Analyzing and Securing Social Networks

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.

 

 

《分析和保護社交網絡》專注於兩個主要的在線社交網絡（OSN）技術：（i）用於分析這些網絡並提取有用信息（如位置、人口統計和參與者情感）的數據挖掘技術，以及（ii）確保參與者隱私並提供對參與者發布和交換的信息的受控訪問的安全和隱私技術。

作者探討了社交媒體系統的安全和隱私問題，分析了這些系統，並討論了他們使用語義網絡技術表示數據的社交媒體系統的原型。這些實驗系統是在德克薩斯大學達拉斯分校開發的。本書的內容以及每章列出的眾多參考文獻已用於德克薩斯大學達拉斯分校的研究生課程，該課程涉及分析和保護社交媒體。還提供了由研究生開發的幾個實驗系統。

本書分為九個主要部分：（1）支持技術，（2）分析和保護社交網絡的基礎知識，（3）作者設計和實施的各種社交網絡分析工具，（4）社交網絡的隱私方面，（5）社交網絡的訪問控制和推理控制，（6）作者設計或開發的分析和保護社交網絡的實驗系統，（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。

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.

 

 

Dr. Bhavani Thuraisingham是德州達拉斯大學的Louis A. Beecherl Jr.傑出教授，同時也是該校網路安全研究與教育研究所的執行主任。她在商業行業（Honeywell）、聯邦資助的研究與開發中心（MITRE）、政府（NSF）和學術界擁有35年的工作經驗。Thuraisingham博士在網路安全領域進行了三十年的研究，專注於應用數據分析於網路安全。她的研究成果包括100多次主題演講、120篇期刊論文、300篇會議論文、15本書籍和8項專利。

Dr. Murat Kantarcioglu是德州達拉斯大學的計算機科學教授，曾獲得NSF CAREER獎和普渡大學CERIAS Diamond獎，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的資助。他發表了150多篇同行評審的論文，並受到波士頓環球報和ABC新聞等媒體的報導，並獲得了三個最佳論文獎。他是ACM和IEEE的高級會員。

Dr. Latifur Khan是德州達拉斯大學計算機科學系的正教授，自2000年9月以來一直在該校教學和研究。他於2000年8月和1996年12月分別在南加州大學獲得博士和碩士學位。他獲得了包括IEEE智能與安全信息學技術成就獎在內的多個重要獎項。他曾在法國阿拉斯舉行的IEEE國際人工智能工具會議ICTAI 2010上發表過多次主題演講。

Dr. Vaibhav Khadilkar在Lamar大學完成了碩士學位，並在幾年的系統管理員工作後加入了UTD攻讀博士學位。他在安全語義網、確保信息共享和安全社交網絡方面進行了研究，並於2013年獲得博士學位。他因其傑出貢獻獲得了CSI的獎學金。他在頂級會議上發表了許多論文，目前在達拉斯的NutraSpace公司工作。

Satyen Abrol是VMware旧金山灣區的高級技術人員。他曾在2008年8月至2013年5月期間擔任德州達拉斯大學的研究助理，從事在線社交網絡中的數據挖掘和機器學習相關的工作。2012年5月至2012年8月期間，他在加利福尼亞州帕羅奧圖的VMware工作，設計和實施了性能數據的存儲、索引和查詢模塊。他還建立了用於檢測性能回歸、異常檢測、步檢測和相關性計算的模式識別模塊。

Dr. Raymond Heatherly是SHYFT Analytics的首席數據科學家，位於大波士頓地區，負責研究和實施臨床和藥物分析軟體的統計工具。他還負責與軟體開發團隊協調，確保統計組件在整體產品中正常運作。在此之前，他是范德堡大學的博士後研究員，從2011年8月至2015年7月，主要研究電子醫療記錄共享和隱私，主要為eMERGE聯盟。