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"Data are the prominent elements in scientific researches and approaches. Data Science methodology is used to select and to prepare enormous numbers of data for further processing and analysing. Big Data technology collects vast amount of data from many sources in order to exploit the information and to visualise trend or to discover a certain phenomenon in the past, present, or in the future at high speed processing capability. Predictive analytics provides in-depth analytical insights and the emerging of machine learning brings the data analytics to a higher level by processing raw data with artificial intelligence technology. Predictive analytics and machine learning produce visual reports for decision makers and stake-holders. Regarding cyberspace security, big data promises the opportunities in order to prevent and to detect any advanced cyber-attacks by using internal and external security data."

"Data merupakan unsur terpenting dalam setiap penelitian dan pendekatan ilmiah. Metodologi sains data digunakan untuk memilah, memilih dan mempersiapkan sejumlah data untuk diproses dan dianalisis. Teknologi big data mampu mengumpulkan data dengan sangat banyak dari berbagai sumber dengan tujuan untuk mendapatkan informasi dengan visualisasi tren atau menyingkapkan pengetahuan dari suatu peristiwa yang terjadi baik dimasa lalu, sekarang, maupun akan datang dengan kecepatan pemrosesan data sangat tinggi. Analisis prediktif memberikan wawasan analisis lebih dalam dan kemunculan machine learning membawa analisis data ke tingkat yang lebih tinggi dengan bantuan teknologi kecerdasan buatan dalam tahap pemrosesan data mentah. Analisis prediktif dan machine learning menghasilkan laporan berbentuk visual untuk pengambil keputusan dan pemangku kepentingan. Berkenaan dengan keamanan siber, big data menjanjikan kesempatan dalam rangka untuk mencegah dan mendeteksi setiap serangan canggih siber dengan memanfaatkan data keamanan internal dan eksternal."

"Information security analytics gives you insights into the practice of analytics and, more importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques.Information security analytics dispels the myth that analytics within the information security domain is limited to just security incident and event management systems and basic network analysis. Analytic techniques can help you mine data and identify patterns and relationships in any form of security data. Using the techniques covered in this book, you will be able to gain security insights into unstructured big data of any type.The authors of information security analytics bring a wealth of analytics experience to demonstrate practical, hands-on techniques through case studies and using freely-available tools that will allow you to find anomalies and outliers by combining disparate data sets. They also teach you everything you need to know about threat simulation techniques and how to use analytics as a powerful decision-making tool to assess security control and process requirements within your organization. Ultimately, you will learn how to use these simulation techniques to help predict and profile potential risks to your organization."

"This book aims to provide a structural and comprehensive overview of the practical solutions and current research in the DLP domain. "

"The 12 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on privacy protection, access control, secure storage on the cloud, and trust on the Web."

"ABSTRAKSimple-O adalah aplikasi berbasis web yang sedang dikembangkan oleh Departemen Teknik Elektro Universitas Indonesia untuk digunakan sebagai ujian essay secara online. Aplikasi Simple-O ini harus memiliki sistem keamanan yang baik, sehingga sistem keamanan Simple-O perlu diuji tingkat keamanannya. Salah satu caranya adalah menggunakan SQL Injection, sebuah teknik eksploitasi pada aplikasi berbasis web yang menggunakan basis data sebagai penyimpanan data. Skripsi ini melakukan analisis tingkat keamanan web Simple-O menggunakan SQL Injection dan penerapan Anti SQL Injection untuk menghindari serangan SQL Injection. Hasil dari pengujian didapatkan bahwa Simple-O dapat diserang menggunakan SQL Injection melalui sintaks ? or ?1?=?1; ? #; ? 0=0 # dan serangan tersebut dapat dihindari menggunakan Anti SQL Injection.

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ABSTRACTSimple-O is a web-based application which currently developed by Department of Electrical Engineering University of Indonesia to be used as online essay exams. This Simple-O web must has a good security system, that is why Simple-O security system must be tested for it?s security level. One of the way is using SQL injection, an exploited technique on web-based application that use database as data storage. This thesis does the analysis of security level of Simple-O using SQL injection and execute Anti SQL Injection to avoid SQL Injection attacks. Result of testing is Simple-O can be attacked by SQL Injection with syntax ? or ?1?=?1; ? #; ? 0=0 # and the attack can be avoided by Anti SQL Injection."

"This book constitutes the thoroughly refereed post-conference proceedings of the 27th British National Conference on Databases, BNCOD 27, held in Dundee, UK, in June 2010. The 10 revised full papers and 6 short papers, presented together with 3 invited papers, 1 best paper of the associated event on Teaching, Learning and Assessment of Databases (TLAD), and 2 PhD forum best papers were carefully reviewed and selected from 42 submissions. Special focus of the conference has been "Data Security and Security Data" and so the papers cover a wide range of topics such as data security, privacy and trust, security data, data integration and interoperability, data management for ubiquitous and mobile computing, data mining and information extraction, data modelling and architectures, data provenance, dataspaces, data streaming, databases and the grid, distributed information systems, electronic commerce, enterprise systems, heterogeneous databases, industrial applications, infrastructures and systems, intermittently connected data, file access methods and index structures, managing legacy data, new applications and processes, parallel and distributed databases, peer-to-peer data management, performance modelling of ubiquitous data use, personal data management, query and manipulation languages, query processing and optimisation, scientific applications, semantic Web and ontologies, semi-structured data, metadata and xml, user interfaces and data visualisation, web data management and deep Web, Web services, and workflow support systems."