Security Risk Management is the definitive guide for building or running an information security risk management program. This book teaches practical techniques that will be used on a daily basis, while also explaining the fundamentals so students understand the rationale behind these practices. It explains how to perform risk assessments for new IT projects, how to efficiently manage daily risk activities, and how to qualify the current risk level for presentation to executive level management. While other books focus entirely on risk analysis methods, this is the first comprehensive text for managing security risks. This book will help you to break free from the so-called best practices argument by articulating risk exposures in business terms. It includes case studies to provide hands-on experience using risk assessment tools to calculate the costs and benefits of any security investment. It explores each phase of the risk management lifecycle, focusing on policies and assessment processes that should be used to properly assess and mitigate risk. It also presents a roadmap for designing and implementing a security risk management program. This book will be a valuable resource for CISOs, security managers, IT managers, security consultants, IT auditors, security analysts, and students enrolled in information security/assurance college programs. Named a 2011 Best Governance and ISMS Book by InfoSec Reviews Includes case studies to provide hands-on experience using risk assessment tools to calculate the costs and benefits of any security investment Explores each phase of the risk management lifecycle, focusing on policies and assessment processes that should be used to properly assess and mitigate risk Presents a roadmap for designing and implementing a security risk management program
Essay aus dem Jahr 2015 im Fachbereich Informatik - Allgemeines, , Sprache: Deutsch, Abstract: Cloud computing is a new computing technology which has attracted much attention. Unfortunately, it is a risk prone technology since users are sharing remote computing resources, data is held remotely, and clients lack of control over data. Therefore, assessing security risk of cloud is important to establish trust and to increase the level of confidence of cloud service consumers and provide cost effective and reliable service and infrastructure of cloud providers. This paper provides a survey on the state of the art research on risk assessment in the cloud environment.
With the opening of the Indian economy, many multinational corporations are shifting their manufacturing base to India. This includes setting up green field projects or acquiring established business firms of India. The region of this business unit is expanding globally. The variety and size of the customer base is expanding and the business risk related to bad debts is increasing. Close monitoring and analysis of payment trends helps to predict customer behavior and predict the chances of customer financial strength. The present manufacturing companies generate and store tremendous amount of data. The amount of data is so huge that manual analysis of the data is difficult. This creates a great demand for data mining to extract useful information buried within these data sets. One of the major concerns that affect companies investments and profitability is bad debts; this can be reduced by identifying past customer behavior and reaching the suitable payment terms. The Clustering and Prediction module was implemented in WEKA - a free open source software written in Java. This study model can be extended to the development of a general purpose software package to predict payment trends of customers in any organisation. Prof. Jeeva Jose was awarded PhD in Computer Science from Mahatma Gandhi University, Kerala, India and is a faculty member at BPC College, Kerala. Her passion is teaching and areas of interests include World Wide Web, Data Mining and Cyber laws. She has been in higher education since year 2000 years and has completed three research projects funded by UGC and KSCSTE. She has authored and published five books. She has published more than twenty research papers in various refereed journals and conference proceedings. She has edited three books and has given many invited talks in various conferences. She is a recipient of ACM-W Scholarship provided by Association for Computing Machinery, New York.
This project presents the performance analysis of Particle swarm optimization (PSO), hybrid PSO and Bayesian classifier to calculate the epileptic risk level from electroencephalogram (EEG) inputs. PSO is an optimization technique which is initialized with a population of random solutions and searches for optima by updating generations. PSO is initialized with a group of random particles (solutions) and then searches for optima by updating generations. Hybrid PSO differs from ordinary PSO by calculating inertia weight to avoid the local minima problem. Bayesian classifier works on the principle of Bayes rule in which it is the probability based theorem. The results of PSO, hybrid PSO and Bayesian classifier are calculated and their performance is analyzed using performance index, quality value, cost function and classification rate in calculating the epileptic risk level from EEG.
Das Buch bietet einen praxisbezogenen Leitfaden für das Informationssicherheits-, IT- und Cyber-Risikomanagement im Unternehmen - es ist branchenneutral und nimmt Bezug auf relevante Konzepte und Standards des Risikomanagements und der Governance (z.B. COBIT, NIST SP 800-30 R1, ISO 31000, ISO 22301 und ISO/IEC 270xx-Reihe). Der Autor stellt integrierte Lösungsansätze in einem Gesamt-Risikomanagement vor. Dabei behandelt er systematisch, ausgehend von der Unternehmens-Governance, die fachspezifischen Risiken in einem beispielhaften Risikomanagement-Prozess. Der Leser erhält alles, was zur Beurteilung, Behandlung und Kontrolle dieser Risiken in der Praxis methodisch erforderlich ist. Diese 5. Auflage ist auf den aktuellen Stand der Compliance-Anforderungen und der Standardisierung angepasst und geht in einem zusätzlichen, neuen Kapitel speziell auf die Cyber-Risiken und deren Besonderheiten ein. Anhand von Beispielen wird ein Ansatz für das Assessment der Cyber-Risiken sowie in der Massnahmen zur adäquaten Behandlung gezeigt. Hans-Peter Königs, Dipl. El. Ing. und MBA, ist Geschäftsführer der IT Risk KM Consulting GmbH sowie Dozent an der Hochschule Luzern - Informatik, in den Zertifikats- und Master-Studiengängen (CAS und MAS) für Information Security. Nach langjähriger Tätigkeit als Corporate Security Officer liegen die Schwerpunkte seiner heutigen Beratertätigkeit in den Bereichen Risikomanagement, IT-Risikomanagement, Geschäftskontinuitäts- und IT-Notfall-Management sowie in der Informationssicherheit.
