Big Data and Edge Intelligence for Enhanced Cyber Defense: Principles and Research
暫譯: 增強網路防禦的巨量資料與邊緣智能：原則與研究
Panigrahi, Ranjit, de Albuquerque, Victor Hugo C., Kumar Bhoi, Akash
- 出版商: CRC
- 出版日期: 2026-05-21
- 售價: $2,580
- 貴賓價: 9.5 折 $2,451
- 語言: 英文
- 頁數: 12
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032104856
- ISBN-13: 9781032104850
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相關分類:
Edge computing
尚未上市，無法訂購
商品描述
An unfortunate outcome of the growth of the Internet and mobile technologies has been the challenge of countering cybercrime. This book introduces and explains the latest trends and techniques of edge artificial intelligence (EdgeAI) intended to help cyber security experts design robust cyber defense systems (CDS), including host-based and network-based intrusion detection system and digital forensic intelligence. This book discusses the direct confluence of EdgeAI with big data, as well as demonstrating detailed reviews of recent cyber threats and their countermeasure. It provides computational intelligence techniques and automated reasoning models capable of fast training and timely data processing of cyber security big data, in addition to other basic information related to network security. In addition, it provides a brief overview of modern cyber security threats and outlines the advantages of using EdgeAI to counter these threats, as well as exploring various cyber defense mechanisms (CDM) based on detection type and approaches. Specific challenging areas pertaining to cyber defense through EdgeAI, such as improving digital forensic intelligence, proactive and adaptive defense of network infrastructure, and bio-inspired CDM, are also discussed. This book is intended as a reference for academics and students in the field of network and cybersecurity, particularly on the topics of intrusion detection systems, smart grid, EdgeAI, and bio-inspired cyber defense principles. The front-line EdgeAI techniques discussed will also be of use to cybersecurity engineers in their work enhancing cyber defense systems.
商品描述(中文翻譯)
不幸的是，隨著網際網路和行動技術的成長，對抗網路犯罪的挑戰也隨之而來。本書介紹並解釋了邊緣人工智慧（EdgeAI）的最新趨勢和技術，旨在幫助網路安全專家設計穩健的網路防禦系統（CDS），包括基於主機和基於網路的入侵偵測系統以及數位取證智慧。本書討論了EdgeAI與大數據的直接交匯，並詳細回顧了近期的網路威脅及其對策。它提供了計算智慧技術和自動推理模型，能夠快速訓練和及時處理網路安全大數據，並包含其他與網路安全相關的基本資訊。此外，本書簡要概述了現代網路安全威脅，並概述了使用EdgeAI對抗這些威脅的優勢，同時探討了基於偵測類型和方法的各種網路防禦機制（CDM）。本書還討論了與EdgeAI相關的網路防禦特定挑戰領域，例如改善數位取證智慧、主動和自適應的網路基礎設施防禦，以及生物啟發的CDM。本書旨在作為網路和網路安全領域學術界和學生的參考，特別是在入侵偵測系統、智慧電網、EdgeAI和生物啟發的網路防禦原則等主題上。所討論的前沿EdgeAI技術也將對網路安全工程師在增強網路防禦系統的工作中有所幫助。
作者簡介
Ranjit Panigrahi is an Assistant Professor at the Department of Computer Applications, Sikkim Manipal University. He has been actively involved in numerous conferences and serves as a member of the technical review committee for international journals published by Springer Nature and Inderscience. His research interests are Machine Learning, Pattern Recognition and Wireless Sensor Networks.
Victor Hugo C. de Albuquerque is a professor and senior researcher at the University of Fortaleza, LAPISCO/IFCE, and ARMTEC Tecnologia em Robótica, Brazil. He specialises in the Internet of Things, Machine/Deep Learning, Pattern Recognition and Robotics. His work has been funded by the Brazilian National Council for Research and Development.
Akash Kumar Bhoi is an Assistant Professor (Research) at the Department of Electrical and Electronics Engineering at Sikkim Manipal Institute of Technology (SMIT). He is a member of IEEE, ISEIS, and IAENG, an associate member of IEI, UACEE, and editorial board member reviewer of Indian and international journals. His research interests are Biomedical Signal Processing, Internet of Things, Computational Intelligence, Antenna and Renewable Energy.
