Deep Learning Applications for Cyber Security
暫譯: 深度學習在網路安全中的應用

Alazab, Mamoun, Tang, Mingjian

Deep Learning Applications for Cyber Security
  • 出版商: Springer
  • 出版日期: 2019-08-30
  • 售價: $6,250
  • 貴賓價: 9.5 折 $5,938
  • 語言: 英文
  • 頁數: 246
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030130568
  • ISBN-13: 9783030130565
  • 相關分類: DeepLearning、資訊安全

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

 

Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points.

 

 

 

商品描述(中文翻譯)

網路犯罪在安全性和隱私實踐方面仍然是一個日益嚴峻的挑戰。深度學習和網路安全專家最近在入侵檢測、惡意程式碼分析和法醫識別等領域取得了顯著進展。本書探討了如何利用深度學習方法來推進網路安全目標，包括檢測、建模、監控和分析，以及防禦各種對敏感數據和安全系統的威脅。本書填補了深度學習與網路安全社群之間的重要空白，討論了涵蓋各種現代和實用的深度學習技術、框架和開發工具的主題，使讀者能夠接觸到網路安全各個方面的前沿研究。本書專注於成熟且經過驗證的技術，並提供豐富的範例以幫助讀者掌握重點。

作者簡介

 

Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. He received his PhD degree in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is a cyber security researcher and practitioner with industry and academic experience. Alazab's research is multidisciplinary that focuses on cyber security and digital forensics of computer systems with a focus on cybercrime detection and prevention. He has more than 100 research papers. He delivered many invited and keynote speeches, 22 events in 2018 alone. He convened and chaired more than 50 conferences and workshops. He works closely with government and industry on many projects. He is an editor on multiple editorial boards of international journals and a Senior Member of the IEEE.

MingJian Tang is a Senior Data Scientist at Singtel Optus, Australia. He received his PhD degree in Computer Science from La Trobe University, Melbourne, Australia, in 2009. Previously he was a Data Scientist at the Commonwealth Bank of Australia. He has participated in several industry-based research projects including unsupervised fraud detection, unstructured threat intelligence, cyber risk analysis and quantification, and big data analysis.

 

 

 

作者簡介(中文翻譯)

Mamoun Alazab 是澳洲查爾斯達爾文大學工程、資訊科技與環境學院的副教授。他在澳洲聯邦大學的科學、資訊科技與工程學院獲得計算機科學博士學位。他是一位擁有產業和學術經驗的網路安全研究者和實務者。Alazab 的研究是跨學科的，專注於計算機系統的網路安全和數位取證，特別是網路犯罪的偵測和預防。他發表了超過 100 篇研究論文，並在 2018 年獨自發表了 22 場受邀和主題演講。他主持和召集了超過 50 場會議和研討會，並與政府和產業在多個專案上密切合作。他是多本國際期刊的編輯委員會成員，也是 IEEE 的高級會員。

MingJian Tang 是澳洲 Singtel Optus 的資深數據科學家。他於 2009 年在澳洲墨爾本的拉籌伯大學獲得計算機科學博士學位。之前，他是澳洲聯邦銀行的數據科學家。他參與了幾個基於產業的研究專案，包括無監督詐騙偵測、非結構化威脅情報、網路風險分析與量化，以及大數據分析。

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