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ABSTRACT: As more people use cloud-based electronic health record (EHR) systems, they make healthcare better, but they also make it easier for cybercriminals to attack. This article describes a system that uses artificial intelligence (AI) and machine learning (ML) to intelligently watch cloud-hosted EHR environments for bad behaviour, find cyberattacks, and automatically take the right steps to stop them. Using supervised machine learning models that have been trained on known threat indicators, the suggested framework constantly looks at log and system data. As soon as an attack is found, established containment and mitigation steps are carried out naturally to lower the harm. The test results show that...
Keywords: Cloud-Hosted Electronic Health Records, Machine Learning, Threat Detection, Cyberattacks, Healthcare Security, Intrusion Detection Systems, Incident Response Automation, Behavior-Based Detection
[1]
Alwaheidi, M. K., & Islam, S. (2022). Data-Driven Threat Analysis For Ensuring Security In Cloud Enabled
Systems. Sensors, 22(15), 5726.
[2]
Alwaheidi, M. K., & Islam, S. (2022). Data-Driven Threat Analysis For Ensuring Security In Cloud Enabled
Systems. Sensors, 22(15), 5726.
[3]
Chen, P. P., Tsui, N. T., Fung, A. S., Chiu, A. H., Wong, W. C., Leong, H. T., ... & Lau, J. Y. (2017). In-Situ Medical Simulation For Pre-Implementation Testing Of Clinical Service In A Regional Hospital In Hong Kong. Hong Kong Medical Journal, 23(4), 404.
[4]
Chowdhury, M. G. U. (2016). Securing Web Systems: A Case Study Of Cybercrime Web Database System (Doctoral Dissertation, University Of Massachusetts Lowell).
[5]
Dawood, M., Tu, S., Xiao, C., Alasmary, H., Waqas, M., & Rehman, S. U. (2023). Cyberattacks And Security Of Cloud Computing: A Complete Guideline. Symmetry, 15(11), 1981.
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Paper Type | : | Research Paper |
Title | : | Comparison of different algorithms to improve the quality of Image |
Country | : | India |
Authors | : | Mr. Mayur M. Sonavane || Dr. S. S. Agrawal |
: | 10.9790/4200-14041117 |
ABSTRACT: Super-resolution (SR) become the most important task in image processing because of requirement of high quality of images. It becomes popular in technology like computer vision and pattern recognition. In Single Image Super-resolution (SR) uses the sequences of single low resolution (LR) images from high resolution (HR) to improve the quality of image. The SR is an image processing problem which aims to generate a high resolution (HR) image from low resolution input image. The SR is difficult because of the missing information in the given LR image......
Keywords: Accuracy, bi-linear SR, Directional group sparsity, PSNR, Super-Resolution
[1]. Xiaoyan Li, Hongjie He, Ruxin Wang, and Dacheng Tao, "Single Image Super resolution via Directional Group Sparsity and Directional Features", IEEE transaction on image processing, Vol. 24, No. 9 Sept 2015.
[2]. X. Li and M. T. Orchard, "New edge-directed interpolation," IEEE Trans. Image Process., vol. 10, no. 10, pp. 1521–1527, Oct. 2001.
[3]. X. Zhang and X. Wu, "Image interpolation by adaptive 2D autoregressive modeling and soft-decision estimation," IEEE Trans. Image Ptocess, vol. 17, no. 6, pp. 887–896, Jun. 2008.
[4]. D. Tao, L. Jin, Y. Wang, and X. Li, "Person reidentification by minimum classification error-based KISS metric learning," IEEE Trans. Cybern., vol. 45, no. 2, pp. 242–252, Feb. 2015.
[5]. C. Xu, D. Tao, and C. Xu, "Multi-view intact space learning," IEEE Trans. Pattern Anal. Mach. Intell., Mar. 2015, doi: 10.1109/TPAMI.2015.2417578..
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ABSTRACT: The Key Objective is HDL RTL Design Architecture of Ultra high multi Clock Frequency Speed Rate ( MHz, GHz, THz, PHz, EHz, ZHz, etc) Bits Per Second Baud Rate ) P.R.B.S(Pseudo Random Binary Sequence) Transceiver Soft A.S.I.C IP Core product for identification of the property of Different Pseudo Random Binary Sequence Patterns (Seed Words) of 2e7-1, 2e10-1, 2e15-1, 2e23-1, 2e31-1 tapped elements as per C.C.I.T.T-I.T.U Standards and IEEE-754 Single and Double Data Rate Data Precision Standards (32 bit & 64 Bit Data Width ) suited for Very....
Keywords. P.R.B.S- Pseudo Random Binary Sequence, Wi-Fi-Wireless Fidelity, F.P.G.A – Field Programmable Gate Array, IDE – Integrated Development Environment. C.C.I.T.T- Consulting Committee for International Telegraph and Telephone, I.T.U- International Telecommunication Union, A.S.I.C- Application Specific Integrated Circuit, E.D.A- Electronic Design Automation
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ABSTRACT: The RAW (Restricted Access Window) component of the IoT network is deployed to reduce traffic and channel contention in dense and heterogeneous sensor network environment. It divides sensor nodes into groups and slots, allowing channel access only to one RAW slot at a time. Several algorithms and improved channel utilization optimization models have been proposed to optimize the RAW parameters, to ensure a contention free network....
KEYWORDS: Resource allocation, station, network, nodes, simulation
[1]. Tian, L., Famaey, J., &Latre, S, "Evaluation of the IEEE 802.11ah Restricted Access Window mechanism for dense IoT networks", IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), PP-1-10, 2016.
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[5]. Michael Collins (2015). The Forward-Backward Algorithm. International Journal of Communication System, Volume 32, Issue 7, PP-1-20, 2019.
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ABSTRACT: Electronic circuits are exposed to very high energy radiation in the harsh conditions of outer space. This leads to soft errors such as single-event upsets (SEU), double-event upsets (DEU) and single-event transients (SET). The memory circuits are the most susceptible to these soft errors resulting in severe data loss. This paper proposes the design for an SRAM cell that is radiation hardened by design (RHBD). A comparative study of the standard SRAM cell and the RHBD SRAM cell indicates that the proposed design is resilient to SEUs and DEUs......
Key Word: DEU; Radiation Hardening; RHBD; SET; SEU; DEU; SRAM.
[1]. N. Chen, T. Wei, X. Wei and X. Chen, "A Radiation Hardened SRAM in 180-nm RHBD Technology," 2013 IEEE 11th International Conference on Dependable, Autonomic and Secure Computing, 2013, pp. 159-162
[2]. N. K. Z. Lwin, H. Sivaramakrishnan, K. -S. Chong, T. Lin, W. Shu and J. S. Chang, "Single-Event-Transient Resilient Memory for DSP in Space Applications," 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), 2018, pp. 1-5
[3]. Yuanyuan Han, Tongde Li, Xu Cheng "Radiation Hardened 12T SRAM With Crossbar-Based Peripheral Circuit in 28nm CMOS Technology," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 7, pp. 2962-2975, July 2021
[4]. C. Naga Raghuram, B. Gupta and G. Kaushal, "Double Node Upset Tolerant RHBD15T SRAM Cell Design for Space Applications," in IEEE Transactions on Device and Materials Reliability, vol. 20, no. 1, pp. 181-190, March 2020
[5]. D. Patel and N. Gajjar, "An Investigation of Single Event Upset Hardened SRAM Bit Cells," 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2021, pp. 1-4.