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Detecting and Analyzing Threats for Network Traffic Control using Machine Learning Approaches 3

Detecting and Analyzing Threats for Network Traffic Control ...

引用

3rd International Conference on Innovative Sustainable Computational Technologies, CISCT 2023

作者： Mathur, Richa Dutta, Ritam Poornima University Dept. of Computer Science & Engineering Rajasthan Jaipur303905 India

ISBN: (纸本)9798350303360

Today big data playing pivotal role in helping mankind with large amount of dataset that can be beyond human perception. Big data is ultra-fast and growing rapidly. This data is more valuable because it has hidden facts and insights after its process. But various challenges exist when we deal with such data with the help of traditional tools and technologies. Earlier the traditional network security solutions were insufficient to address different kinds of threats and network attacks. To resolve and restrict cyber threats and attacks is the most increasing concern in today's world of cyber security. With the advent of Machine Learning (ML) technology, an automated and up-to-date security system has been provided through which we can detect, analyze and secure data for network traffic and cyber security. In this paper, a comprehensive analysis on various machine learning algorithms have been investigated to identify the glitches and provides intelligent data analysis report and automation in cybersecurity to extract valuable insights from cyber data. © 2023 IEEE.

关键词： Cybersecurity

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A survey of methods guaranteeing user privacy based on blockchain in internet-of - things 2019

A survey of methods guaranteeing user privacy based on block...

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2nd International Conference on Data science and Information Technology, DSIT 2019

作者： Sharma, Mansi Lim, Jongtae Dept. of Computer Science and Engineering Kongju National University Cheonan Korea Republic of

ISBN: (纸本)9781450371414

The emerging technology that is the internet of things (IOT) has attracted both the industrial sector and the academic sector. In the industrial sector like transportation, healthcare, smart cities and energy systems, this IOT technology will be important. However, there are many problems to be solved. One of the problems is that security must be guaranteed. For safe security, we are considering two privacy issues which are mostly encountered in the field of IOT that is device authentication and decentralized identifiers. To provide device authentication and decentralized identifiers, the Blockchain technology can be applied to. This paper survey the related work for device authentication and decentralized identifiers in the IOT. © 2019 Association for Computing Machinery.

关键词： Internet of things

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Slotted wavelength scheduling for bulk transfers in research networks

Slotted wavelength scheduling for bulk transfers in research...

引用

38th International Conference on Parallel Processing, ICPP-2009

作者： Wang, Zhe Ranka, Sanjay Xia, Ye Dept. of Computer and Information Science and Engineering University of Florida Gainesville United States

ISBN: (纸本)9780769538020

The advancement of optical network technologies has enabled data-intensive e-science collaborations, which often require the transfer of large files with predictable performance. To support such applications, we design and evaluate two algorithms for scheduling time-constrained bulk transfers on wavelength-based optical research networks. The first one seeks to maximize the network throughput while maintaining a level of fairness among the jobs. The second algorithm works in an overloaded network and serves as an alternative to the first algorithm. It seeks to extend the end times by the smallest possible proportion and complete all the jobs by the extended end times. The main challenge is that the underlying problems are integer optimization problems for wavelength assignment, which have no known fast optimal solutions. We present a heuristic sub-algorithm called LPDAR, which converts fractional solutions from linear programming into integer solutions. LPDAR is the key component used in both aforementioned algorithms. Evaluation shows that LPDAR leads to very good algorithms with a performance level and speed both comparable to those of the LP fractional solutions. © 2009 IEEE.

关键词： Linear programming

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A memory copy reduction scheme for networked multimedia service in linux kernel

引用

1st EurAsian Conference on Advances in Information and Communication Technology, EurAsia-ICT 2002

作者： Kim, Jeong Won Lho, Young Uhg Kim, Young Ju Kim, Kwang Baek Lee, Seung Won Dept. of Computer and Information Engineering Silla Univ. Korea Republic of Dept. of Computer Education Silla Univ. Korea Republic of Dept. of Computer Engineering Silla Univ. Korea Republic of Dept. of Computer Science Pusan National Univ. Korea Republic of

