Analyzing and Securing Social Networks
暫譯: 分析與保護社交網絡

Thuraisingham, Bhavani, Abrol, Satyen, Heatherly, Raymond

Analyzing and Securing Social Networks

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商品描述

Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technologies that ensure the privacy of the participants of the network as well as provide controlled access to the information posted and exchanged by the participants.

 

 

 

 

The authors explore security and privacy issues for social media systems, analyze such systems, and discuss prototypes they have developed for social media systems whose data are represented using semantic web technologies. These experimental systems have been developed at The University of Texas at Dallas. The material in this book, together with the numerous references listed in each chapter, have been used for a graduate-level course at The University of Texas at Dallas on analyzing and securing social media. Several experimental systems developed by graduate students are also provided.

 

 

 

 

 

The book is divided into nine main sections: (1) supporting technologies, (2) basics of analyzing and securing social networks, (3) the authors' design and implementation of various social network analytics tools, (4) privacy aspects of social networks, (5) access control and inference control for social networks, (6) experimental systems designed or developed by the authors on analyzing and securing social networks, (7) social media application systems developed by the authors, (8) secure social media systems developed by the authors, and (9) some of the authors' exploratory work and further directions.

 

 

商品描述(中文翻譯)

《分析與保護社交網路》專注於為線上社交網路（OSNs）開發的兩項主要技術：（i）用於分析這些網路並提取有用資訊（如參與者的地理位置、人口統計資料和情感）的資料探勘技術，以及（ii）確保參與者隱私的安全與隱私技術，並提供對參與者所發布和交換資訊的受控訪問。

作者探討社交媒體系統的安全與隱私問題，分析這些系統，並討論他們為社交媒體系統開發的原型，這些系統的資料使用語意網技術表示。這些實驗系統是在德克薩斯州達拉斯大學開發的。本書中的材料以及每章中列出的眾多參考文獻，已用於德克薩斯州達拉斯大學的研究生課程，該課程專注於分析與保護社交媒體。還提供了幾個由研究生開發的實驗系統。

本書分為九個主要部分：（1）支援技術，（2）分析與保護社交網路的基本知識，（3）作者設計與實作的各種社交網路分析工具，（4）社交網路的隱私面向，（5）社交網路的存取控制與推論控制，（6）作者設計或開發的分析與保護社交網路的實驗系統，（7）作者開發的社交媒體應用系統，（8）作者開發的安全社交媒體系統，以及（9）作者的一些探索性工作和未來方向。

作者簡介

Dr. Bhavani Thuraisingham is the Louis A. Beecherl, Jr. distinguished professor of computer science and the executive director of the Cyber Security Research and Education Institute at the University of Texas at Dallas. She has 35 years of work experience in commercial industry (Honeywell), federally funded research and development center (MITRE), government (NSF) and academia. Dr. Thuraisingham has conducted research in cyber security for thirty years and specializes in applying data analytics for cyber security. Her work has resulted in over 100 keynote addresses, 120 journal papers, 300 conference papers, 15 books, and 8 patents.

 

 

 

Dr. Murat Kantarcioglu is a professor of computer science at The University of Texas at Dallas. He is recipient of an NSF CAREER award and a Purdue CERIAS Diamond Award for academic excellence. Currently, he is a visiting scholar at Harvard's Data Privacy Lab. His research has been supported by awards from NSF, AFOSR, ONR, NSA, and NIH. He has published over 150 peer-reviewed papers. Also, his work has been covered by media outlets such as Boston Globe and ABC News, among others, and has received three best-paper awards. He is a senior member of both ACM and IEEE.

 

 

 

 

 

Dr. Latifur Khan is a full professor (tenured) in the computer science department at the University of Texas at Dallas, where he has been teaching and conducting research since September 2000. He earned his PhD and MS degrees in computer science from the University of Southern California in August of 2000 and December of 1996 respectively. He has received prestigious awards, including the IEEE Technical Achievement Award for Intelligence and Security Informatics. He has given many keynote addresses, such as at the IEEE International Conference on Tools with Artificial Intelligence ICTAI 2010 in Arras, France.

 

 

 

Dr. Vaibhav Khadilkar completed his MS degree at Lamar University, and after working as a systems administrator for a few years, joined UTD for his PhD. He conducted research in secure semantic web, assured information sharing, and secure social networking, and completed his PhD in 2013. He received a scholarship from the CSI for his outstanding contributions. He has published numerous papers in top tier venues and is currently employed at NutraSpace in Dallas.

