標(biāo)題: Titlebook: Artificial Intelligence for Security; Enhancing Protection Tuomo Sipola,Janne Alatalo,Tero Kokkonen Book 2024 The Editor(s) (if applicable) [打印本頁] 作者: 游牧 時(shí)間: 2025-3-21 19:03
書目名稱Artificial Intelligence for Security影響因子(影響力)
書目名稱Artificial Intelligence for Security影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence for Security網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence for Security網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence for Security被引頻次
書目名稱Artificial Intelligence for Security被引頻次學(xué)科排名
書目名稱Artificial Intelligence for Security年度引用
書目名稱Artificial Intelligence for Security年度引用學(xué)科排名
書目名稱Artificial Intelligence for Security讀者反饋
書目名稱Artificial Intelligence for Security讀者反饋學(xué)科排名
作者: 微生物 時(shí)間: 2025-3-22 00:02 作者: JAUNT 時(shí)間: 2025-3-22 00:40 作者: LAIR 時(shí)間: 2025-3-22 06:52
http://image.papertrans.cn/b/image/167585.jpg作者: sinoatrial-node 時(shí)間: 2025-3-22 12:40
https://doi.org/10.1007/978-1-4419-9356-4ncreasingly difficult to distinguish whether we are dealing with real, human-generated content or fictitious works. Nevertheless, these developments show the possibilities that artificial intelligence offers and new potential applications for companies and society. The challenges of our time, such a作者: Parallel 時(shí)間: 2025-3-22 14:48 作者: 開玩笑 時(shí)間: 2025-3-22 17:32
Empirical examination of comprehensibilityeoretical, and relational proof of privacy, which makes it important to understand the actual behavior of the DP-based protection models. For this purpose, we will review what kind of frameworks or models are available to estimate how well an implemented differential privacy model works. Special att作者: 高腳酒杯 時(shí)間: 2025-3-22 23:38 作者: deface 時(shí)間: 2025-3-23 02:31
https://doi.org/10.57088/978-3-7929-9120-6ate and apply knowledge. Within this context, knowledge acquisition and creation take precedence over the mere generation and consumption of information. Information technology and intelligent software systems play a crucial role in ensuring the efficiency of knowledge discovery, aligning with the k作者: HEDGE 時(shí)間: 2025-3-23 05:47 作者: 詞匯 時(shí)間: 2025-3-23 12:39
Stephen G. Sireci,Ella Banda,Craig S. Wellsapplication domains, including critical infrastructures. While these systems offer numerous benefits, they are vulnerable to cyberattacks that can physically harm individuals and damage the environment. Hence, securing CPS is a critical issue. In this context, artificial intelligence (AI) is playing作者: Osteoarthritis 時(shí)間: 2025-3-23 17:05 作者: Osteoporosis 時(shí)間: 2025-3-23 20:32
Ma ángeles Molina,Rocío Schettinily involved in national critical infrastructures (CI): transportation is directly identified as one of the CI sectors, and many other CI sectors cannot adequately function without properly working logistics. To optimize business processes and automate operational technology, different machine learni作者: Carcinogen 時(shí)間: 2025-3-23 22:25 作者: PET-scan 時(shí)間: 2025-3-24 06:08 作者: 效果 時(shí)間: 2025-3-24 08:20 作者: chapel 時(shí)間: 2025-3-24 12:59
Reference work 2018Latest editione the status of a software system. However, the large number of log entries makes manual analysis of the log data difficult. In order to identify errors or disruptions of computer systems at an early stage, an automated evaluation of the log data using artificial intelligence can be useful. In this 作者: 下級(jí) 時(shí)間: 2025-3-24 14:54 作者: Exclaim 時(shí)間: 2025-3-24 20:37
Martin E. R. Shanahan,Wulff Possarthis issue, we propose a novel hybrid intrusion detection algorithm that combines the deep autoencoder-based intrusion detection system (DAIDS) with recurrent neural networks (RNNs). The hybrid model aims to leverage the strengths of both approaches to enhance the accuracy and robustness of intrusion作者: disparage 時(shí)間: 2025-3-25 00:56 作者: Engulf 時(shí)間: 2025-3-25 05:59 作者: SPALL 時(shí)間: 2025-3-25 11:00
Artificial Intelligence and Differential Privacy: Review of Protection Estimate Modelseoretical, and relational proof of privacy, which makes it important to understand the actual behavior of the DP-based protection models. For this purpose, we will review what kind of frameworks or models are available to estimate how well an implemented differential privacy model works. Special att作者: Mast-Cell 時(shí)間: 2025-3-25 14:26 作者: innovation 時(shí)間: 2025-3-25 19:54 作者: 放逐某人 時(shí)間: 2025-3-25 23:04
Who Guards the Guardians? On Robustness of Deep Neural Networksther to mislead and change the model’s behavior or to leak information about the training data and potentially about the model in use. These attacks can be readily mapped within the Confidentiality, Integrity, and Availability triad components. We lay out the potential threat models and include the 作者: 中國紀(jì)念碑 時(shí)間: 2025-3-26 03:50 作者: 無禮回復(fù) 時(shí)間: 2025-3-26 05:16 作者: 嘮叨 時(shí)間: 2025-3-26 09:07
On the Cybersecurity of Logistics in the Age of Artificial Intelligencely involved in national critical infrastructures (CI): transportation is directly identified as one of the CI sectors, and many other CI sectors cannot adequately function without properly working logistics. To optimize business processes and automate operational technology, different machine learni作者: Conflagration 時(shí)間: 2025-3-26 15:22 作者: Fulminate 時(shí)間: 2025-3-26 19:49
