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Predictive Analytics And Homeland Security Applications
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Book Synopsis Predictive Analytics and Homeland Security Applications by : Colleen McCue
Download or read book Predictive Analytics and Homeland Security Applications written by Colleen McCue and published by CRC Press. This book was released on 2010-08-15 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive analytics and data mining technologies and techniques are increasingly being used by the intelligence, counterterrorism, national security and law enforcement communities as part of standard operating procedures. Used appropriately by trained analysts, this technology can do much to unearth patterns in fraud and financial computer crimes, as well as with regard to suspicious activities. Written by a known expert, this work helps agencies become familiar with advanced data mining and provides trainees with a manual covering the use of data mining in operational and investigative procedures. Building on concepts from the author’s previously published work, this volume offers a look into specific predictive analytic techniques, fully explaining how the techniques can be used to combat criminal activity and terrorism. To reinforce the training, it discusses detailed cases in which analysis was used to research and uncover criminal activity and events. The author examines many real-world issues including the debate over security concerns versus legal and privacy issues.
Book Synopsis Data Mining and Predictive Analysis by : Colleen McCue
Download or read book Data Mining and Predictive Analysis written by Colleen McCue and published by Butterworth-Heinemann. This book was released on 2014-12-30 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis, 2nd Edition, describes clearly and simply how crime clusters and other intelligence can be used to deploy security resources most effectively. Rather than being reactive, security agencies can anticipate and prevent crime through the appropriate application of data mining and the use of standard computer programs. Data Mining and Predictive Analysis offers a clear, practical starting point for professionals who need to use data mining in homeland security, security analysis, and operational law enforcement settings. This revised text highlights new and emerging technology, discusses the importance of analytic context for ensuring successful implementation of advanced analytics in the operational setting, and covers new analytic service delivery models that increase ease of use and access to high-end technology and analytic capabilities. The use of predictive analytics in intelligence and security analysis enables the development of meaningful, information based tactics, strategy, and policy decisions in the operational public safety and security environment. Discusses new and emerging technologies and techniques, including up-to-date information on predictive policing, a key capability in law enforcement and security Demonstrates the importance of analytic context beyond software Covers new models for effective delivery of advanced analytics to the operational environment, which have increased access to even the most powerful capabilities Includes terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis
Book Synopsis Intelligent Data Analytics for Terror Threat Prediction by : Subhendu Kumar Pani
Download or read book Intelligent Data Analytics for Terror Threat Prediction written by Subhendu Kumar Pani and published by John Wiley & Sons. This book was released on 2021-02-09 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis. This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.
Book Synopsis The Mathematical Sciences' Role in Homeland Security by : National Research Council
Download or read book The Mathematical Sciences' Role in Homeland Security written by National Research Council and published by National Academies Press. This book was released on 2004-05-15 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical sciences play a key role in many important areas of Homeland Security including data mining and image analysis and voice recognition for intelligence analysis, encryption and decryption for intelligence gathering and computer security, detection and epidemiology of bioterriost attacks to determine their scope, and data fusion to analyze information coming from simultaneously from several sources. This report presents the results of a workshop focusing on mathematical methods and techniques for addressing these areas. The goal of the workshop is to help mathematical scientists and policy makers understand the connections between mathematical sciences research and these homeland security applications.
Book Synopsis Terrorism Informatics by : Hsinchun Chen
Download or read book Terrorism Informatics written by Hsinchun Chen and published by Springer Science & Business Media. This book was released on 2008-06-17 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is nothing less than a complete and comprehensive survey of the state-of-the-art of terrorism informatics. It covers the application of advanced methodologies and information fusion and analysis. It also lays out techniques to acquire, integrate, process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications. The book details three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. It systematically examines the current and ongoing research, including recent case studies and application of terrorism informatics techniques. The coverage then presents the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges.
