An Introduction to Network Security: Data Analysis Approach
暫譯: 網路安全導論：資料分析方法

Kabiri, Peyman

An Introduction to Network Security: Data Analysis Approach
  • 出版商: CRC
  • 出版日期: 2026-12-01
  • 售價: $6,060
  • 貴賓價: 9.5 折 $5,757
  • 語言: 英文
  • 頁數: 234
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032941847
  • ISBN-13: 9781032941844
  • 相關分類: 資訊安全、Data-mining

    • 尚未上市，無法訂購

商品描述

This book is designed to provide a starting point for researchers and students in the field of network security. The goal is to help them understand the problem domain, learn how to build an experimental set, and conduct experiments. This book focuses on concepts related to securing computer networks and does not cover cryptography. The book covers the areas of intrusion detection, intrusion prevention, and response systems. This includes processing data collected from network traffic and post-processing alerts generated by the intrusion detection system. Alert post-processing methods include alert aggregation and alert correlation. This book covers the theoretical concepts used in this field of work, supported by empirical examples, to show the reader how these tasks are possible. Concepts such as statistics, principal component analysis, dimensionality reduction, feature selection, classification methods, clustering methods, and expert systems are discussed in this book and used in examples. Finding and creating suitable datasets is also explained in this book. The examples provided are MS-Windows based, coded in C++, and explained in full detail. The examples are implemented in environments such as WEKA, CLIPS, and Visual Studio. The book covers methods for preventing and responding to intrusions. In addition to current methods in this field, the registry and MS-Windows Firewall are among the sections discussed in two chapters of the book. The book focuses primarily on wired networks or networks using TCP/IP-based connections, but there is also discussion of the applicability of these methods to other technologies and methods, such as Wi-Fi, Cookies, Fingerprinting, and Honeypots.

商品描述(中文翻譯)

本書旨在為網路安全領域的研究人員與學生提供入門基礎，協助讀者了解問題範疇、學習如何建立實驗環境，以及進行實驗。本書著重於電腦網路安全相關概念，不涵蓋密碼學。內容涵蓋入侵偵測、入侵防護與回應系統，包括處理從網路流量中收集的資料，以及對入侵偵測系統產生的警示進行後處理。警示後處理方法包括警示彙整與警示關聯。

本書介紹此領域所採用的理論概念，並以實證範例加以說明，讓讀者了解如何完成這些工作。書中討論統計學、主成分分析、降維、特徵選取、分類方法、分群方法與專家系統等概念，並透過範例展示其應用方式。本書也說明如何尋找與建立適用的資料集。

書中提供的範例以 MS-Windows 為基礎，使用 C++ 撰寫，並附有完整詳細的說明。這些範例實作於 WEKA、CLIPS 與 Visual Studio 等環境中。本書涵蓋防止入侵與回應入侵的方法。除了介紹此領域目前採用的方法之外，書中兩章也討論登錄檔（registry）與 MS-Windows Firewall。

本書主要聚焦於有線網路，或使用 TCP/IP 型連線的網路；此外，也討論這些方法應用於其他技術與方法的可行性，例如 Wi-Fi、Cookies、指紋辨識（Fingerprinting）與蜜罐（Honeypots）。

作者簡介

Peyman Kabiri, PhD, received his bachelor's degree in computer hardware engineering from Iran University of Science and Technology in 1992. After receiving his master's degree in real-time systems from Nottingham Trent University in 1996, he received a bursary from Nottingham Trent University to continue his doctoral studies. He received a PhD in Computer Science from Nottingham Trent University in 2000. After receiving his PhD, he held various positions in companies and universities, including Assistant Professor in the School of Computer Engineering at the Iran University of Science and Technology, project coordinator in Faculty of Computer Science at the University of New Brunswick - Canada, Senior Lecturer in Cybersecurity in the Department of Computing at Sheffield Hallam University, and Senior Lecturer in Cybersecurity in the School of Computer Science and Informatics at De Montfort University.

Dr Kabiri has designed and taught many modules in the field of cybersecurity at undergraduate and graduate levels since 2010. His lectures are based on his research findings and were initially intended for graduate students, including Intrusion Detection and Response Methods and Systems for Computer Networks, Secure Computer Systems, and Cyber-Physical Systems Security. Later, he designed and taught undergraduate lectures and laboratory tutorials for undergraduate courses at UK universities, namely Network Intrusion Detection and Artificial Intelligence for Cybersecurity (except for the last few sessions). He has a diverse range of research and teaching experiences that enable him to contribute to multidisciplinary research and teaching areas. He has published 46 conference papers and 32 journal articles and edited one book. He has supervised the final projects of many undergraduate students, 52 master's students and 5 doctoral students to completion. He strongly believes in research-based teaching, and in his lectures, he provides his students with theoretical and practical knowledge along with examples of real-world scenarios. Having diverse research and teaching experience at the international level helps him to have a broader perspective on different research and teaching approaches and the educational needs of researchers and students.

作者簡介(中文翻譯)

Peyman Kabiri 博士於 1992 年取得 Iran University of Science and Technology 的電腦硬體工程學士學位。1996 年取得 Nottingham Trent University 的即時系統碩士學位後，他獲得 Nottingham Trent University 提供的獎學金，繼續攻讀博士學位。2000 年，他取得 Nottingham Trent University 的電腦科學博士學位。取得博士學位後，他曾任職於多家企業與大學，擔任過 Iran University of Science and Technology 電腦工程學院的助理教授、University of New Brunswick（加拿大）電腦科學學院的專案協調員、Sheffield Hallam University 計算學系的網路安全高級講師，以及 De Montfort University 電腦科學與資訊學院的網路安全高級講師。

Kabiri 博士自 2010 年起，便在大學部與研究所層級設計並教授許多網路安全領域的課程模組。他的授課內容以自身的研究成果為基礎，最初是為研究生設計，包括《電腦網路入侵偵測與回應方法及系統》、《安全電腦系統》以及《資安實體系統安全》。之後，他為英國大學的大學部課程設計並教授講授課程與實驗課輔導，課程包括《網路入侵偵測》及《網路安全人工智慧》（最後幾堂課除外）。他擁有多元的研究與教學經驗，因此能夠投入跨領域的研究與教學工作。他曾發表 46 篇研討會論文與 32 篇期刊論文，並編輯過 1 本書。他已指導許多大學部學生、52 名碩士生及 5 名博士生完成畢業專題或學位研究。他深信以研究為基礎的教學；在授課時，他會提供學生理論與實務知識，並搭配真實世界情境的範例。他在國際層級累積的多元研究與教學經驗，使他能以更宏觀的角度看待不同的研究與教學方法，以及研究人員與學生的教育需求。

類似商品