Bachelorarbeit aus dem Jahr 2012 im Fachbereich Informatik - Wirtschaftsinformatik, Note: keine, Marmara Üniversitesi, Sprache: Deutsch, Abstract: ABSTRACT Cloud computing has been a frequently discussed approach in recent years. This approach is based on applications and services being kept on the remote servers and usage of these application and services via devices with internet connection. In Cloud Computing all the resources and services are provided with Pay as you use model. Therefore, the businesses are able to choose and use an appropriate model for themselves without having to make new investments. In addition to lowering the operating costs it brings other benefits such as simplicity, flexibility, developing new business models. On the other hand, the most important question mark of the Cloud Computing is security issues. However these concerns are prevented with a variety of security measures. In this study, content, benefits, risks and in an architectural way the technical structure of the Cloud Computing are explained. In the last part of my study, a companys computing processes are analyzed and according to the outcomes, a cloud computing model has been developed.
Masterarbeit aus dem Jahr 2011 im Fachbereich Informatik - Wirtschaftsinformatik, Note: 1,3, Hochschule München, Sprache: Deutsch, Abstract: Scrum gehört zu den agilen Projektmanagementmethoden und es bedarf eines Umdenkens seitens von Kunden und Management. Anders als bei klassischen Methoden, wird in Scrum auf selbstorganisierte Teams und flache Hierarchien großen Wert gelegt. Die Masterarbeit konzentriert sich auf die Einführung von Scrum in ein thailändisches IT-Unternehmen. Hierbei wurden kulturelle, organisatorische und technische Aspekte mit Hilfe des Problemlösungszyklus analysiert und Ziele definiert. Anschließend sind Lösungen nach Scrum und alternative Ansätze evaluiert worden. Für eine Bewertung wurden die drei Faktoren Kosten, Zeit und Risiko mit Punkten gewichtet um die Lösungen später im Maßnahmenkatalog vergleichen zu können. Als Ergebnis kam heraus, dass die zuvor definierten Ziele mit minimalen Anforderungen aus dem Scrum Framework umgesetzt werden können. Zusätzlich ist ein maximaler Lösungsansatz in Betracht gezogen worden. Hierbei tragen alternative Lösungsansätze dazu bei, Scrum als Ganzes zu adaptieren und unterstützen die Umsetzung. ABSTRACT [ENGLISH ] Scrum is one of the agile project management methods and requires a rethinking of customers and management. Unlike classical methods, Scrum set great values on self-organized teams and flat hierarchies. This master thesis focuses on implementing the Scrum Framework for an IT company in Thailand. On this occasion, cultural, organizational and technical aspects were analyzed using the problem solving cycle and objectives defined. Afterwards solutions to Scrum and alternative approaches have been evaluated. For an assessment, weighted points were categorized in three factors of cost, time and risk to compare the solutions later in the action plan. As a result, it was revealed that the previously defined goals can be implemented with the minimum requirements of the Scrum framework. In addition, a maximum approach has been considered. Regarding to this, alternative approaches help to adapt Scrum as a whole and support the implementation.
Use this book to learn how to conduct a timely and thorough Risk Analysis and Assessment documenting all risks to the confidentiality, integrity, and availability of electronic Protected Health Information (ePHI), which is a key component of the HIPAA Security Rule. The requirement is a focus area for the Department of Health and Human Services (HHS) Office for Civil Rights (OCR) during breach investigations and compliance audits. This book lays out a plan for healthcare organizations of all types to successfully comply with these requirements and use the output to build upon the cybersecurity program. With the proliferation of cybersecurity breaches, the number of healthcare providers, payers, and business associates investigated by the OCR has risen significantly. It is not unusual for additional penalties to be levied when victims of breaches cannot demonstrate that an enterprise-wide risk assessment exists, comprehensive enough to document all of the risks to ePHI. Why is it that so many covered entities and business associates fail to comply with this fundamental safeguard? Building a HIPAA Compliant Cybersecurity Program cuts through the confusion and ambiguity of regulatory requirements and provides detailed guidance to help readers: Understand and document all known instances where patient data exist Know what regulators want and expect from the risk analysis process Assess and analyze the level of severity that each risk poses to ePHI Focus on the beneficial outcomes of the process: understanding real risks, and optimizing deployment of resources and alignment with business objectives What You´ll Learn Use NIST 800-30 to execute a risk analysis and assessment, which meets the expectations of regulators such as the Office for Civil Rights (OCR) Understand why this is not just a compliance exercise, but a way to take back control of protecting ePHI Leverage the risk analysis process to improve your cybersecurity program Know the value of integrating technical assessments to further define risk management activities Employ an iterative process that continuously assesses the environment to identify improvement opportunities Who This Book Is For Cybersecurity, privacy, and compliance professionals working for organizations responsible for creating, maintaining, storing, and protecting patient information
Teaches techniques for building applications that can handle large quantities of traffic, as well as great variability in traffic without impacting quality of service, covering such topics as availability, risk management, and scaling application.
Further Developments in Operational Research is a collection of articles on fields such as behavioral science, corporate planning, and artificial intelligence. Subjects in forecasting, risk analysis, and network analysis are likewise reviewed. The book discusses statistical forecasting in detail. Graphs, networks, and uses of such networks are provided. A chapter of the book covers the creation and implementation of expert systems. Risk engineering is an integrated approach to all aspects of risk analysis. It identifies and quantifies uncertainty and advances methods in order to modify associated risks through effective and efficient decisions. A review of the models used in forecasting is then provided. This section includes concepts such as hypergraphs, network flows, and tools of graph theory. The historical background and developments in artificial intelligence are also featured in the book. Statistical forecasting is presented completely. The book can serve as a useful tool for programmers, forecasters, statisticians, psychologists, students, and researchers.