標(biāo)題: Titlebook: Artificial Intelligence and Cyber Security in Industry 4.0; Velliangiri Sarveshwaran,Joy Iong-Zong Chen,Danilo Book 2023 The Editor(s) (if [打印本頁(yè)] 作者: gloomy 時(shí)間: 2025-3-21 16:18
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0影響因子(影響力)
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0影響因子(影響力)學(xué)科排名
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0被引頻次
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0被引頻次學(xué)科排名
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0年度引用
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0年度引用學(xué)科排名
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0讀者反饋
書(shū)目名稱Artificial Intelligence and Cyber Security in Industry 4.0讀者反饋學(xué)科排名
作者: abject 時(shí)間: 2025-3-22 00:01 作者: PIZZA 時(shí)間: 2025-3-22 03:58
https://doi.org/10.1007/978-981-99-2115-7Machine Learning; Deep Learning; Internet of Things (IoT); Autonomous Drones; Malware Analysis; Vehicle S作者: 兩棲動(dòng)物 時(shí)間: 2025-3-22 05:55 作者: OMIT 時(shí)間: 2025-3-22 10:39
Artificial Intelligence and Cyber Security in Industry 4.0978-981-99-2115-7Series ISSN 2191-6853 Series E-ISSN 2191-6861 作者: enumaerate 時(shí)間: 2025-3-22 16:05 作者: glomeruli 時(shí)間: 2025-3-22 19:50
Thomas Schirmer,Ursula Fittschenhus enabling new cyberattacks that cannot be resolved by human intervention alone. Artificial intelligence (AI) has now become an essential tool that provides security as it has the potential to easily analyze billions of data and triangulate an array of possible cyberattacks that can range from act作者: 溫室 時(shí)間: 2025-3-22 22:38 作者: 玩忽職守 時(shí)間: 2025-3-23 02:23
Thomas Schirmer,Ursula Fittschen the physical world. IoT allows us to interconnect billions of devices in order to perform communication and computing. The IoT is quickly encroaching on a wide range of industries, including smart cities, agriculture, healthcare, and many more. This drastic upsurge in the number of IoT devices itse作者: 控訴 時(shí)間: 2025-3-23 06:04
Thomas Schirmer,Ursula Fittschenrmation security by bringing forth comprehensive control on security breaches using the Internet of Things (IoT), machine learning, artificial intelligence, and big data analytics. When AI is integrated with information security management (ISM), it will help organizations verify and predict potenti作者: flammable 時(shí)間: 2025-3-23 10:37 作者: DOTE 時(shí)間: 2025-3-23 15:32 作者: colloquial 時(shí)間: 2025-3-23 18:51 作者: deviate 時(shí)間: 2025-3-24 01:16 作者: altruism 時(shí)間: 2025-3-24 06:18 作者: consolidate 時(shí)間: 2025-3-24 10:23 作者: placebo-effect 時(shí)間: 2025-3-24 12:24 作者: 同謀 時(shí)間: 2025-3-24 17:30
Einsatz von Nutzhanf in Deutschlandection is a popular area of study because of the widespread impact that these assaults are having on individuals, businesses, and governments. The malware signatures and behaviour patterns used by existing malware detection technologies are time-consuming and have been shown to be unsuccessful at de作者: GLOSS 時(shí)間: 2025-3-24 21:39 作者: Nausea 時(shí)間: 2025-3-25 01:33 作者: 知識(shí) 時(shí)間: 2025-3-25 07:12 作者: GIBE 時(shí)間: 2025-3-25 10:31
Introduction to Artificial Intelligence and Cybersecurity for Industry,ligence, including logic and experience-based learning. One of the most intriguing and comprehensive fields of computer science, AI has a bright future. AI uses economics, probability theory, and algorithm design techniques to resolve real-world issues. AI also uses mathematics, psychology, language作者: 少量 時(shí)間: 2025-3-25 12:45 作者: Euphonious 時(shí)間: 2025-3-25 16:07 作者: 大吃大喝 時(shí)間: 2025-3-25 22:40 作者: 笨拙處理 時(shí)間: 2025-3-26 03:36
,Adopting Artificial Intelligence in ITIL for Information Security Management—Way Forward in Industrrmation security by bringing forth comprehensive control on security breaches using the Internet of Things (IoT), machine learning, artificial intelligence, and big data analytics. When AI is integrated with information security management (ISM), it will help organizations verify and predict potenti作者: GOUGE 時(shí)間: 2025-3-26 05:50 作者: 驚惶 時(shí)間: 2025-3-26 08:54
A Review on Automatic Generation of Attack Trees and Its Application to Automotive Cybersecurity,owever, the means to perform the required testing and risk assessment are limited due to the complex and increasingly obscure nature of automotive systems. To rectify this, several approaches have been put forward to systematise and automate the process of evaluating cybersecurity in vehicular syste作者: 追蹤 時(shí)間: 2025-3-26 13:43
Malware Analysis Using Machine Learning Tools and Techniques in IT Industry,isation’s most valuable asset, and its protection would be the first priority. As the IT sector grows tremendously every day, so does the market for malware analysis. Malware analysis is the process in which a given malware is exploited to understand the damage it is intended to do and its functiona作者: 兒童 時(shí)間: 2025-3-26 19:16
