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Automated Cybersecurity Attack Detection Using Prairie Dog Optimization and Multilayer Perceptron in Healthcare System

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Automated Cybersecurity Attack Detection Using Prairie Dog O...

Distributed Computing and electrical Circuits and Electronics (ICDCECE), IEEE International Conference on

作者： Sanjaikanth E Vadakkethil Somanathan Pillai Sanjay Susanta Poddar Y. Nagendar Piyush Kumar Pareek Pankaj Zanke School of Electrical Engineering and Computer Science University Of North Dakota Grand Forks USA Advanced Services Engineer Fortinet Ltd Dallas Texas USA School of Computer Science and Engineering SR University Warangal Telangana India Department of AIML and IPR Cell Nitte Meenakshi Institute of Technology Bengaluru India Sapiens International Corporation USA

ISBN: (数字)9798350318609

ISBN: (纸本)9798350318616

Internet of Things (IoT) technologies have become an inevitable part of our lives with many innovations and conveniences in many fields such as education, healthcare, social life and security. While healthcare network complexity and connectivity are developing in a superior manner at the same time, cyber-attack surfaces and vulnerabilities are also increasing dramatically. Harming people either physically or digitally are some of the threat to the health and life of patients through data breaches across multiple departments of health systems. In this research, the prairie dog optimization (PDO) algorithm and multilayer perceptron (MLP) is proposed cyber-attack detection model. The proposed approach was performed the several IoMT cybersecurity datasets using Intensive Care Unit (ICU Dataset), Washington University in St. Louis enhanced healthcare monitoring system (WUSTL-EHMS) datasets, Edith Cowan University- Internet of Health Things (ECU-IoHT), and TON-IoT. PDO is used for selecting the optimal features from the attained dataset, MLP parameters is performed by hyperparameter optimization as well as 10-fold cross-validation technique for performance assessment. The proposed method has the potential to counter cyber-attacks in healthcare applications, it attained higher precision at 99.54%, accuracy of 99.45%, recall 99.56% and f1-score 99.46% in ECU-IoHT dataset.

关键词： Performance evaluation Grasslands Technological innovation Medical services Dogs Multilayer perceptrons Hyperparameter optimization

Error estimation of practical convolution discrete Gaussian sampling with rejection sampling

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Science China(Information Sciences) 2021年第3期64卷 229-231页

作者： Zhongxiang ZHENG Xiaoyun WANG Guangwu XU Chunhuan ZHAO Department of Computer Science and Technology Tsinghua University Institute for Advanced Study Tsinghua University Key Laboratory of Cryptologic Technology and Information Security Ministry of EducationShandong Universtiy Department of Electrical Engineering and Computer Science University of Wisconsin-Milwaukee

Dear editor,Discrete Gaussian sampling is a fundamental tool in lattice cryptography which has been used in digital signatures,identify-based encryption, attribute-based encryption, zeroknowledge proof, and fully homomorphic cryptosystem. As a subroutine of lattice-based scheme, a high precision sampling usually leads to a high security level and also brings large time and space complexity.

关键词： Information Systems and Communication Service

A Novel Sensor for Real-Time Pressure Monitoring in Colonoscopy Training

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A Novel Sensor for Real-Time Pressure Monitoring in Colonosc...

IEEE SENSORS

作者： Anirudh Vajpeyi Anish S. Naidu Jeffrey D. E. Hawel Christopher M. Schlachta Rajni V. Patel Canadian Surgical Technologies and Advanced Robotics (CSTAR) Lawson Health Research Institute London ON Canada Department of Electrical & Computer Engineering Western University London ON Canada Department of Surgery Western University London ON Canada

Colonoscopy is the most frequently employed method for screening and diagnosing colorectal cancers. A significant factor resulting in an incomplete colonoscopy procedure is direct trauma to the colon due to large forces applied during the insertion of a colonoscope which causes significant pain and discomfort to the patient. Acquiring the necessary skills for performing a successful procedure is technically challenging and requires substantial training. The current learning techniques primarily focus on completing the procedure without any feedback of the intensity of the pressure transmitted from the colonoscope to the colon wall. In this paper, we present a pressure-sensing sleeve that can be used in an interactive simulator-based training environment capable of providing real-time feedback on the pressure transmitted by the scope to the simulator colon. The sensor was designed using flex PCBs and utilizing the piezo-resistive behavior of carbon-filled polymers to reliably measure pressures up to the safe limit of 34 kPa.