Book Synopsis Predictive Analytics by : Dursun Delen
Download or read book Predictive Analytics written by Dursun Delen and published by FT Press. This book was released on 2020-12-15 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and much more. Balancing theory and practice, Delen presents intuitive conceptual illustrations, realistic example problems, and real-world case studies—including lessons from failed projects. It's all designed to help you gain a practical understanding you can apply for profit. * Leverage knowledge extracted via data mining to make smarter decisions * Use standardized processes and workflows to make more trustworthy predictions * Predict discrete outcomes (via classification), numeric values (via regression), and changes over time (via time-series forecasting) * Understand predictive algorithms drawn from traditional statistics and advanced machine learning * Discover cutting-edge techniques, and explore advanced applications ranging from sentiment analysis to fraud detection
Book Synopsis Applied Risk Analysis for Guiding Homeland Security Policy and Decisions by : Samrat Chatterjee
Download or read book Applied Risk Analysis for Guiding Homeland Security Policy and Decisions written by Samrat Chatterjee and published by John Wiley & Sons. This book was released on 2021-02-09 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents various challenges faced by security policy makers and risk analysts, and mathematical approaches that inform homeland security policy development and decision support Compiled by a group of highly qualified editors, this book provides a clear connection between risk science and homeland security policy making and includes top-notch contributions that uniquely highlight the role of risk analysis for informing homeland security policy decisions. Featuring discussions on various challenges faced in homeland security risk analysis, the book seamlessly divides the subject of risk analysis for homeland security into manageable chapters, which are organized by the concept of risk-informed decisions, methodology for applying risk analysis, and relevant examples and case studies. Applied Risk Analysis for Guiding Homeland Security Policy and Decisions offers an enlightening overview of risk analysis methods for homeland security. For instance, it presents readers with an exploration of radiological and nuclear risk assessment, along with analysis of uncertainties in radiological and nuclear pathways. It covers the advances in risk analysis for border security, as well as for cyber security. Other topics covered include: strengthening points of entry; systems modeling for rapid containment and casualty mitigation; and disaster preparedness and critical infrastructure resilience. Highlights how risk analysis helps in the decision-making process for homeland security policy Presents specific examples that detail how various risk analysis methods provide decision support for homeland security policy makers and risk analysts Describes numerous case studies from academic, government, and industrial perspectives that apply risk analysis methods for addressing challenges within the U.S. Department of Homeland Security (DHS) Offers detailed information regarding each of the five DHS missions: prevent terrorism and enhance security; secure and manage our borders; enforce and administer our immigration laws; safeguard and secure cyberspace; and strengthen national preparedness and resilience Discusses the various approaches and challenges faced in homeland risk analysis and identifies improvements and methodological advances that influenced DHS to adopt an increasingly risk-informed basis for decision-making Written by top educators and professionals who clearly illustrate the link between risk science and homeland security policy making Applied Risk Analysis for Guiding Homeland Security Policy and Decisions is an excellent textbook and/or supplement for upper-undergraduate and graduate-level courses related to homeland security risk analysis. It will also be an extremely beneficial resource and reference for homeland security policy analysts, risk analysts, and policymakers from private and public sectors, as well as researchers, academics, and practitioners who utilize security risk analysis methods.
Book Synopsis Department of Homeland Security Bioterrorism Risk Assessment by : National Research Council
Download or read book Department of Homeland Security Bioterrorism Risk Assessment written by National Research Council and published by National Academies Press. This book was released on 2008-12-03 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mission of Department of Homeland Security Bioterrorism Risk Assessment: A Call for Change, the book published in December 2008, is to independently and scientifically review the methodology that led to the 2006 Department of Homeland Security report, Bioterrorism Risk Assessment (BTRA) and provide a foundation for future updates. This book identifies a number of fundamental concerns with the BTRA of 2006, ranging from mathematical and statistical mistakes that have corrupted results, to unnecessarily complicated probability models and models with fidelity far exceeding existing data, to more basic questions about how terrorist behavior should be modeled. Rather than merely criticizing what was done in the BTRA of 2006, this new NRC book consults outside experts and collects a number of proposed alternatives that could improve DHS's ability to assess potential terrorist behavior as a key element of risk-informed decision making, and it explains these alternatives in the specific context of the BTRA and the bioterrorism threat.
Book Synopsis The Application and Impact of Data Conversion Research and Analysis Techniques in Support of Homeland Security by :
Download or read book The Application and Impact of Data Conversion Research and Analysis Techniques in Support of Homeland Security written by and published by . This book was released on 2007 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this project is to develop a system that integrates comprehensive technical data packages on critical facilities for access and use by first responders and response planners and trainers. During the period of performance we created ERVE, the Emergency Responders Virtual Environment. The system seamlessly integrates 2D and 3D models of facilities, virtual reality, knowledge management, geographic information systems, live camera feeds, chemical plume modeling, emergency text-messaging notification, and intelligent agent technologies. ERVE has the potential to dramatically improve how emergency responders and planners prepare for and respond to disaster across federal, state and local lines. The system enables collaborative management of emergency events, effective mitigation of their impact on critical assets across a geographic area and provides renewable on-demand knowledge about critical facilities. We successfully developed a prototype that was used to model a local high school in a low income community.
