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"The objective of this book is to provide the reader with a comprehensive survey of the topic compressed sensing in information retrieval and signal detection with privacy preserving functionality without compromising the performance of the embedding in terms of accuracy or computational efficiency. The reader is guided in exploring the topic by first establishing a shared knowledge about compressed sensing and how it is used nowadays. Then, clear models and definitions for its use as a cryptosystem and a privacy-preserving embedding are laid down, before tackling state-of-the-art results for both applications. The reader will conclude the book having learned that the current results in terms of security of compressed techniques allow it to be a very promising solution to many practical problems of interest. The book caters to a broad audience among researchers, scientists, or engineers with very diverse backgrounds, having interests in security, cryptography and privacy in information retrieval systems. Accompanying software is made available on the authors’ website to reproduce the experiments and techniques presented in the book. The only background required to the reader is a good knowledge of linear algebra, probability and information theory."

"Sertifikasi di lingkungan Direktorat XYZ sebagai salah satu aktivitas utama di lingkungan Direktorat XYZ tidak lepas dari peran SI/TI untuk mendukung layanan sertifikasi secara optimal, yang pada akhirnya dapat memberikan layanan optimal sertifikasi. Agar dapat memberikan layanan prima sertifikasi, diperlukan adanya data yang berkualitas, yang dapat memenuhi kriteria, reliabilitas, integritas, dan ketersediaannya.COBIT 4.1 dan SNI ISO/IEC 27001:2009 merupakan kerangka kerja tata kelola TI dan standar keamanan informasi yang merupakan praktik terbaik. Pengkombinasian keduanya dalam penyusunan kebijakan tata kelola TI digunakan dalam penelitian sebagai dasar dalam penyusunan rancangan kebijakan dan prosedur pengelolaan data, dengan harapan dapat menghasilkan kebijakan dan prosedur yang komprehensif dan memberikan manfaat pengelolaan keamanan informasi bagi organisasi yang menerapkan keduanya.Metode yang digunakan dalam penelitian ini adalah observasi, kuisioner dan wawancara berdasarkan COBIT 4.1 dan SNI ISO/IEC 27001:2009. Selain itu, digunakan metode Delphi untuk validasi rancangan kebijakan dan prosedur. Berdasarkan hasil penilaian dan analisis risiko, dipilih kontrol-kontrol yang dapat diterapkan untuk meningkatkan keamanan informasi. Kontrol-kontrol tersebut dimasukkan dalam rancangan kebijakan dan prosedur keamanan informasi. Berdasarkan hasil kuisioner dan wawancara, dilakukan identifikasi dan analisis hasil pengukuran kematangan, analisis kesenjangan tingkat kinerja dan tingkat kematangan, analisis hasil penilaian risiko, identifikasi dan analisis dampak, identifikasi dan analisis kelemahan kontrol. Berdasarkan COBIT 4.1 dipilih proses-proses yang menghasilkan masukan (input) dalam proses pengelolaan data dan memastikan keamanan sistem sebagai aktivitas dan proses dalam rancangan kebijakan dan prosedur pengelolaan data.Hasil pengukuran kinerja berdasarkan COBIT 4.1 menunjukkan bahwa kinerja DS5 dann DS11 masih kurang. Sedangkan hasil pengukuran kematangan menunjukkan proses pengelolaan data dan memastikan keamanan sistem berada pada tingkat 2 (dua), dengan harapan tingkat kematangan berada pada tingkat 4 (empat). Berdasar hasil penilaian kematangan disusun rekomendasi tindakan perbaikan untuk peningkatan kematangan, antara lain penyusunan kebijakan dan prosedur pengelolaan data dengan memperhatikan aspek keamanan sistem serta tim/kelompok kerja yang bertugas mengevaluasi dan mengawasi pelaksanaan kebijakan dan prosedur. Pengendalian dalam kebijakan dan prosedur keamanan informasi sesuai dengan ISO/IEC 27001:2005 meliputi pengendalian: organisasi keamanan informasi,pengelolaan aset informasi, keamanan SDM, keamanan fisik dan lingkungan, pengelolaan komunikasi dan operasional, pengaturan akses, keamanan informasi dalam pengadaan dan pemeliharaan sistem informasi, pengelolaan gangguan keamanan informasi, keamanan informasi dalam pengelolaan kealngsungan kegiatan, dan kepatuhan.Dalam rancangan kebijakan dan prosedur pengelolaan data dengan memperhatikan aspek keamanan informasi, COBIT 4.1 digunakan sebagai payung kebijakan tata kelola TI khususnya pada pengelolaan data; sedangkan dan ISO/IEC 27001:2005 digunakan sebagai acuan dalam penyusunan kebijakan keamanan informasi. Keduanya saling melengkapi menghasilkan kebijakan dan prosedur yang komprehensif mencakup people, process, dan technology untuk mencapai kerahasiaan, ketersediaan, dan integritas informasi. Kerahasiaan, ketersediaan, dan integritas data dan informasi dicapai melalui aktivitas dan proses serta kontrol yang sesuai untuk diterapkan.

