標(biāo)題: Titlebook: Explainable Artificial Intelligence for Cyber Security; Next Generation Arti Mohiuddin Ahmed,Sheikh Rabiul Islam,Al-Sakib Khan Book 2022 T [打印本頁(yè)] 作者: 對(duì)將來(lái)事件 時(shí)間: 2025-3-21 19:13
書(shū)目名稱Explainable Artificial Intelligence for Cyber Security影響因子(影響力)
書(shū)目名稱Explainable Artificial Intelligence for Cyber Security影響因子(影響力)學(xué)科排名
書(shū)目名稱Explainable Artificial Intelligence for Cyber Security網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Explainable Artificial Intelligence for Cyber Security網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Explainable Artificial Intelligence for Cyber Security被引頻次
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書(shū)目名稱Explainable Artificial Intelligence for Cyber Security讀者反饋
書(shū)目名稱Explainable Artificial Intelligence for Cyber Security讀者反饋學(xué)科排名
作者: FADE 時(shí)間: 2025-3-21 23:19 作者: 防止 時(shí)間: 2025-3-22 03:41
Handbook of Recording Engineeringtechniques for Intrusion Detection has been presented. Finally a series of discussion showed how AI enforce the effectiveness of cyber security. At the end of this chapter the different challenges of application of AI in Cyber Security are explored.作者: 真實(shí)的你 時(shí)間: 2025-3-22 06:51
Reference Electrodes for Aqueous Solutions,hilosophy, psychology, and cognitive science, so that the explanation is not just based on the researcher’s intuition of what constitutes a good explanation. Domain knowledge is an abstract, fuzzy, and high-level concept over the problem domain. For instance, in an image classification problem, the 作者: 旋轉(zhuǎn)一周 時(shí)間: 2025-3-22 09:58
Sarah Wittry,Diana Molinares,Susan Maltseretwork monitoring tools concentrating on the immediate impact and output of cyber assaults on the network. This helps to better comprehend the many directions in the area of network monitoring and cybersecurity research. In general, this chapter aims to study the different network monitoring techniq作者: REIGN 時(shí)間: 2025-3-22 15:45 作者: REIGN 時(shí)間: 2025-3-22 20:21 作者: 悲痛 時(shí)間: 2025-3-22 21:59 作者: 多骨 時(shí)間: 2025-3-23 04:42
Ming J. Zuo,Jinsheng Huang,Way Kuoor many data-driven automated applications. But how may it affect the system’s security and trustworthiness? This chapter conducts a comprehensive study of machine learning applications in cybersecurity to indicate the need for explainability to address this question. While doing that, this chapter 作者: RAGE 時(shí)間: 2025-3-23 09:03
Safety and Risk in Engineering Designal care team to understand the logic and counter check the decisions before implementing on the patient for a better cause. Our aim is to highlight the reasons of adopting XAI in the healthcare domain in this book chapter and discuss the basic concept behind it on how it can contribute towards relia作者: maudtin 時(shí)間: 2025-3-23 11:56
Explainable Artificial Intelligence for Cyber SecurityNext Generation Arti作者: harmony 時(shí)間: 2025-3-23 13:54 作者: 吼叫 時(shí)間: 2025-3-23 18:35 作者: jocular 時(shí)間: 2025-3-23 23:23 作者: escalate 時(shí)間: 2025-3-24 05:54
Artificial Intelligence for Cyber Security: Performance Analysis of Network Intrusion Detection,etwork monitoring tools concentrating on the immediate impact and output of cyber assaults on the network. This helps to better comprehend the many directions in the area of network monitoring and cybersecurity research. In general, this chapter aims to study the different network monitoring techniq作者: flourish 時(shí)間: 2025-3-24 07:43 作者: 向外才掩飾 時(shí)間: 2025-3-24 11:18 作者: 死亡 時(shí)間: 2025-3-24 15:12 作者: 為現(xiàn)場(chǎng) 時(shí)間: 2025-3-24 20:05 作者: Wallow 時(shí)間: 2025-3-24 23:18
Explainable Artificial Intelligence in Sustainable Smart Healthcare,al care team to understand the logic and counter check the decisions before implementing on the patient for a better cause. Our aim is to highlight the reasons of adopting XAI in the healthcare domain in this book chapter and discuss the basic concept behind it on how it can contribute towards relia作者: visual-cortex 時(shí)間: 2025-3-25 04:09
1860-949X able Artificial Intelligence for Cyber Security.Provides int.This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and int作者: compel 時(shí)間: 2025-3-25 09:05