Book Synopsis Federal Data Science by : Feras A. Batarseh
Download or read book Federal Data Science written by Feras A. Batarseh and published by Academic Press. This book was released on 2017-09-21 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agencies have a serious need to implement intelligent data management methods, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making. No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area. Written and reviewed by academics, industry experts, and federal analysts, the problems and challenges of developing data systems for government agencies is presented by actual developers, designers, and users of those systems, providing a unique and valuable real-world perspective. Offers a range of data science models, engineering tools, and federal use-cases Provides foundational observations into government data resources and requirements Introduces experiences and examples of data openness from the US and other countries A step-by-step guide for the conversion of government towards data-driven policy making Focuses on presenting data models that work within the constraints of the US government Presents the why, the what, and the how of injecting AI into federal culture and software systems
Book Synopsis Information technology major federal networks that support homeland security functions : report to congressional requesters. by :
Download or read book Information technology major federal networks that support homeland security functions : report to congressional requesters. written by and published by DIANE Publishing. This book was released on with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Review of the Department of Homeland Security's Approach to Risk Analysis by : National Research Council
Download or read book Review of the Department of Homeland Security's Approach to Risk Analysis written by National Research Council and published by National Academies Press. This book was released on 2010-09-10 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The events of September 11, 2001 changed perceptions, rearranged national priorities, and produced significant new government entities, including the U.S. Department of Homeland Security (DHS) created in 2003. While the principal mission of DHS is to lead efforts to secure the nation against those forces that wish to do harm, the department also has responsibilities in regard to preparation for and response to other hazards and disasters, such as floods, earthquakes, and other "natural" disasters. Whether in the context of preparedness, response or recovery from terrorism, illegal entry to the country, or natural disasters, DHS is committed to processes and methods that feature risk assessment as a critical component for making better-informed decisions. Review of the Department of Homeland Security's Approach to Risk Analysis explores how DHS is building its capabilities in risk analysis to inform decision making. The department uses risk analysis to inform decisions ranging from high-level policy choices to fine-scale protocols that guide the minute-by-minute actions of DHS employees. Although DHS is responsible for mitigating a range of threats, natural disasters, and pandemics, its risk analysis efforts are weighted heavily toward terrorism. In addition to assessing the capability of DHS risk analysis methods to support decision-making, the book evaluates the quality of the current approach to estimating risk and discusses how to improve current risk analysis procedures. Review of the Department of Homeland Security's Approach to Risk Analysis recommends that DHS continue to build its integrated risk management framework. It also suggests that the department improve the way models are developed and used and follow time-tested scientific practices, among other recommendations.
Book Synopsis Data Mining and Homeland Security by :
Download or read book Data Mining and Homeland Security written by and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining has become one of the key features of many homeland security initiatives. Often used as a means for detecting fraud, assessing risk, and product retailing, data mining involves the use of data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. In the context of homeland security, data mining can be a potential means to identify terrorist activities, such as money transfers and communications, and to identify and track individual terrorists themselves, such as through travel and immigration records. While data mining represents a significant advance in the type of analytical tools currently available, there are limitations to its capability. One limitation is that although data mining can help reveal patterns and relationships, it does not tell the user the value or significance of these patterns. These types of determinations must be made by the user. A second limitation is that while data mining can identify connections between behaviors and/or variables, it does not necessarily identify a causal relationship. Successful data mining still requires skilled technical and analytical specialists who can structure the analysis and interpret the output. Data mining is becoming increasingly common in both the private and public sectors. Industries such as banking, insurance, medicine, and retailing commonly use data mining to reduce costs, enhance research, and increase sales. In the public sector, data mining applications initially were used as a means to detect fraud and waste, but have grown to also be used for purposes such as measuring and improving program performance. However, some of the homeland security data mining applications represent a significant expansion in the quantity and scope of data to be analyzed. Some efforts that have attracted a higher level of congressional interest include the Terrorism Information Awareness (TIA) project (now-discontinued) and the Computer-Assisted Passenger Prescreening System II (CAPPS II) project (nowcanceled and replaced by Secure Flight). Other initiatives that have been the subject of congressional interest include the Multi-State Anti-Terrorism Information Exchange (MATRIX), the Able Danger program, the Automated Targeting System (ATS), and data collection and analysis projects being conducted by the National Security Agency (NSA). As with other aspects of data mining, while technological capabilities are important, there are other implementation and oversight issues that can influence the success of a project's outcome. One issue is data quality, which refers to the accuracy and completeness of the data being analyzed. A second issue is the interoperability of the data mining software and databases being used by different agencies. A third issue is mission creep, or the use of data for purposes other than for which the data were originally collected. A fourth issue is privacy. Questions that may be considered include the degree to which government agencies should use and mix commercial data with government data, whether data sources are being used for purposes other than those for which they were originally designed, and possible application of the Privacy Act to these initiatives. It is anticipated that congressional oversight of data mining projects will grow as data mining efforts continue to evolve. This report will be updated as events warrant.
