標(biāo)題: Titlebook: Handbook of Big Data Privacy; Kim-Kwang Raymond Choo,Ali Dehghantanha Book 2020 Springer Nature Switzerland AG 2020 cyber threat.cyber sec [打印本頁(yè)] 作者: Concave 時(shí)間: 2025-3-21 19:11
書(shū)目名稱Handbook of Big Data Privacy影響因子(影響力)
書(shū)目名稱Handbook of Big Data Privacy影響因子(影響力)學(xué)科排名
書(shū)目名稱Handbook of Big Data Privacy網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Handbook of Big Data Privacy網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Handbook of Big Data Privacy被引頻次
書(shū)目名稱Handbook of Big Data Privacy被引頻次學(xué)科排名
書(shū)目名稱Handbook of Big Data Privacy年度引用
書(shū)目名稱Handbook of Big Data Privacy年度引用學(xué)科排名
書(shū)目名稱Handbook of Big Data Privacy讀者反饋
書(shū)目名稱Handbook of Big Data Privacy讀者反饋學(xué)科排名
作者: 廢墟 時(shí)間: 2025-3-21 20:58 作者: Cervical-Spine 時(shí)間: 2025-3-22 00:57
Darmerkrankungen bei HIV-Infektion und Aidsel of the network at early design phases. Through five different case studies, we have demonstrated the application of this scheme. This chapter explain the way this scheme may be used to evaluate and assess the security in different scenarios. These case studies also help in endorsing the usability作者: 調(diào)整 時(shí)間: 2025-3-22 05:05 作者: 尋找 時(shí)間: 2025-3-22 11:44
Coronarinsuffizienz und Herzinfarktrity program that should be used to achieve this goal, the types of crime and cyber wars are known and adopted strategies to overcome them in FinTech-banking as big data media. Big data, both in the real world and in cyberspace, is the most significant challenges in managing large volumes of informa作者: 都相信我的話 時(shí)間: 2025-3-22 15:28
https://doi.org/10.1007/978-3-662-10479-8ster to learn local metrics within each cluster to apply a robust nearest neighbor classifier. The empirical results on NSL-KDD dataset demonstrate that our model outperforms previous models designed to detect two major harmful attacks (U2R and R2L).作者: 被告 時(shí)間: 2025-3-22 19:59 作者: Root494 時(shí)間: 2025-3-22 23:39 作者: 聯(lián)想記憶 時(shí)間: 2025-3-23 01:29 作者: Coronation 時(shí)間: 2025-3-23 09:32
network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks.?978-3-030-38559-0978-3-030-38557-6作者: Gerontology 時(shí)間: 2025-3-23 10:34 作者: conspicuous 時(shí)間: 2025-3-23 16:28
Artificial Intelligence and Security of Industrial Control Systems,med in order to accelerate or slow down ICS operations post such specialized attacks. This may result in total industrial equipment being destroyed or permanently damaged, or also may endanger personnel’s life who is working at the ICS site. This chapter surveys about the latest research and methodo作者: narcotic 時(shí)間: 2025-3-23 18:53 作者: GORGE 時(shí)間: 2025-3-23 23:40
Big Data Application for Security of Renewable Energy Resources,ent aspects of security are summarized in the same context while RES is specifically addressed. Next, we introduce big data and finally, a relation between big data and security aspect of using RES is discussed.作者: malapropism 時(shí)間: 2025-3-24 04:12
A Survey on Application of Big Data in Fin Tech Banking Security and Privacy,rity program that should be used to achieve this goal, the types of crime and cyber wars are known and adopted strategies to overcome them in FinTech-banking as big data media. Big data, both in the real world and in cyberspace, is the most significant challenges in managing large volumes of informa作者: 縮影 時(shí)間: 2025-3-24 09:43
A Hybrid Deep Generative Local Metric Learning Method for Intrusion Detection,ster to learn local metrics within each cluster to apply a robust nearest neighbor classifier. The empirical results on NSL-KDD dataset demonstrate that our model outperforms previous models designed to detect two major harmful attacks (U2R and R2L).作者: Obedient 時(shí)間: 2025-3-24 13:41
Malware Elimination Impact on Dynamic Analysis: An Experimental Machine Learning Approach,d in this regard eliminate many of the samples for such reasons as the corruption of the file or lack of proper running as well as some other reasons. This makes the results be unreliable in the real world because it is possible to infect the system by a malware like omitted instances. This chapter 作者: acrophobia 時(shí)間: 2025-3-24 16:17 作者: craving 時(shí)間: 2025-3-24 22:43