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High-resolution Power Doppler Using Null Subtraction Imaging

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arXiv 2023年

作者： Kou, Zhengchang Lowerison, Matthew You, Qi Wang, Yike Song, Pengfei Oelze, Michael L. The Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign UrbanaIL61820 United States The Department of Electrical and Computer Engineering The Carle Illinois College of Medicine Department of Bioengineering United States

To improve the spatial resolution of power Doppler (PD) imaging, we explored null subtraction imaging (NSI) as an alternative beamforming technique to delay-and-sum (DAS). NSI is a nonlinear beamforming approach that uses three different apodizations on receive and incoherently sums the beamformed envelopes. NSI uses a null in the beam pattern to improve the lateral resolution, which we apply here for improving PD spatial resolution both with and without contrast microbubbles. In this study, we used NSI with three types of singular value decomposition (SVD)-based clutter filters and noise equalization to generate high-resolution PD images. An element sensitivity correction scheme was also proposed as a crucial component of NSI-based PD imaging. First, a microbubble trace experiment was performed to evaluate the resolution improvement of NSI-based PD over traditional DAS-based PD. Then, both contrast-enhanced and contrast free ultrasound PD images were generated from the scan of a rat brain. The cross-sectional profile of the microbubble traces and microvessels were plotted. FWHM was also estimated to provide a quantitative metric. Furthermore, iso-frequency curves were calculated to provide a resolution evaluation metric over the global field of view. Up to six-fold resolution improvement was demonstrated by the FWHM estimate and four-fold resolution improvement was demonstrated by the iso-frequency curve from the NSI-based PD microvessel images compared to microvessel images generated by traditional DAS-based beamforming. A resolvability of 39 µm was measured from the NSI-based PD microvessel image. The computational cost of NSI-based PD was only increased by 40 percent over the DAS-based PD. © 2023, CC BY.

关键词： Ultrasonic imaging

Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks

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arXiv 2023年

作者： Li, Xuefei Chen, Mingzhe Liu, Yuchen Zhang, Zhilong Liu, Danpu Mao, Shiwen The Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing100876 China The Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral GablesFL33146 United States The Department of Computer Science North Carolina State University RaleighNC27695 United States The Department of Electrical and Computer Engineering Auburn University AuburnAL36849-5201 United States

In this paper, the problem of joint communication and sensing is studied in the context of terahertz (THz) vehicular networks. In the studied model, a set of service provider vehicles (SPVs) provide either communication service or sensing service to target vehicles, where it is essential to determine 1) the service mode (i.e., providing either communication or sensing service) for each SPV and 2) the subset of target vehicles that each SPV will serve. The problem is formulated as an optimization problem aiming to maximize the sum of the data rates of the communication target vehicles, while satisfying the sensing service requirements of the sensing target vehicles, by determining the service mode and the target vehicle association for each SPV. To solve this problem, a graph neural network (GNN) based algorithm with a heterogeneous graph representation is proposed. The proposed algorithm enables the central controller to extract each vehicle’s graph information related to its location, connection, and communication interference. Using this extracted graph information, a joint service mode selection and target vehicle association strategy is then determined to adapt to the dynamic vehicle topology with various vehicle types (e.g., target vehicles and service provider vehicles). Simulation results show that the proposed GNN-based scheme can achieve 93.66% of the sum rate achieved by the optimal solution, and yield up to 3.16% and 31.86% improvements in sum rate, respectively, over a homogeneous GNN-based algorithm and a conventional optimization algorithm without using GNNs. Copyright © 2023, The Authors. All rights reserved.

关键词： Graph neural networks

Co-Design of Characteristic Mode and Coupling Matrix for Frequency Scanning Coupled-Patch Arrays

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TechRxiv

TechRxiv 2023年

作者： Xiao, Shuguang Zhou, Hongxin Rashid, Amir K. Zhang, Yujie Zhang, Yi Yuan, Zheng Zhang, Zhan Yu, Ming Zhang, Qingfeng Shenzhen Key Laboratory of EM Information Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen China Peng Cheng Laboratory Shenzhen China Department of Electronic and Computer Engineering Institute for Advanced Study Hong Kong University of Science and Technology Hong Kong Beijing Jiaotong University Beijing China

—A co-design approach is proposed in this communication for an efficient design of frequency scanning coupled-patch arrays (CPAs) with wide scanning range and high scanning rate. It combines characteristic mode analysis (CMA) and coupling matrix analysis in the design, where the former is employed for radiation pattern synthesis while the latter tunes the feeding reflection and mode excitation based on a coupled-resonator network model. With this systematic approach, it becomes efficient to control both beam scanning properties and feeding reflection. 3rd-order and 6th-order design examples are provided to validate the proposed method. The 6th-order CPA achieves a wide scanning range of 73◦ (from −45◦ to 28◦ across broadside) and a high scanning rate of 26.1◦/1%. Both scanning range and scanning rate are much higher than other reported CPAs. © 2023, CC BY-NC-SA.

