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Improved detection mechanism in MANETs using adaptive IP tracing mechanism

International Journal of Intelligent Networks 2020年 1卷 102-106页

作者： Mamade, Bayisa Kune Dhas, C. Suresh Gnana School of Informatics and Electrical Engineering Institute of Technology Ambo University Ethiopia Department of Computer Science Institute of Technology Ambo University Ethiopia

The network has enabled enormous volumes of services without any restrictions, different users need to have access to the service provided are more focused by malicious users. It is imperative to identify malicious entry or access to services, hence this paper discusses the various aspects of malicious access due to DDoS attacks and on how to detect it also this method uses the decisions made by hackers to manage the Traceback information science. In this paper, we consider the flash crowds based on the difference between DDoS attacks, a flash crowd is used to mitigate the DDoS attack. There is a tendency to see information on flux entropy variations on routers’ short-term and store them. Once the victim has been aware of a DDoS attack, the victim starts pushback tracing. The initial Traceback rule identifies its upstream routers where attacks have taken place and transmits the requests for Traceback to the upstream connected routers. If the flow rate is low, the low detection rule is initiated to trace the attackers and therefore the study is evaluated based on the instances where the packets are attacked by malicious users. The evaluation is conducted based on whether the packet traversed is malicious or normal and finally the accuracy of IP Traceback techniques and time complexity are tested. © 2020 The Author(s)

关键词： Entropy

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Effective Subject Representation based on Multi-omics Disease Networks using Graph Embedding

Effective Subject Representation based on Multi-omics Diseas...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Hussein, Sundous Vu, Thao Langel, Leslie Bowler, Russell P. Kechris, Katerina J. Banaei-Kashani, Farnoush University of Colorado Denver Department of Computer Science and Engineering DenverCO United States University of Colorado Anschutz Medical Campus Department of Biostatistics and Informatics AuroraCO United States National Jewish Health Division of Pulmonary Critical Care and Sleep Medicine DenverCO United States University of Colorado Anschutz Medical Campus Division of Biomedical Informatics and Personalized Medicine AuroraCO United States

ISBN: (纸本)9781665468190

The study of complex behavior of biological systems has become increasingly dependent on evolutionary network modeling. In particular, multi-omics networks capture interactions between biomolecules such as proteins and metabolites, providing a basis for predicting relationships between such biomolecules and various phenotypic traits of complex diseases. In this paper, we introduce an integrative framework that given a multi-omics network representing a cohort of subjects, learns expressive representations for network nodes, and combines the learned nodes representations with the biological profiles of individual subjects for enriched representation of the subjects. With extensive empirical evaluation using real-world multi-omics networks, we show that our proposed framework significantly outperforms existing and baseline methods in terms of subject representation accuracy, particularly when the multi-omics network representing the cohort is sparse and structured and therefore, more informative. © 2022 IEEE.

关键词： Biomolecules

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High-fidelity Event-Radiance Recovery via Transient Event Frequency

High-fidelity Event-Radiance Recovery via Transient Event Fr...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： Jin Han Yuta Asano Boxin Shi Yinqiang Zheng Imari Sato Graduate School of Information Science and Technology The University of Tokyo National Institute of Informatics National Key Laboratory for Multimedia Information Processing School of Computer Science Peking University National Engineering Research Center of Visual Technology School of Computer Science Peking University

High-fidelity radiance recovery plays a crucial role in scene information reconstruction and understanding. Conventional cameras suffer from limited sensitivity in dynamic range, bit depth, and spectral response, etc. In this paper, we propose to use event cameras with bio-inspired silicon sensors, which are sensitive to radiance changes, to recover precise radiance values. We reveal that, under active lighting conditions, the transient frequency of event signals triggering linearly reflects the radiance value. We propose an innovative method to convert the high temporal resolution of event signals into precise radiance values. The precise radiance values yields several capabilities in image analysis. We demonstrate the feasibility of recovering radiance values solely from the transient event frequency (TEF) through multiple experiments.