 

 

 

 

 

 

 

Satyen Abrol is a senior member of the technical staff at VMware, San Francisco Bay Area. He was a research assistant at the University of Texas at Dallas from August 2008 to May 2013, where he was associated with data mining and machine learning in online social networks. From May 2012 to August 2012, he worked at VMware in Palo Alto, CA, where he designed and implemented modules for storage, indexing, and querying of performance data. He also built pattern recognition modules for detecting performance regression, outlier detection, step detection, and correlation calculation.

 

 

 

 

 

Dr. Raymond Heatherly is lead data scientist at SHYFT Analytics, in the Greater Boston Area, where he is responsible for researching and implementing statistical tools for clinical and pharmaceutical analytical packages. He also is responsible for coordinating with the software development team to ensure that statistical components function within overall product offerings. Prior to that, he was a postdoctoral fellow at Vanderbilt University from August 2011 to July 2015, conducting research in electronic medical-record sharing and privacy, primarily for the eMERGE Consortium.

 

 

作者簡介(中文翻譯)

Bhavani Thuraisingham 博士 是德克薩斯州達拉斯大學的路易斯·A·比徹爾（Louis A. Beecherl, Jr.）計算機科學傑出教授及網絡安全研究與教育研究所的執行主任。她在商業行業（霍尼韋爾）、聯邦資助的研究與開發中心（MITRE）、政府（國家科學基金會 NSF）和學術界擁有 35 年的工作經驗。Thuraisingham 博士在網絡安全領域進行了三十年的研究，專注於將數據分析應用於網絡安全。她的工作產生了超過 100 次的主題演講、120 篇期刊論文、300 篇會議論文、15 本書籍和 8 項專利。

Murat Kantarcioglu 博士 是德克薩斯州達拉斯大學的計算機科學教授。他是 NSF CAREER 獎和普渡大學 CERIAS 鑽石獎的獲得者，以表彰其學術卓越。目前，他是哈佛大學數據隱私實驗室的訪問學者。他的研究得到了 NSF、AFOSR、ONR、NSA 和 NIH 的獎助。他已發表超過 150 篇經過同行評審的論文。此外，他的工作曾被《波士頓環球報》和 ABC News 等媒體報導，並獲得三項最佳論文獎。他是 ACM 和 IEEE 的高級會員。

Latifur Khan 博士 是德克薩斯州達拉斯大學計算機科學系的正教授（終身職），自 2000 年 9 月以來一直在該校教學和進行研究。他於 2000 年 8 月和 1996 年 12 月分別在南加州大學獲得計算機科學的博士和碩士學位。他曾獲得多項榮譽獎項，包括 IEEE 智能與安全信息學技術成就獎。他曾在多個場合發表主題演講，例如在 2010 年法國阿拉斯舉行的 IEEE 人工智能工具國際會議 ICTAI 2010。

Vaibhav Khadilkar 博士 在拉馬大學完成碩士學位，並在擔任系統管理員幾年後，加入德克薩斯州達拉斯大學攻讀博士學位。他的研究領域包括安全語義網、保證信息共享和安全社交網絡，並於 2013 年完成博士學位。他因其卓越貢獻獲得了 CSI 的獎學金。他在頂尖期刊上發表了多篇論文，目前在達拉斯的 NutraSpace 工作。

Satyen Abrol 是位於舊金山灣區 VMware 的技術人員高級成員。他於 2008 年 8 月至 2013 年 5 月期間擔任德克薩斯州達拉斯大學的研究助理，專注於在線社交網絡中的數據挖掘和機器學習。2012 年 5 月至 2012 年 8 月，他在加州帕洛阿爾托的 VMware 工作，設計並實現了性能數據的存儲、索引和查詢模塊。他還構建了模式識別模塊，用於檢測性能回歸、異常檢測、步驟檢測和相關性計算。

Raymond Heatherly 博士 是位於大波士頓地區 SHYFT Analytics 的首席數據科學家，負責研究和實施臨床和製藥分析包的統計工具。他還負責與軟件開發團隊協調，以確保統計組件在整體產品中正常運作。在此之前，他於 2011 年 8 月至 2015 年 7 月在范德比特大學擔任博士後研究員，主要進行電子病歷共享和隱私的研究，主要針對 eMERGE 聯盟。

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