Hareesha K. S. is a Professor at the Department of Computer Applications at Manipal Institute of Technology, MAHE. He has received fellowship awards from the National Science Foundation, USA and Federation University, Australia and was recently selected for AICTE-UKIERI Technical Leadership Development Programme for his research and academic contributions. His research interests are improving machine learning algorithms and understanding, design of intelligent soft computing models in digital image processing and data mining. He is also works on Virtual Reality and Augmented Reality for medical surgery planning.
Dr. P Naga Srinivasu is an Associate Professor in the Department of Computer Science at Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amaravati, Andhra Pradesh, India. Holding a post-doctoral fellowship from the Department of Teleinformatics Engineering at the Federal University of Ceará, Brazil, he also serves as a research fellow at INTI International University, Malaysia. After graduating with a Bachelor's degree in Computer Science Engineering from SSIET, JNTU Kakinada, in 2011, he obtained a Master's in Computer Science Technology from GITAM University, Visakhapatnam, in 2013. His doctoral research at GITAM University focused on Automatic Segmentation Methods for Volumetric Estimation of Damaged Areas in Astrocytoma instances Identified from 2D Brain MR Imaging. His diverse contributions reflect a steadfast dedication to advancing research and knowledge in healthcare informatics and biomedical engineering.
作者簡介(中文翻譯)
Ranjit Panigrahi 是西基姆曼尼普大學（Sikkim Manipal University）計算機應用系的助理教授。他積極參與多個會議，並擔任 Springer Nature 和 Inderscience 出版的國際期刊的技術審查委員會成員。他的研究興趣包括機器學習（Machine Learning）、模式識別（Pattern Recognition）和無線感測器網路（Wireless Sensor Networks）。
Victor Hugo C. de Albuquerque 是巴西福塔雷薩大學（University of Fortaleza）、LAPISCO/IFCE 和 ARMTEC Tecnologia em Robótica 的教授及高級研究員。他專注於物聯網（Internet of Things）、機器學習/深度學習（Machine/Deep Learning）、模式識別和機器人技術（Robotics）。他的研究工作得到了巴西國家研究與發展委員會的資助。
Akash Kumar Bhoi 是西基姆曼尼普科技學院（Sikkim Manipal Institute of Technology, SMIT）電機與電子工程系的助理教授（研究）。他是 IEEE、ISEIS 和 IAENG 的成員，IEI 和 UACEE 的副會員，以及印度和國際期刊的編輯委員會成員審稿人。他的研究興趣包括生物醫學信號處理（Biomedical Signal Processing）、物聯網、計算智能（Computational Intelligence）、天線和可再生能源（Renewable Energy）。
Hareesha K. S. 是馬尼普爾科技學院（Manipal Institute of Technology, MAHE）計算機應用系的教授。他曾獲得美國國家科學基金會（National Science Foundation, USA）和澳大利亞聯邦大學（Federation University）的獎學金，並因其研究和學術貢獻最近被選為 AICTE-UKIERI 技術領導力發展計劃的參與者。他的研究興趣包括改進機器學習算法和理解、設計智能軟計算模型於數位影像處理和資料挖掘。他還從事虛擬實境（Virtual Reality）和擴增實境（Augmented Reality）在醫療手術規劃中的應用。
P Naga Srinivasu 博士是印度安美塔計算學院（Amrita School of Computing, Amrita Vishwa Vidyapeetham）計算機科學系的副教授。他持有巴西塞阿拉聯邦大學（Federal University of Ceará）電信資訊工程系的博士後獎學金，並擔任馬來西亞 INTI 國際大學的研究員。2011 年，他從 JNTU Kakinada 的 SSIET 獲得計算機科學工程學士學位，2013 年從 GITAM 大學（GITAM University, Visakhapatnam）獲得計算機科學技術碩士學位。他在 GITAM 大學的博士研究專注於自動分割方法，用於從 2D 腦部磁共振影像中識別的星形膠質瘤（Astrocytoma）受損區域的體積估算。他的多元貢獻反映出對推進醫療資訊學和生物醫學工程研究與知識的堅定承諾。