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Indoor Channel Characterization With Extremely Large Reconfigurable Intelligent Surfaces at 300 GHz

Indoor Channel Characterization With Extremely Large Reconfi...

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European Conference on Antennas and Propagation, EuCAP

作者： Fabio Cardoso Sérgio Matos Luís M. Pessoa George C. Alexandropoulos Department of Information Science and Technology University Institute of Lisbon Portugal Instituto de Telecomunicações Portugal INESC TEC Portugal Faculty of Engineering University of Porto Portugal Department of Informatics and Telecommunications National and Kapodistrian University of Athens Greece Department of Electrical and Computer Engineering University of Illinois Chicago IL USA

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

The technology of Reconfigurable Intelligent Surfaces (RISs) is lately being considered as a boosting component for various indoor wireless applications, enabling wave propagation control and coverage extension. However, the incorporation of extremely large RISs, as recently being considered for ultrahigh capacity industrial environments at subTHz frequencies, imposes certain challenges for indoor channel characterization. In particular, such RISs contribute additional multipath components and their large sizes with respect to the signal wavelength lead to near-field propagation. To this end, ray tracing approaches become quite cumbersome and need to be rerun for different RIS unit cell designs. In this paper, we present a novel approach for the incorporation of RISs in indoor multipath environments towards their efficient channel characterization. An 100 × 100 RIS design with 2-bit resolution unit cells realizing a fixed anomalous reflection at 300 GHz is presented, whose radar cross section patterns are obtained via full-wave simulations. It is showcased that the RIS behavior can be conveniently approximated by a three-ray model, which can be efficiently incorporated within available ray tracing tools, and that the far-field approximation is valid for even very small distances from the RIS.

关键词： Wireless communication Indoor communication Radar cross-sections Europe Reconfigurable intelligent surfaces Ray tracing Boosting Antennas and propagation Terahertz communications

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The Effect of Preprocessing on Skin Lesion Segmentation

The Effect of Preprocessing on Skin Lesion Segmentation

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International Conference on Information Technology (INCIT)

作者： Arief Kelik Nugroho Afiahayati Moh Edi Wibowo Hardyanto Soebono Department of Computer Science and Electronics Faculty of Mathematics and Natural Science Universitas Gadjah Mada Yogyakarta Indonesia Department of Informatics Engineering Faculty of Engineering Universitas Jenderal Soedirman Purwokerto Indonesia Department of Dermatology and Venereology Faculty of Medicine Public Health and Nursing Universitas Gadjah Mada Yogyakarta Indonesia

ISBN: (数字)9798350366303

ISBN: (纸本)9798350366310

Image preprocessing is a crucial step in enhancing the quality of skin lesion images before segmentation, with the primary objective of removing noise and artifacts that could interfere with the segmentation process and reduce accuracy. This process involves various techniques designed to address artifacts such as hair, black frames, skin lines, and vignettes, which may arise due to variables in image acquisition, such as lighting conditions and skin characteristics. Several preprocessing techniques used include artifact removal using Gaussian filter, bottom hat filter, and median filter, as well as hair removal methods like DullRazor and short line detector. Image augmentation techniques, such as rotation and transformation, are also employed to ensure that key features in the image are well preserved and accurately reflected in the data, helping to prevent overfitting during the classification stage. Additionally, contrast enhancement through methods like Contrast-Limited Adaptive Histogram Equalization (CLAHE) and gamma correction is used to improve lesion visibility and enhance the accuracy of lesion boundary detection. Findings from various studies indicate that appropriate preprocessing can significantly improve image quality, leading to more accurate segmentation. Descriptive statistical testing can be employed to analyze the extent to which these preprocessing steps affect segmentation outcomes, focusing on accuracy improvements and the reduction of segmentation errors caused by artifacts and noise in the images. Thus, effective preprocessing not only enhances image quality but also provides a stronger foundation for more accurate segmentation and classification in skin lesion diagnosis.