Use of Machine Learning in Forensics and Computer Security,al industry. The transactions among the various applications of the fields are prone to various cyber-attacks and crimes. The fast development of society leads to difficulty in identifying such attacks and crimes. To overcome this problem, computational techniques such as soft computing and machine 作者: llibretto 時(shí)間: 2025-3-27 00:56 作者: 懸崖 時(shí)間: 2025-3-27 05:07
Efficient Anomaly Detection for Empowering Cyber Security by Using Adaptive Deep Learning Model,en critical signals simulating a security assault have been captured from specific machines using a variety of detectors. Unfortunately, there are situations when the analyst has no idea why a certain machine has been flagged as “under assault.” Understanding the trends in network assaults and devel作者: enchant 時(shí)間: 2025-3-27 07:17 作者: 嘲笑 時(shí)間: 2025-3-27 09:51
War Strategy Algorithm-Based GAN Model for Detecting the Malware Attacks in Modern Digital Age,ection is a popular area of study because of the widespread impact that these assaults are having on individuals, businesses, and governments. The malware signatures and behaviour patterns used by existing malware detection technologies are time-consuming and have been shown to be unsuccessful at de作者: 兇殘 時(shí)間: 2025-3-27 14:59
ML Algorithms for Providing Financial Security in Banking Sectors with the Prediction of Loan Riskshe current situation, there are significant risks for banks in providing loans. Before sanctioning a loan, banks should assess and study the individual’s trustworthiness in order to minimize their capital loss. If this method is not followed, there is a good probability that this loan will become a 作者: 蒸發(fā) 時(shí)間: 2025-3-27 21:12
Machine Learning-Based DDoS Attack Detection Using Support Vector Machine,pandemic. Distributed denial of service attack takes a vital role in cyber-attack. The cost of a DDoS attack is higher when compared to other attacks since it stops the service provided by the service provider. Machine learning techniques play a crucial role in intrusion detection and cyber security作者: orthopedist 時(shí)間: 2025-3-27 22:01
Artificial Intelligence-Based Cyber Security Applications,ligence techniques are used in cyber security applications. Many of the cyber security applications including DDoS security, web firewall, antivirus, and antimalware are attacked everyday by various means by the attackers. As a result, we need an algorithm or a system that learns from the existing a作者: Fabric 時(shí)間: 2025-3-28 03:31 作者: HALL 時(shí)間: 2025-3-28 09:01
Artificial Intelligence and Cyber Security in Industry 4.0作者: Classify 時(shí)間: 2025-3-28 13:59 作者: patriot 時(shí)間: 2025-3-28 17:02 作者: 空氣 時(shí)間: 2025-3-28 19:16 作者: crumble 時(shí)間: 2025-3-29 00:14
Thomas Schirmer,Ursula Fittschen are revolutionizing the industrial sector’s behind-the-scenes operations at organizations like Airbus and Caterpillar. Cyber-physical systems and the technology that underpins?them are at the heart of Industry 4.0 also known as the industrial Internet of things (IIoT). Every time a new technology i作者: APO 時(shí)間: 2025-3-29 05:02
Thomas Schirmer,Ursula Fittschen as a bureaucratic and inflexible framework is challenged by the realization that it may be adapted to incorporate cutting-edge methodologies like AI, ML, Agile, DevOps, etc. When it comes to managing risks, ISM is an essential component of any company or organization. The introduction of AI into IT作者: perpetual 時(shí)間: 2025-3-29 09:51 作者: Palatial 時(shí)間: 2025-3-29 12:16
Thomas Schirmer,Ursula Fittschening different and newer techniques to get what they require. To keep up with their pace, cybersecurity measures also have to increase to stop these attacks. By introducing artificial intelligence (AI) in cybersecurity tools such as malware analyser, the process becomes much more time efficient and t作者: Allowance 時(shí)間: 2025-3-29 15:40
,Fortsetzung auf r?hrenf?rmigen Gebieten,ce in this chapter, a novel artificial intelligent strategy is employed for the motor system. The fuzzy immune framework is employed to ensure the smoothness of the generated torque. The proposed adaptive strategy is a computational paradigm derived from basic humoral immunological phenomena. Furthe作者: interrogate 時(shí)間: 2025-3-29 21:57
Ergebnisse der qualitativen Untersuchung,eate a flexible deep learning model for better security through more precise anomaly detection. The information presented at CSE-CIC-DS2018 is used as a starting point. An additional method will be used to the pre-processed data to identify abnormalities in the system. Convolutional recurrent neural作者: Rankle 時(shí)間: 2025-3-30 02:14 作者: acolyte 時(shí)間: 2025-3-30 07:49 作者: 格言 時(shí)間: 2025-3-30 11:18 作者: 調(diào)整 時(shí)間: 2025-3-30 12:33