Author :U. S. Department U.S. Department of Homeland Security Publisher :CreateSpace ISBN 13 :9781501025532 Total Pages :38 pages Book Rating :4.0/5 (255 download)
Book Synopsis Data Mining Report to Congress by : U. S. Department U.S. Department of Homeland Security
Download or read book Data Mining Report to Congress written by U. S. Department U.S. Department of Homeland Security and published by CreateSpace. This book was released on 2014-09-02 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Department of Homeland Security (DHS) Privacy Office (DHS Privacy Office or Office) is providing this report to Congress pursuant to Section 804 of the Implementing Recommendations of the 9/11 Commission Act of 2007 (9/11 Commission Act), entitled the Federal Agency Data Mining Reporting Act of 2007 (Data Mining Reporting Act or the Act). This report discusses activities currently deployed or under development in the Department that meet the Data Mining Reporting Act's definition of data mining, and provides the information set out in the Act's reporting requirements for data mining activities. In the 2011 DHS Data Mining Report, the DHS Privacy Office discussed the following Department programs that engage in data mining, as defined by the Data Mining Reporting Act: (1) The Automated Targeting System (ATS), which is administered by U.S. Customs and Border Protection (CBP) and includes modules for inbound (ATS-N) and outbound (ATS-AT) cargo, land border crossings (ATS-L), and passengers (ATS-P); and (2) The Data Analysis and Research for Trade Transparency System (DARTTS), which is administered by U.S. Immigration and Customs Enforcement (ICE). This year's report, covering the period December 2011 through December 2012, presents the complete descriptions of ATS-N, ATS-AT, ATS-L, ATS-P, and DARTTS provided in the 2011 DHS Data Mining Report, with updates on modifications, additions, and other developments that have occurred in the current reporting year, including use of ATS by DHS components other than CBP. In addition, the DHS Privacy Office has identified two new uses of ATS that are discussed below: the vetting of non-immigrant and immigrant visa applications in ATS-P for the U.S. Department of State; and the United States Coast Guard's Interagency Operations Center ATS-Enhanced Watchkeeper System. The 2011 Report included a brief summary of CBP's Analytical Framework for Intelligence (AFI), which was then in development. This year's report includes a detailed description of AFI as an operational system. Additional information on DARTTS and on the Transportation Security Administration's (TSA) Secure Flight Program's use of ATS is being provided separately to Congress in two annexes to this report that contain Law Enforcement Sensitive Information and Sensitive Security Information, respectively. The Homeland Security Act of 2002, as amended (Homeland Security Act), expressly authorizes the Department to use data mining, among other analytical tools, in furtherance of its mission. DHS exercises its authority to engage in data mining in the programs discussed in this report, all of which the DHS Chief Privacy Officer has reviewed for potential impact on privacy. The Chief Privacy Officer's authority for reviewing DHS data mining activities stems from three principal sources: the Privacy Act of 1974, as amended (Privacy Act); the E-Government Act of 2002 (E-Government Act); and Section 222 of the Homeland Security Act, which states that the Chief Privacy Officer is responsible for "assuring that the [Department's] use of technologies sustains, and does not erode, privacy protections relating to the use, collection, and disclosure of personal information."
Book Synopsis Application of Big Data for National Security by : Babak Akhgar
Download or read book Application of Big Data for National Security written by Babak Akhgar and published by Butterworth-Heinemann. This book was released on 2015-02-14 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context Indicates future directions for Big Data as an enabler of advanced crime prevention and detection
Download or read book Threat Forecasting written by John Pirc and published by Syngress. This book was released on 2016-05-17 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools. Readers will gain valuable security insights into unstructured big data, along with tactics on how to use the data to their advantage to reduce risk. Presents case studies and actual data to demonstrate threat data visualization techniques and threat simulation tools Explores the usage of kill chain modelling to inform actionable security intelligence Demonstrates a methodology that can be used to create a full threat forecast analysis for enterprise networks of any size
Book Synopsis Improving Homeland Security Decisions by : Ali E. Abbas
Download or read book Improving Homeland Security Decisions written by Ali E. Abbas and published by Cambridge University Press. This book was released on 2017-11-02 with total page 787 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are we safer from terrorism today and is our homeland security money well spent? This book offers answers and more.
