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"This book serves as a security practitioner’s guide to today’s most crucial issues in cyber security and IT infrastructure. It offers in-depth coverage of theory, technology, and practice as they relate to established technologies as well as recent advancements. It explores practical solutions to a wide range of cyber-physical and IT infrastructure protection issues.Composed of 11 chapters contributed by leading experts in their fields, this highly useful book covers disaster recovery, biometrics, homeland security, cyber warfare, cyber security, national infrastructure security, access controls, vulnerability assessments and audits, cryptography, and operational and organizational security, as well as an extensive glossary of security terms and acronyms.Written with instructors and students in mind, this book includes methods of analysis and problem-solving techniques through hands-on exercises and worked examples as well as questions and answers and the ability to implement practical solutions through real-life case studies. For example, the new format includes the following pedagogical elements :• Checklists throughout each chapter to gauge understanding• Chapter Review Questions/Exercises and Case Studies• Ancillaries: Solutions Manual; slide package; figure files"

"This textbook is for courses in cyber security education that follow National Initiative for Cybersecurity Education (NICE) KSAs work roles and framework, that adopt the Competency-Based Education (CBE) method. The book follows the CBT (KSA) general framework, meaning each chapter contains three sections, knowledge and questions, and skills/labs for Skills and Abilities. The author makes an explicit balance between knowledge and skills material in information security, giving readers immediate applicable skills. The book is divided into seven parts: Securely Provision; Operate and Maintain; Oversee and Govern; Protect and Defend; Analysis; Operate and Collect; Investigate. All classroom materials (in the book an ancillary) adhere to the NICE framework.Mirrors classes set up by the National Initiative for Cybersecurity Education (NICE) Adopts the Competency-Based Education (CBE) method of teaching, used by universities, corporations, and in government trainingIncludes content and ancillaries that provide skill-based instruction on compliance laws, information security standards, risk response and recovery, and more"

"Penelitian ini membahas tentang membangun model machine learning pada aspek manusia dalam kesadaran keamanan informasi. Model dibangun melalui pendekatan classification dan clustering melalui proses secara garis besar meliputi: impor data, menangani data tidak lengkap, penyusunan dataset, feature scaling, membangun model serta mengevaluasi model. Dataset disusun berdasarkan hasil kuisioner yang merujuk The Human Aspects of Information Security Questionnaire pada masyarakat di Indonesia. Hasil model classification dievaluasi dengan beberapa metode yaitu analisa k-fold Cross Validation, Confusion Matrix, Receiver Operating Characteristic, serta perhitungan skor pada masing-masing model. Salah satu algoritma pada classification yang digunakan yaitu Support Vector Machine memiliki kinerja dengan akurasi 99,7% dan error rate sebesar 0,3%. Algoritma pada clustering salah satunya yaitu DBSCAN memiliki nilai adjusted rand index selalu mendekati nilai 0.

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This research discusses building a machine learning model on the human aspect of information security awareness. The model built through a classification and clustering approach through a broad outline process, including importing data, handling incomplete data, compiling datasets, feature scaling, building models, and evaluating models. Dataset arranged based on the results of a questionnaire that referred to The Human Aspects of Information Security Questionnaire to Indonesia society. The results of the classification model evaluated by several methods, namely k-fold Cross Validation analysis, Confusion Matrix, Receiver Operating Characteristics, and score calculation for each model. One of the algorithms for classification, the Support Vector Machine, has a performance with an accuracy of 99.7% and an error rate of 0.3%. One of the algorithms in clustering is that DBSCAN has an adjusted rand index value consistently close to 0."

"What does it take to build a successful corporate alliance? The dramatically high failure rate -- estimated at 60 to 75% -- suggests that alliance managers often lack the knowledge and skills to determine strategic fit, negotiate win-win agreements, align organizational cultures, and -- perhaps most important of all -- get people to work together productively. This book provides the practical guidance needed to make alliances work. In The Strongest Link, strategic alliance experts Slowinski and Sagal draw on over 40 years of experience working with companies to form strong, profitable collaborations, including AT&T, NEC, Battelle, Eli Lilly, and Procter & Gamble. Packed with stories of these and other companies, the book features exclusive, proven methodologies for planning, structuring, and negotiating an alliance, as well as strategies for training participants in collaborative management."