关键词： Hair Image quality Image segmentation Accuracy Statistical analysis Noise Lighting Skin Lesions Overfitting

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Minimum Mean Squared Error Holographic Beamforming for Sum-Rate Maximization

arXiv

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arXiv 2025年

作者： Sheemar, Chandan Kumar Khan, Wali Ullah Alexandropoulos, George C. Ahmed, Manzoor Chatzinotas, Symeon SnT department The University of Luxembourg Luxembourg Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens16122 Greece School of Computer and Information Science Institute for AI Industrial Technology Research Hubei Engineering University Xiaogan City432000 China

This paper studies the problem of hybrid holographic beamforming for sum-rate maximization in a communication system assisted by a reconfigurable holographic surface. Existing methodologies predominantly rely on gradient-based or approximation techniques necessitating iterative optimization for each update of the holographic response, which imposes substantial computational overhead. To address these limitations, we establish a mathematical relationship between the mean squared error (MSE) criterion and the holographic response of the RHS to enable alternating optimization based on the minimum MSE (MMSE). Our analysis demonstrates that this relationship exhibits a quadratic dependency on each element of the holographic beamformer. Exploiting this property, we derive closed-form optimal expressions for updating the holographic beamforming weights. Our complexity analysis indicates that the proposed approach exhibits only linear complexity in terms of the RHS size, thus, ensuring scalability for large-scale deployments. The presented simulation results validate the effectiveness of our MMSE-based holographic approach, providing useful insights. © 2025, CC BY.

关键词： Iterative methods

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Tensorized Incomplete Multi-View Kernel Subspace Clustering

SSRN

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SSRN 2023年

作者： Zhang, Guang-Yu Huang, Dong Wang, Chang-Dong College of Mathematics and Informatics South China Agricultural University China School of Computer Science and Engineering Sun Yat-sen University China Guangdong Key Laboratory of Information Security Technology China

Recently considerable advances have been achieved in the incomplete multi-view clustering (IMC) research. However, the current IMC works are still faced with three challenging issues. First, they mostly lack the ability to recover the nonlinear subspace structure hidden in the multiple kernel spaces. Second, they usually neglect the high-order correlation contained in heterogeneous views. Third, many of them have three or even more hyper-parameters and may not be practical for some realistic applications. To tackle these issues, we present a new subspace clustering approach for incomplete multi-view data, namely Tensorized Incomplete Multiview Kernel subspace Clustering (TIMKC). By incorporating the kernel learning technique into an incomplete subspace clustering framework, our approach can robustly explore the latent subspace structure hidden in multiple views. Furthermore, the proposed approach imputes the incomplete kernel matrices and learns the low-rank tensor representations in a mutual enhancement manner. Notably, our approach can discover the underlying relationship among observed samples and missing samples, while capturing the high-order complementary information for robust subspace clustering. For solving the optimization model, we design a three-step algorithm to efficiently minimize the unified objective function, which only has one hyper-parameter to be adjusted. Experiments on various incomplete multi-view datasets demonstrate the superiority of our TIMKC approach. © 2023, The Authors. All rights reserved.

关键词： Tensors

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Hybrid Energy System Analysis for a Swimming Pool Complex using HOMER Pro

Hybrid Energy System Analysis for a Swimming Pool Complex us...

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International Universities Power engineering Conference (UPEC)

作者： Timea Farkas Paula Unguresan Mihaela Cretu Denisa Stet Levente Czumbil Andrei Ceclan Claudia Muresan Alexis Polycarpou Dan D. Micu Energy Transition Research Center Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Electrical Engineering Computer Engineering and Informatics Frederick University Nicosia Cyprus

ISBN: (数字)9781665455053

ISBN: (纸本)9781665455060

The paper investigates hybrid energy systems that could be applied in case of a swimming pool complex in order to reduce exploitation costs and increase renewable energy usage. The presented approach starts with the assessment of the chosen building at the level of energy consumption, and utility costs, along with two proposed system configurations: one proposed by the RE-COGNITION innovation project, and one proposed by the authors based on the market solutions. The mentioned cases represent two hybrid energy systems using conventional sources, renewable energy, and highly efficient cogeneration units. The two proposed system configurations are simulated using the HOMER Pro program which allows a wide analysis along with techno-economic indicators of the different scenarios. Results and comparisons are presented to highlight the feasibility of the two proposed cases.