ISBN: (纸本)3540000283

While Multimedia streams need an efficient support of kernel, the current buffer cache mechanism of Linux kernel originally based on the Unix operating system is designed apt for small files, which are aperiodically requested and time-uncritical. But, in case of continuous media, the overhead of CPU occurs for large copying memory from kernel address space to user address space. This overhead both degrades system throughputs and cannot guarantee QOS. In this paper, we've designed and implemented two memory copy reduction schemes in Linux kernel, direct I/O and one-copy. The direct I/O path skips the buffer cache layer of Linux kernel and directly copies the disk blocks to the user buffer. And, the one-copy provides fast disk-to-network data path without copying to user address space. These enhancements should increase the throughputs of VOD server. The experimental results demonstrate throughput improvements and show considerable reduction of CPU overhead. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Cache memory

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Data Analytics in Wind Turbine Generators for Improving Efficiency

Data Analytics in Wind Turbine Generators for Improving Effi...

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2022 International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022

作者： Sankineni, Preethi Vahitha Grace, Angeline Holyah M. Juliet, Sujitha Lincy Esther, U. Joanna, J. Karunya Institute of Technology and Sciences Dept. of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665478847

Wind energy being a notable and eligible source, has the possibility for bringing out energy in a very constant and sustainable manner. However, wind energy does include numerous challenges like, the halted asset of wind plants, early investment costs, and the strain in discovering areas of wind efficiency. The major objective for proposing this work is to determine the power efficiency of wind turbines, which also aids in the formulation of a proposal to reduce wind turbine maintenance costs. During this research, data analysis of turbine generators is performed on day-to-day wind speed info using machine learning and deep learning algorithms. A way is put forward to support deep learning and machine learning algorithms which can predict different values of power reliably. Hence, the execution of machine and deep learning algorithms are analyzed. For forecasting for a longer term, these algorithms may be used for wind generation rate with historical relation to wind speed info. Moreover, the application of deep and machine learning-based models is place distinct to that of model-trained places. This data analysis demonstrates that in unspecified geographies of wind plants, these sets of algorithms could be successfully implied by utilizing the base location model. The entire project focuses on wind turbine generators and includes the use of data visualization of data analytics to analyze the data and detect the factors that influence wind power generation. With the support of previous data output, wind power is anticipated using both machine learning and deep learning models, where different datasets are used for training and testing. This adds to the uniqueness of this work. © 2022 IEEE.

关键词： Wind power

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News comments generation via mining microblogs

News comments generation via mining microblogs

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21st Annual Conference on World Wide Web, WWW'12

作者： Cao, Xuezhi Chen, Kailong Long, Rui Zheng, Guoqing Yu, Yong Dept. of Computer Science and Engineering Shanghai Jiao-Tong University Shanghai China

ISBN: (纸本)9781450312301

Microblogging websites such as Twitter and Chinese Sina Weibo contain large amounts of microblogs posted by users. Many of these microblogs are highly sensitive to the important real-world events and correlated to the news events. Thus, microblogs from these websites can be collect as comments for the news to reveal the opinions and attitude towards the news event among large number of users. In this paper, we present a framework to automatically collect relevant microblogs from microblogging websites to generate comments for popular news on news websites. Copyright is held by the author/owner(s).

关键词： Social networking (online)

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Comparative Study of Emerging Internet-of-Things in Traffic Management System 5

Comparative Study of Emerging Internet-of-Things in Traffic ...

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5th International Conference on Trends in Electronics and Informatics, ICOEI 2021

作者： Agarwal, Piyush Matta, Priya Sharma, Sachin Graphic Era Deemed to Be University Dept. of Computer Science and Engineering Dehradun India

ISBN: (纸本)9781665415712

In recent years, the Internet-of-Things (IoT)-based traffic management system (ITMS) has attracted the attention of researchers from different fields, such as the automotive industry, academia and traffic management, due to its ability to enhance road safety and improve traffic efficiency. ITMS uses the Vehicle Ad-hoc Network (VANET) to communicate messages about traffic conditions or the event on the route to ensure the safety of the commuter. ITMS uses wireless communication technology for communication between different devices. Wireless communication has challenges to privacy and security. Challenges such as confidentiality, authentication, integrity, non-repudiation, identity, trust are major concerns of either security or privacy or both. This paper discusses the features of the traffic system, the features of the traffic management system (TMS) and the features of IoT that can be used in TMS with its challenges. Further, this paper analyses the work done in the last few years with the future scope of IoT in the TMS. © 2021 IEEE.

