled new algorithms like DRA. The algorithms discover assets, assess weaknesses, and prioritize threats. Blockchain Integrity Verification (BIV) checks for issues and performs complicated hash and weight computations to secure the blockchain. AI Adversarial Robustness Assessment (AARA) evaluates AI models in BIV tests and other adversarial tasks. The ISCA ensures IoT devices fulfill AARA safety and security criteria. Each algorithm prioritizes tracking, updating, and assessing to keep up with the ever-changing risk situation. The recommended solution is more accurate, finds more threats, reduces false positives, is scalable, and is simpler to set up than current defense solutions. © 2024 IEEE.

关键词： Adversarial machine learning

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An Overview of Protocols-Based Security Threats and Countermeasures in WLAN

An Overview of Protocols-Based Security Threats and Counterm...

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Emerging Technology (INCET), International Conference for

作者： Nitish Kumar Ojha Elyas Baray Dept. of Information Technology Indian Institute of Information Technology Allahabad India Dept. of Computer Science and Engineering Sharda University Knowledge Park – III Greater Noida India

WLAN security protocols are the most important section for wireless networks which controls all the security-related issues by securing the network with some pre-defined rules made by wireless-protected access organizations, further which makes it the main target of hacking and threats by interested parties and to be safe from such threats. There should be countermeasures for such threats where there will be a solution for any threat encountered and to mention. WIFI or wireless local area Network is a cost-effective easy deployment Network that makes users take advantage of vast data shared on the internet and by the network without the need for any cable for connections. Here in this overview paper by reviewing many researchers’ techniques and works on the WLAN security topic, there are shared threats to WLAN and the ways of taking precautions against those threats as countermeasures and for which the tables are used. For comparison of techniques used by authors and some famous and highly dangerous threats are also defined further. WPA3’s new security protocol is also defined with its newly found vulnerabilities and countermeasures except there is a conclusion on the downgrade attack problem with WPA3. Further, there are also countermeasures for that as well, nowadays people think the network is secured with standards defined by the IEEE organization but some know this is not the case so it makes it a more important area for research.

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APC System: A system for the Blind and Deaf Who Face Visual and dept. Perception Challenges

APC System: A system for the Blind and Deaf Who Face Visual ...

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Recent Advances in science and engineering Technology (ICRASET), International Conference on

作者： Suraya Mubeen G.V. Ashritha Sanjeev Bandru Marri Sireesha Nuthanakanti Bhaskar Voruganti Naresh Kumar Dept. of Electronics and Communication Engineering CMR Technical Campus Hyderabad Telangana India Dept. of Computer Science and Engineering (Data Science) CMR Technical Campus Hyderabad Telangana India Dept. of Information Technology Sreenidhi Institute Of Science And Technology Hyderabad Telangana India Dept. of Computer Science and Engineering CMR Technical Campus Hyderabad Telangana India

In this paper, APC System (Assistive Path Control System) is proposed to provide blind and deaf individuals with the assistance they need to navigate their environment by using the "third eye" technology. As part of the technology, a hand glove and a stick are used to identify obstacles using ultrasonic sensors and to provide haptic feedback through vibrations in order to detect obstacles. Wearers of the glove are alerted through a buzzer and provided with feedback on distance and direction of obstacles in their path, while those of the stick are given feedback on the change in elevation and dept. over time. The use of vibrations as a form of feedback is crucial to the functioning of deaf people. Testing of the technology has shown promising results, and future work will focus on optimizing accuracy and accessibility by using machine learning algorithms in order to improve the system. As a primary goal of the APC System is to enhance the quality of life for blind and deaf individuals by providing them with a tool that will help them navigate their environment in the most effective manner.