Kristin M. Hunter,Anthony O. Ahmedrs with new and exciting technological advancements being developed every single day. This chapter aims to highlight and critically evaluate the practical and ethical challenges brought about by the advancement of AI and ML as well as identifying any research gaps and suggesting areas where further exploration is required.作者: LAPSE 時(shí)間: 2025-3-25 14:18
Book 2022orithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security作者: 相信 時(shí)間: 2025-3-25 17:27 作者: Stricture 時(shí)間: 2025-3-25 21:18 作者: 誘拐 時(shí)間: 2025-3-26 01:28 作者: 疏遠(yuǎn)天際 時(shí)間: 2025-3-26 06:14
Reflective Inquiry in the Roundral notable models such as Adaboost and random forest. Thus, based on the performance demonstrated with the NSL-KDD and TON_IoT datasets, XGBoost appears to be a promising cybersecurity machine learning method that could prove applicable to the classification of cybersecurity attacks.作者: 補(bǔ)角 時(shí)間: 2025-3-26 09:38 作者: 敘述 時(shí)間: 2025-3-26 15:00
,Artificial Intelligence: Practical and?Ethical Challenges,rs with new and exciting technological advancements being developed every single day. This chapter aims to highlight and critically evaluate the practical and ethical challenges brought about by the advancement of AI and ML as well as identifying any research gaps and suggesting areas where further exploration is required.作者: 飛鏢 時(shí)間: 2025-3-26 20:52
978-3-030-96632-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Employee 時(shí)間: 2025-3-27 00:55
Explainable Artificial Intelligence for Cyber Security978-3-030-96630-0Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: Rejuvenate 時(shí)間: 2025-3-27 02:31 作者: 范例 時(shí)間: 2025-3-27 06:45
Asmerilda Hitaj,Giovanni Zambruno real-world and mission-critical problems in a wide range of domains such as finance, healthcare, security, natural language processing, transportation, military, and retail. However, the importance of interpretable and explainable decision-making processes within AI-based systems is becoming crucia作者: Fortify 時(shí)間: 2025-3-27 10:34 作者: barium-study 時(shí)間: 2025-3-27 17:39
Kristin M. Hunter,Anthony O. Ahmedgies & face recognition without the majority of society even realising it. The power of technology and availability of data has exploded in recent years with new and exciting technological advancements being developed every single day. This chapter aims to highlight and critically evaluate the pract作者: LAITY 時(shí)間: 2025-3-27 21:21
Reference Electrodes for Aqueous Solutions,gating the concern, Explainable AI (XAI) is an emerging area of research. In pre-modeling explainability, which is one of the notions of explainability, one can introduce explainability before training the model. One can also introduce explainability during training of the model or after training th作者: 姑姑在炫耀 時(shí)間: 2025-3-28 00:00 作者: 令人作嘔 時(shí)間: 2025-3-28 04:50
Sarah Wittry,Diana Molinares,Susan Maltserhnology, as several government organizations and commercial enterprises are moving to dispersed systems. A cyber security analyst is most importantly responsible for protecting the network against damage. Attacks on networks are becoming more complex and sophisticated every day. The number of connec作者: 牽索 時(shí)間: 2025-3-28 09:12 作者: glans-penis 時(shí)間: 2025-3-28 11:54
Risk management in Reinsurance Companies,icipate prospective attacks by establishing attack patterns based on available evidence and intrusion data traces. This chapter introduces network forensics, describes some common attacks targeting networks and existing network forensic tools. Moreover, this chapter describes the current development作者: FAR 時(shí)間: 2025-3-28 17:21 作者: ascend 時(shí)間: 2025-3-28 22:23
Handbook of Relay Switching Technique with machine learning to identify malicious tags. The RF Identification (RFID) system is an integral part of sensory tag based IoT applications. Due to limited computational capabilities on tags, traditional security primitives are not feasible for sensory tags, while there are existing lightweight作者: creatine-kinase 時(shí)間: 2025-3-28 23:35 作者: 津貼 時(shí)間: 2025-3-29 05:14 作者: 豎琴 時(shí)間: 2025-3-29 11:12
Mohiuddin Ahmed,Sheikh Rabiul Islam,Al-Sakib Khan Serves as an excellent reference for those who are working in cyber security and artificial intelligence.Presents recent research on Explainable Artificial Intelligence for Cyber Security.Provides int作者: BLOT 時(shí)間: 2025-3-29 13:30
Studies in Computational Intelligencehttp://image.papertrans.cn/e/image/319293.jpg作者: 植物學(xué) 時(shí)間: 2025-3-29 15:45 作者: 預(yù)感 時(shí)間: 2025-3-29 23:38