关键词： Vehicular ad hoc networks

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Impulse Noise Removal from Digital Images by Using Edge Preserved Morphological Mean Filter

Impulse Noise Removal from Digital Images by Using Edge Pres...

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2018 International CET Conference on Control, Communication, and Computing, IC4 2018

作者： Shams, P. Shehin Kumar, K.S. Vipin Dept. of Computer Science Engineering Govt. Engineering College Trichur Thrissur Kerala India

ISBN: (纸本)9781538649664

An edge preserved morphological mean filter oriented image restoration system is proposed. It targets the images excessively corrupted by impulse noise. Averaging filter is the usual choice for this purpose. However, it is desperate for disposing of excessive-density noise. Most of the methods do not give importance to edge preservation. The proposed restoration technique comprises two phases. Those are identification of corrupted pixels and reconstruction of those corrupted pixels. Usually a center sliding window is used for this purpose. An absolute directional difference of the pixels is used in the first phase of the method to recognize the pixel values influenced by shot noise. For this purpose an edge preserved model using a Gaussian kernel is followed. An edge prediction technique is also used. In next stage, the morphological dilation operation is used to replace the neighborhood noise pixels. Also, this technique is applied to both color and grayscale images and analyses their efficiency. © 2018 IEEE.

关键词： Pixels

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Plant Disease Detection using Convolutional Neural Network

Plant Disease Detection using Convolutional Neural Network

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2024 International Conference on Smart Devices, ICSD 2024

作者： Agarwal, Jyoti Naithani, Shivansh Singh, Utkarsh Raj, Harsh Graphic Era Deemed to be University Dept. of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350394412

Pest-infested plants and crops have a negative effect on the nation's agricultural output. To detect and identify diseases in plants, farmers or other experts must keep a careful watch on plants. However, this method is frequently expensive, time-consuming, and inaccurate. Finding a spot on the leaves of the infected plant is one method of detecting plant diseases. This research aims to develop a disease detection model based on the classification of leaf images. To detect plant illnesses the proposed model utilizes image processing with a convolution neural network (CNN). This research work focus on three different plant diseases: tomato, corn and potato. Experimental results show high accuracy rate of 98.8%. Proposed work is also compared with some existing work working o same plants diseases. © 2024 IEEE.

关键词： Support vector regression

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Smart home at a finger tip: OSGi-based MyHome

Smart home at a finger tip: OSGi-based MyHome

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2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009

作者： Huang, Hsuan-Yu Teng, Wei-Chung Chung, Sheng-Luen Dept. of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan Dept. of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9781424427949

This paper introduces MyHome, a framework of smart home by which household information is all at a finger tip. Through adopting Message Oriented Middleware (MOM) and Open Service Gateway Initiative (OSGi) technologies, MyHome offers reliable automatic operations, fault tolerant and configurable home automation, high extensibility and large scalability. In its design, MyHome system is composed of a residential gateway MyServer and Internet accessible GUI MyIcon and MyMobile. MyServer is used to provide services regarding home security, inventory tracking, facility management, GPS location recording and family care. Inherently an interactive and multitasking system driven by peripherals connected through wireless sensor networks, the overall MyServer architecture is designed with six core service modules operating on a MOM. Each of these modules is designed as an OSGi bundles and is implemented by a programming template utilizing event publish/subscribe messaging mechanism. To facilitate program demonstration, simulator and scenario editor are also developed. A successful implementation of the proposed MyServer is also demonstrated in an emulated home environment where peripherals are connected through ZigBee wireless sensor network with data integrated into a database. With these clearly defined service modules and pertinent infrastructure to integrate household peripherals, this paper presents a practical approach to the implementation of a smart home. ©2009 IEEE.

关键词： Wireless sensor networks

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