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Certification in Directorate XYZ as one of the main activities of the Directorate XYZ can’t be separated from the role of IS / IT to support optimal certification services, which in turn can provide excellent service in certification. In order to provide excellent service certification, that is required a high-quality data, which can meet the criteria, reliability, integrity, and availability.

COBIT 4.1 and ISO / IEC 27001:2009 is an IT governance framework and information security standards that are best practices. Combine both in policy making IT governance is used in this research as a basis for drafting policies and procedures of data management, with the hope of producing a comprehensive policy and procedures and provide the benefits of information security management for organizations that implement them. The method used in this study is the observation, questionnaires and interviews based on COBIT 4.1 and ISO / IEC 27001:2009. In addition, the Delphi method was used to validate the design of policies and procedures. Based on the results of risk assessment and analysis, controls that can be applied to improve information security are selected. The controls are incorporated in the draft of information security policies and procedures. Based on the results of questionnaires and interviews, to identify and analyze the results of the measurement of maturity, gap analysis and the maturity level of performance, analysis of the results of risk assessment, identification and impact analysis, identification and analysis of control weaknesses. This selection is based on COBIT 4.1 processes that produce inputs to the data management process and ensure the security of the system as activities and processes in the design of data management policies and procedures.

The results of performance measurements based on COBIT 4.1 shows that the performance of DS5 and DS11 is still lacking. While the results of measurements show the maturity of data management and ensure the security of the system is at the level of 2 (two), in the hope of maturity level is at level 4 (four). Based on maturity assessments prepared recommendations for the improvement of the maturity of remedial actions, including design of policies and procedures for data management by taking into account the security aspects of the system and the team / work group charged with evaluating and overseeing the implementation of policies and procedures. Control the information security policies and procedures in accordance with ISO/IEC 27001:2005 covers control: the organization of information security, asset management information, human resources security, physical and environmental security, communications and operations management, access arrangements, the security of information in the procurement and maintenance of information systems, management of information security threats, business continuity management, and compliance.

In the design of policies and procedures with respect to data management aspects of information security, COBIT 4.1 is used as a reference policy governance of IT especially in data management; while and ISO / IEC 27001:2005 is used as a reference for information security policy. Both complement each other producing a comprehensive policy and procedures covering people, process, and technology to achieve confidentiality, availability, and integrity of information. Confidentiality, availability and integrity of data and information are achieved through the activities and processes and controls that are appropriate to be applied."

"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."

"This book is a comprehensive introduction to the methods and algorithms and approaches of modern data analytics. It covers data preprocessing, visualization, correlation, regression, forecasting, classification, and clustering. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. Much of the content is based on the results of industrial research and development projects at Siemens."