关键词： Renewable energy sources Analytical models Technological innovation Costs Technical management Sensitivity analysis Wind speed

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Sharding:A Scalability Solutions for Blockchain Networks

Sharding:A Scalability Solutions for Blockchain Networks

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Blockchain and Distributed Systems Security (ICBDS), IEEE International Conference on

作者： Dattatray Raghunath Kale Amolkumar N Jadhav Kruishna Prasad K Somanath Janardan Salunkhe Sumit Hirve Chandrashekhar Goswami Department of Computer Science & Engg MIT School of Computing MIT Art Design and Technology University Pune India Department of Computer Science & Engg Annasaheb Dange College of Engineering and Technology Ashta India Department of Computer Science & Engg Shrinivas University Mangalore India Department of Computer Science & Engg D Y Patil Agriculture and Technical University India Faculty of Computing and Informatics Sir Padampat Singhania University Udaipur Rajasthan

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

Blockchain technology's decentralized and immutable data storage has changed a number of sectors. But typical blockchain networks scalability issues prevent them from being widely used for large-scale applications. By dividing the blockchain network into smaller, more controllable sections known as shards, sharding has become a viable remedy for scalability issues. This paper offers a thorough introduction to sharding as a blockchain network scalability solution. We explore the basic ideas of sharding as well as its advantages, drawbacks, and several sharding strategies. We also analyze experimental results and real-world implementations to assess how well sharding contributes to increased blockchain scalability. Lastly, we talk about possible developments in sharding approaches and future research paths to further improve the scalability of blockchain networks.

关键词： Industries Sharding Scalability Memory Throughput Blockchains Security

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Proposed New Framework Scheme for Path Loss in Wireless Body Area Network

Iraqi Journal for Computer Science and Mathematics

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Iraqi Journal for computer Science and Mathematics 2022年第1期3卷 11-21页

作者： Al-Barazanchi, Israa Niu, Yitong Abdulshaheed, Haider Rasheed Hashim, Wahidah Alkahtani, Ammar Ahmed Daghighi, Elika Jaaz, Zahraa A. Shawkat, Shihab A. Rauf, Hafiz Tayyab College of Computing and Informatics Universiti Tenaga Nasional Malaysia Belarusian-Russian University Mira Avenue 43 Mogilev212000 Belarus Computer Engineering Techniques Department Baghdad College of Economic Sciences University Baghdad Iraq Institute of Sustainable Energy Universiti Tenga Nasional Selangor Kajang43000 Malaysia Technical and Vocational University Tehran Iran College of Science Computer Department AlNahrain University Baghdad Iraq University of Samarra Samarra Iraq Centre for Smart Systems AI and Cybersecurity Staffordshire University Stoke-on-Trent United Kingdom

Recent technical developments in wi-fi networking, microelectronic integration and programming, sensors and the Internet have enabled us to create and enforce a range of new framework schemes to fulfil the necessities of healthcare-related wireless body area network (WBAN). WBAN sensors continually screen and measure patients' indispensable signs and symptoms, and relay them to scientific monitoring for diagnosis. WBAN has a range of applications, the most necessary of which is to help patients suffering diseases to stay alive. The quality instance is the coronary heart implant sensor, whose video display unit monitors coronary heart sign and continuously transmits it. This setup eliminates the need for patients to visit the medical doctor frequently. Instead, they can take a seat at home and acquire an analysis and prescription for the disease. Today, a sizable effort is being made to increase low-power sensors and gadgets for utility in WBAN. A new framework scheme that addresses route loss in WBAN and discusses its penalties in depth is endorsed in this paper. The new framework scheme is applied to three case scenarios to obtain parameters by measuring vital information about the human body. On-body and intrabody conversation simulations are conducted. On-body conversation findings show that the route loss between transmitter and receiver rises with growing distance and frequency. © 2022 College of Education, Al-Iraqia University. All Rights Reserved.

关键词： Heart

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