Active Spectral Botnet Detection Based on Eigenvalue Weighting,ve approach. Next, we propose a new method that leverages a combination of eigenvalues and eigenvectors. Furthermore, a new metric is introduced to compare active spectral algorithms by considering the directions of most important eigenvectors of queried matrix related to a complete matrix.作者: Cleave 時(shí)間: 2025-3-25 01:32 作者: Missile 時(shí)間: 2025-3-25 04:50 作者: TIA742 時(shí)間: 2025-3-25 10:05 作者: 多余 時(shí)間: 2025-3-25 14:02
978-3-030-38559-0Springer Nature Switzerland AG 2020作者: Etching 時(shí)間: 2025-3-25 16:02
https://doi.org/10.1007/978-3-030-38557-6cyber threat; cyber security; privacy; big data; threat intelligence; machine learning; cyber forensics; in作者: Adulate 時(shí)間: 2025-3-25 22:24 作者: 芭蕾舞女演員 時(shí)間: 2025-3-26 01:49
Therapie des Harnblasenkarzinomsw recent ML-based approaches on IoT systems, in which a set of common issues and challenges are discussed. Our review might provide new research directions about machine learning mechanisms on the internet of things for interested researchers and developers.作者: 傻 時(shí)間: 2025-3-26 04:58 作者: chemical-peel 時(shí)間: 2025-3-26 10:23 作者: 傾聽(tīng) 時(shí)間: 2025-3-26 12:55
Applications of Big Data Analytics and Machine Learning in the Internet of Things,w recent ML-based approaches on IoT systems, in which a set of common issues and challenges are discussed. Our review might provide new research directions about machine learning mechanisms on the internet of things for interested researchers and developers.作者: 支形吊燈 時(shí)間: 2025-3-26 19:59
Anomaly Detection in Cyber-Physical Systems Using Machine Learning,dvantages and disadvantages of these techniques. Finally, in this chapter Machine Learning (ML) methods for detection of anomalies are presented through a case study which demonstrates the effectiveness of machine learning techniques at classifying False Data Injection (FDI) attacks.作者: VEIL 時(shí)間: 2025-3-26 23:40
Die operative Behandlung des Mammakarzinoms,applications. Comparing ten machine learning models, this chapter demonstrates that the Radial Basis Function (RBF) Support Vector Machine (SVM) and Naive Bayes outperform other models while Linear SVM and Random Forest fail to recognize malicious codes accurately.作者: OGLE 時(shí)間: 2025-3-27 03:59 作者: aesthetician 時(shí)間: 2025-3-27 08:09 作者: 勉強(qiáng) 時(shí)間: 2025-3-27 13:18 作者: 沉著 時(shí)間: 2025-3-27 14:20 作者: Nomogram 時(shí)間: 2025-3-27 17:45
Privacy and Security in Smart and Precision Farming: A Bibliometric Analysis,cations of ISI Web of Science database are considered which was about 150 between 2008 and 2018. By using bibliometric analysis, the number of publications along with the number of citations discusses. This paper also presents analysis by focusing on countries and continents, research areas, authors, institutions, terms and keywords.作者: 有法律效應(yīng) 時(shí)間: 2025-3-28 00:54 作者: Conducive 時(shí)間: 2025-3-28 05:09
d IoT security, privacy, and forensics.Presents an up-to-datThis handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first pa作者: 反復(fù)無(wú)常 時(shí)間: 2025-3-28 10:14
Soldaten nach milit?rischen Eins?tzenon their application circumstances. Hence, it is essential to design and implement systematic privacy characterization and computational models and analyze different aspects, including protection level, profit or loss, complexity, etc. The purpose of this handbook is to explore challenges and solutions relating to big data privacy.作者: elastic 時(shí)間: 2025-3-28 11:25
https://doi.org/10.1007/978-3-662-09391-7ing these threats. Varying sources of threats are defined and discussed. Furthermore, challenges associated with the use of AI are highlighted and discussed. Technical solutions tackling regularization and scalability of intelligent systems are also outlined.作者: FIS 時(shí)間: 2025-3-28 17:22 作者: Junction 時(shí)間: 2025-3-28 22:13 作者: judiciousness 時(shí)間: 2025-3-29 01:56 作者: harmony 時(shí)間: 2025-3-29 06:44 作者: Spirometry 時(shí)間: 2025-3-29 10:23