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A Vision-Based Autonomous AI Tic-Tac-Toe Manipulation System

A Vision-Based Autonomous AI Tic-Tac-Toe Manipulation System

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International Electrical engineering Congress (iEECON)

作者： Panjawee Rakprayoon Akechai Ounsiri Ratchanon Chongyoa Dept. AI Engineering and Data Science Faculty of Engineering Bangkok University Pathum Thani Thailand DNA ROBOTICS and Automation System Company Limited Pathum Thani Thailand Dept. Computer and Robotics Engineering Faculty of Engineering Bangkok University Pathum Thani Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

For an AI tic-tac-toe manipulator application, a real-time vision-based approach is proposed. The technique employs the RealSense camera to capture color and dept. images. Combining object detection and image processing techniques to identify X's and O's positions on the game board. However, we recognize that errors can occur during object movement when using only 2D images. To solve this problem, a calibration method between RealSense and the manipulator based on the point-to-plane ICP algorithm is presented. This method provides the 3D object position in the robot coordinate, resulting in increasing the accuracy from 86.25% to 97.25%. Our experiment shows that this technique is highly effective and can accurately identify position objects.

关键词： Three-dimensional displays Robot kinematics Robot vision systems Games Object detection Manipulators Real-time systems

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UDC-SIT: a real-world dataset for under-display cameras 23

UDC-SIT: a real-world dataset for under-display cameras

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Proceedings of the 37th International Conference on Neural Information Processing Systems

作者： Kyusu Ahn Byeonghyun Ko HyunGyu Lee Chanwoo Park Jaejin Lee Dept. of Data Science Seoul National University Seoul Republic of Korea and Research Center Samsung Display Co. Ltd. Yongin Republic of Korea Dept. of Computer Science and Engineering Seoul National University Seoul Republic of Korea Dept. of Data Science Seoul National University Seoul Republic of Korea and Dept. of Computer Science and Engineering Seoul National University Seoul Republic of Korea

Under Display Camera (UDC) is a novel imaging system that mounts a digital camera lens beneath a display panel with the panel covering the camera. However, the display panel causes severe degradation to captured images, such as low transmittance, blur, noise, and flare. The restoration of UDC-degraded images is challenging because of the unique luminance and diverse patterns of flares. Existing UDC dataset studies focus on unrealistic or synthetic UDC degradation rather than real-world UDC images. In this paper, we propose a real-world UDC dataset called UDC-SIT. To obtain the non-degraded and UDC-degraded images for the same scene, we propose an image-capturing system and an image alignment technique that exploits discrete Fourier transform (DFT) to align a pair of captured images. UDC-SIT also includes comprehensive annotations missing from other UDC datasets, such as light source, day/night, indoor/outdoor, and flare components (e.g., shimmers, streaks, and glares). We compare UDC-SIT with four existing representative UDC datasets and present the problems with existing UDC datasets. To show UDC-SIT's effectiveness, we compare UDC-SIT and a representative synthetic UDC dataset using five representative learnable image restoration models. The result indicates that the models trained with the synthetic UDC dataset are impractical because the synthetic UDC dataset does not reflect the actual characteristics of UDC-degraded images. UDC-SIT can enable further exploration in the UDC image restoration area and provide better insights into the problem. UDC-SIT is available at: https://***/mcrl/UDC-SIT.

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Blind Deconvolution on Graphs: Exact and Stable Recovery

arXiv

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arXiv 2024年

作者： Ye, Chang Mateos, Gonzalo Dept. of Electrical and Computer Engineering University of Rochester Rochester United States Goergen Institute for Data Science University of Rochester Rochester United States

We study a blind deconvolution problem on graphs, which arises in the context of localizing a few sources that diffuse over networks. While the observations are bilinear functions of the unknown graph filter coefficients and sparse input signals, a mild requirement on invertibility of the diffusion filter enables an efficient convex relaxation leading to a linear programming formulation that can be tackled with off-the-shelf solvers. Under the Bernoulli-Gaussian model for the inputs, we derive sufficient exact recovery conditions in the noise-free setting. A stable recovery result is then established, ensuring the estimation error remains manageable even when the observations are corrupted by a small amount of noise. Numerical tests with synthetic and real-world network data illustrate the merits of the proposed algorithm, its robustness to noise as well as the benefits of leveraging multiple signals to aid the (blind) localization of sources of diffusion. At a fundamental level, the results presented here broaden the scope of classical blind deconvolution of (spatio-)temporal signals to irregular graph domains. © 2024, CC BY.

关键词： Deconvolution

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