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Towards Robust Family-Infant Audio Analysis Based on Unsupervised Pretraining of Wav2vec 2.0 on Large-Scale Unlabeled Family Audio

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arXiv 2023年

作者： Li, Jialu Hasegawa-Johnson, Mark McElwain, Nancy L. Department of Electrical and Computer Engineering University of Illinois United States Beckman Institute for Advanced Science and Technology University of Illinois United States Department of Human Development and Family Studies University of Illinois United States

To perform automatic family audio analysis, past studies have collected recordings using phone, video, or audio-only recording devices like LENA, investigated supervised learning methods, and used or fine-tuned general-purpose embeddings learned from large pretrained models. In this study, we advance the audio component of a new infant wearable multi-modal device called LittleBeats (LB) by learning family audio representation via wav2vec 2.0 (W2V2) pretraining. We show given a limited number of labeled LB home recordings, W2V2 pretrained using 1k-hour of unlabeled home recordings outperforms oracle W2V2 pretrained on 960-hour unlabeled LibriSpeech in terms of parent/infant speaker diarization (SD) and vocalization classifications (VC) at home. Extra relevant external unlabeled and labeled data further benefit W2V2 pretraining and fine-tuning. With SpecAug and environmental speech corruptions, we obtain 12% relative gain on SD and moderate boost on VC. Code and model weights are available. © 2023, CC BY.

关键词： Learning systems

Physical origin and boundary of scalable imaging through scattering media:a deep learning-based exploration

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Photonics Research 2023年第6期11卷 1038-1046页

作者： XUYU ZHANG SHENGFU CHENG JINGJING GAO YU GAN CHUNYUAN SONG DAWEI ZHANG SONGLIN ZHUANG SHENSHENG HAN PUXIANG LAI HONGLIN LIU School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093China Key Laboratory for Quantum Optics Shanghai Institute of Optics and Fine MechanicsChinese Academy of SciencesShanghai 201800China Department of Biomedical Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen 518000China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China Hangzhou Institute for Advanced Study University of Chinese Academy of SciencesHangzhou 310024China Photonics Research Institute The Hong Kong Polytechnic UniversityHong Kong SARChina

Imaging through scattering media is valuable for many areas,such as biomedicine and *** progress enabled by deep learning(DL)has shown superiority especially in the model ***,there is a lack of research to physically reveal the origin or define the boundary for such model scalability,which is important for utilizing DL approaches for scalable imaging despite scattering with high *** this paper,we find the amount of the ballistic light component in the output field is the prerequisite for endowing a DL model with generalization capability by using a“one-to-all”training strategy,which offers a physical meaning invariance among the multisource *** findings are supported by both experimental and simulated tests in which the roles of scattered and ballistic components are revealed in contributing to the origin and physical boundary of the model ***,the generalization performance of the network is enhanced by increasing the portion of ballistic photons in *** mechanism understanding and practical guidance by our research are beneficial for developing DL methods for descattering with high adaptivity.

关键词： generalization boundary media

A Framework for Automated Correctness Checking of Biochemical Protocol Realizations on Digital Microfluidic Biochips

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arXiv 2022年

作者： Bhattacharjee, Sukanta Banerjee, Ansuman Chakrabarty, Krishnendu Bhattacharya, Bhargab B. Department of Computer Science and Engineering Indian Institute of Technology Assam Guwahati781039 India Advanced Computing and Microelectronics Unit Indian Statistical Institute Kolkata700108 India Department of Electrical and Computer Engineering Duke University United States Department of Computer Science and Engineering National Institute of Technology Rourkela Odisha769008 India

Recent advances in digital microfluidic (DMF) technologies offer a promising platform for a wide variety of biochemical applications, such as DNA analysis, automated drug discovery, and toxicity monitoring. For on-chip implementation of complex bioassays, automated synthesis tools have been developed to meet the design challenges. Currently, the synthesis tools pass through a number of complex design steps to realize a given biochemical protocol on a target DMF architecture. Thus, design errors can arise during the synthesis steps. Before deploying a DMF biochip on a safety critical system, it is necessary to ensure that the desired biochemical protocol has been correctly implemented, i.e., the synthesized output (actuation sequences for the biochip) is free from any design or realization errors. We propose a symbolic constraint-based analysis framework for checking the correctness of a synthesized biochemical protocol with respect to the original design specification. The verification scheme based on this framework can detect several post-synthesis fluidic violations and realization errors in 2D-array based or pin-constrained biochips as well as in cyberphysical systems. It further generates diagnostic feedback for error localization. We present experimental results on the polymerase chain reaction (PCR) and in-vitro multiplexed bioassays to demonstrate the proposed verification approach. © 2022, CC BY.

关键词： Polymerase chain reaction