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reliability and emphasizes strategic risk management over tools and tactics In addition to defending against malicious hackers and code (eg, viruses), IA includes other corporate governance issues (that embrace the smart data paradigm), such as privacy, compliance, audits, business continuity, and disaster recovery Further, while information security draws primarily from computer science, IA is interdisciplinary and draws from multiple elds, including accounting, fraud examination, forensic science, management science, systems engineering, security engineering, and criminology, in addition to computer science Therefore, IA is best thought of as a superset of information security Information assurance is not just Computer Security because it includes security issues that do not involve computers The US Government s National Information Assurance Glossary de nes IA as measures that protect and defend information and information systems by ensuring their availability, integrity, authentication, con dentiality, and non-repudiation These measures include providing for restoration of information systems by incorporating protection, detection, and reaction capabilities
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A smart data paradigm would not be complete without consideration of security and information assurance Information operations protect and defend information and information systems by ensuring con dentiality, integrity, availability, authentication and nonrepudiation IA regulations apply to the following items: Department of Central Intelligence Directive (DCID)/Joint Air Force Army and Navy (JAFAN)/DoD Information Assurance Certi cation and Accreditation Program (DIACAP), and the DoD Information Technology Security Certi cation and
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Accreditation Process (DITSCAP) This includes enabling restoration of information systems by incorporating protection, detection, and reaction to invaders who would harm our smart data Many regulations require IA such as the 1998 Presidential Directive 63 Poor security endangers careers, businesses, agencies, and countries If the system does not have authority to operate (ATO) because of IA noncompliance, the system will not be allowed to connect to another Department of Defense (DoD) network The evolution of IA can be seen in Figure 414 There are several types of security threats that our smart data paradigm needs to recognize Internal threats consist of 90% of all attacks and involve disgruntled employees, spies, terrorists, and unintentional damage External threats include hackers, terrorist groups, foreign countries, and protesters For example, the United States Strategic Command (US STRATCOM) is attacked an average 80 times per day SIPRNet is not completely secure and it was compromised in 2006 TACLANE and encryption do not guarantee security A crucial difference in the way that top management looks at IA, from a smart data approach, is demonstrated by leading with executive authority over data and enterprise performance optimization instead of only following technology, to ensure security Prevention not reaction is the future of IA Smart data ideas on IA are tested in a variety ways that appear as standalone projects and proofs-of-concept This does not mean that the smart data approach to IA is necessarily on the bleeding edge, which usually connotes great risk It just means that priorities have not been properly aligned with the idea such that enterprises are exploiting the potential advantages While technology solutions are suf cient for aggressive implementation, the following preventative directives are surely supportive of smart data ideas The DoD has mandated that all Information Assurance Vulnerability Management (IAVM) alerts are received and acted on by all commands, agencies, and organizations within the DoD The IAVM process provides noti cation of IA vulnerability alerts (IAVA) and requires that each organization take appropriate actions in accordance with the issued alert The DoD 8570 Directive provides guidance and procedures for the training, certi cation, and management of the DoD workforce conducting IA functions in assigned duty positions The objective of the DoD IA workforce training and
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certi cation program is to establish a baseline of validated (tested) knowledge that is relevant, recognized, and accepted department-wide This applies to technical and management categories and provides information and guidance on reporting metrics and the implementation schedule The National Information Assurance Partnership is a US government initiative between the National Institute of Standards and Technology (NIST) and the National Security Agency (NSA) The goal of this partnership is to increase the level of consumer trust in information systems and networks In reality, many of the IA principles revolve around both smart data and data quality issues Smart data is a group of processes and activities, which focus on meeting the executive s information needs, within the context of both security and privacy concerns While much attention is given to improving infrastructure for processing data and communicating globally, de cient is attention to improving the data itself: data quality, data characteristics, data exchange, and data management and security We advocate that strategic focus be given to data as it will lead executives and their enterprises to more precise solutions and to optimized performance For example, in a healthcare setting, the goal of smart data is to collect, manage, use, and store information that will improve organizational scienti c/technical, patient-care, customer satisfaction, and administrative processes We are contributing to optimizing enterprise performance with a strategy that will vastly improve enterprise data resource management re ected in more ef cient and cost effective IT support that produces high impact results for executive and operations management users Smart data describes data that has been engineered to have certain superior characteristics and that is a product of state-of-the-art data engineering disciplines such that it is interoperable and readily exchangeable among quali ed members of an enterprise user community Smart data is an executive strategy and tool for exacting higher performance enterprise-wide It operates by leveraging state-of-the-art infrastructure and enterprise services Joint Commission on Accreditation of Healthcare Organization (JCAHO) Perspective Managed smart data processes may be affected by the IT infrastructure; however, it is important to rst understand and de ne smart data from the Joint Commission on Accreditation of Healthcare Organization (JCAHO) perspective The JCAHO provides a useful basis for conceptualizing smart data management in a healthcare unit [23] Management of information plays a supportive role in quality performance of smart data This role is a common thread throughout the TQM literature Information and analysis are core components of the JCAHO Management of information, data quality, and information assurance play supportive roles in making smart data processes more ef cient and effective The healthcare sector is an information-laden industry However, today s healthcare information requirements differ from those of the past, in terms of both the
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