On Protection of the Next-Generation Mobile Networks Against Adversarial Examplesgent machine learning (ML)-driven network components to adversarial effects. Due to the shared nature of wireless mediums, these components may be susceptible to sophisticated attacks that can manipulate the training and inference processes of the AI/ML models over the air. In our research, we focus作者: 填滿 時(shí)間: 2025-3-26 21:09
Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical rapidly. New applications in economics, industry, and healthcare create new challenges for the sustainable development of our society. We describe the organization and realization of a machine learning seminar that integrates a theoretical seminar and a practical tutorial focusing on the employments作者: 獸群 時(shí)間: 2025-3-27 01:42
Machine Learning and Anomaly Detection for an Automated Monitoring of Log Datae the status of a software system. However, the large number of log entries makes manual analysis of the log data difficult. In order to identify errors or disruptions of computer systems at an early stage, an automated evaluation of the log data using artificial intelligence can be useful. In this 作者: 針葉 時(shí)間: 2025-3-27 08:05 作者: Locale 時(shí)間: 2025-3-27 09:59
Enhancing Embedded IoT Systems for Intrusion Detection Using a Hybrid Modelhis issue, we propose a novel hybrid intrusion detection algorithm that combines the deep autoencoder-based intrusion detection system (DAIDS) with recurrent neural networks (RNNs). The hybrid model aims to leverage the strengths of both approaches to enhance the accuracy and robustness of intrusion作者: 誘導(dǎo) 時(shí)間: 2025-3-27 15:35
is an evident development. To this effect, this book brings together a group of international researchers and professionals who present their views on how to create security through AI.?..This book targets pos978-3-031-57454-2978-3-031-57452-8作者: 抱負(fù) 時(shí)間: 2025-3-27 20:05
https://doi.org/10.1007/978-1-4419-9356-4ient. When experts therefore work toward the ethical and sustainable implementation of their work, they align with the Sustainable Development Goals. The time of AI black boxes is over. Only explainable, trustworthy, and transparent solutions have a chance to prevail. Since this may not be the most 作者: 持續(xù) 時(shí)間: 2025-3-27 22:10 作者: Ventilator 時(shí)間: 2025-3-28 04:38
Empirical examination of comprehensibilityhe often overlooked category in our description: the outliers, which can be exploited as adversarial inputs. In addition, we cover two powerful attacks aimed at breaking privacy: model stealing and membership inference. Finally, we outline the current defenses against these attacks and conclude with作者: Fortuitous 時(shí)間: 2025-3-28 09:56 作者: GRACE 時(shí)間: 2025-3-28 10:46 作者: Axillary 時(shí)間: 2025-3-28 16:51
Ma ángeles Molina,Rocío Schettinithreat currently is or how the regulation and standardization are addressing machine learning security in operational technology used in logistics. In this survey, we will look at some of the foundational aspects of information security for ML and operational technology, investigate the known cybera作者: jocular 時(shí)間: 2025-3-28 20:24 作者: 清晰 時(shí)間: 2025-3-29 01:44 作者: construct 時(shí)間: 2025-3-29 04:27 作者: 暗語 時(shí)間: 2025-3-29 07:37 作者: 相一致 時(shí)間: 2025-3-29 13:11 作者: 確保 時(shí)間: 2025-3-29 19:36
Safeguarding the Future of Artificial Intelligence: An AI Blueprintient. When experts therefore work toward the ethical and sustainable implementation of their work, they align with the Sustainable Development Goals. The time of AI black boxes is over. Only explainable, trustworthy, and transparent solutions have a chance to prevail. Since this may not be the most 作者: Exposition 時(shí)間: 2025-3-29 21:34 作者: abracadabra 時(shí)間: 2025-3-30 03:03 作者: Budget 時(shí)間: 2025-3-30 06:48 作者: AMITY 時(shí)間: 2025-3-30 08:24
Artificial Intelligence Working to Secure Small Enterprises AI methods were then introduced into a cyber security framework for small enterprises. The main conclusion of this study was that AI tools are most useful for small enterprises when they are a part of a product that they can easily utilize. AI-powered spam filters used by e-mail service providers a作者: 命令變成大炮 時(shí)間: 2025-3-30 15:29
On the Cybersecurity of Logistics in the Age of Artificial Intelligencethreat currently is or how the regulation and standardization are addressing machine learning security in operational technology used in logistics. In this survey, we will look at some of the foundational aspects of information security for ML and operational technology, investigate the known cybera作者: harangue 時(shí)間: 2025-3-30 19:55 作者: 我怕被刺穿 時(shí)間: 2025-3-30 21:18
Designing and Implementing an Interactive Cloud Platform for Teaching Machine Learning with Medical rch framework for image classification and segmentation using publicly available medical data. To offer the students easy access to the necessary computing power, we created a remote development platform based on modern cloud technologies, making fast and efficient training of the models possible. W作者: 爵士樂 時(shí)間: 2025-3-31 00:56 作者: 過于平凡 時(shí)間: 2025-3-31 07:41 作者: 牛的細(xì)微差別 時(shí)間: 2025-3-31 10:28