Enhancing Network Security Via Machine Learning: Opportunities and Challenges,uming. Hence, the use of tools and techniques provided to us through big data can assist in the analysis and storage of data in intrusion detection systems to help reduce both processing and training time. This document presents a review of the work related to network security via machine learning.作者: 代替 時(shí)間: 2025-3-29 11:23
Privacy Preserving Abnormality Detection: A Deep Learning Approach,convolutional neural networks are among the first choices for medical images analysis. This paper use one of the largest dataset of open-source musculoskeletal radiographs (MURA) for abnormality detection of thousands of musculoskeletal radiographs based on the deep learning to build models for detecting and localizing the abnormalities.作者: pacifist 時(shí)間: 2025-3-29 17:28 作者: mitral-valve 時(shí)間: 2025-3-29 21:07
https://doi.org/10.1007/978-3-662-09391-7 vulnerabilities to cyber threats with potentially severe impacts. As such, security is a crucial concern in critical infrastructure. This chapter discusses the security concerns surrounding today’s critical infrastructure as well as the use of artificial intelligence (AI) for mitigating and prevent作者: 模范 時(shí)間: 2025-3-30 00:53
Stefanie Losekam,Carsten Konradd data analysis exist in Industry 4.0 with few solutions to handle processing large amounts of data. The data needs to be processed, analyzed and secured to help improve the systems efficiency, safety and scalability. Hence, a new approach is needed to support industrial big data analytics. Industry作者: 離開(kāi)就切除 時(shí)間: 2025-3-30 07:07
Histopathology of Endometrial Cancerrt meters, smart supplies, renewable energy sources and efficient . sources. All these facilities and systems in smart grid, are integrated to provide a supervised and two-way commutation network for the grid. This new infrastructure of developing power distribution grid, utilizes a digital collecti作者: Carcinogen 時(shí)間: 2025-3-30 11:28 作者: conformity 時(shí)間: 2025-3-30 16:16
Die operative Behandlung des Mammakarzinoms,o enhance the quality and scope of their digital services. A wide range of attacks are targeting the Internet of Things to degrade its performance, security and privacy using malicious programs. It is crucial to provide robust and accurate approaches to mitigate the adverse effect of such attacks. T作者: grovel 時(shí)間: 2025-3-30 18:02
Erkrankungen der Knochen und Gelenke,his real-time data demonstrates whether additional attention to system is needed and requirements in terms of resources, performance, or improvements are being met. Cyber threat actors have become exceptionally skilled at infiltrating their victim targets. Industrial Control Systems (ICS) are also r作者: Ornament 時(shí)間: 2025-3-30 23:47 作者: 是貪求 時(shí)間: 2025-3-31 04:30
Darmerkrankungen bei HIV-Infektion und Aidsensor network security. Most of the research in this area only deals with vulnerabilities, attacks and countermeasures. However, considering security of WSN as a comprehensive unit in the practical deployment of CPS is still missing. The need for the system engineers is to be able to assess the perf作者: unstable-angina 時(shí)間: 2025-3-31 07:38 作者: 繞著哥哥問(wèn) 時(shí)間: 2025-3-31 10:03 作者: 冷峻 時(shí)間: 2025-3-31 16:19
https://doi.org/10.1007/978-3-642-61017-2said system. CPS enables the organizations to live monitor networks, patients, and systems. This live monitoring, generates vast amount of data everyday and makes the new title called big-data. The data, itself without any processing, is useless, so, machine learning and data mining techniques are r作者: 拱墻 時(shí)間: 2025-3-31 18:39 作者: OTTER 時(shí)間: 2025-3-31 21:55
https://doi.org/10.1007/978-3-642-66689-6e of data in its environment. Most studies aim to present novel solutions for providing a framework or an application to protect data and prevent data breach. However, in spite of many articles to support research activities, there is still no publication of bibliometric report that considers the re作者: 不朽中國(guó) 時(shí)間: 2025-4-1 02:57
