Intelligent Data Analytics For Terror Threat Prediction
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Intelligent Data Analytics For Terror Threat Prediction
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Author : Subhendu Kumar Pani
language : en
Publisher: John Wiley & Sons
Release Date : 2021-02-09
Intelligent Data Analytics For Terror Threat Prediction written by Subhendu Kumar Pani and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-09 with Computers categories.
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.
Secure Edge And Fog Computing Enabled Ai For Iot And Smart Cities
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Author : Ahmed A. Abd El-Latif
language : en
Publisher: Springer Nature
Release Date :
Secure Edge And Fog Computing Enabled Ai For Iot And Smart Cities written by Ahmed A. Abd El-Latif and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Forecasting Terrorism
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Author : Sundri Khalsa
language : en
Publisher:
Release Date : 2004
Forecasting Terrorism written by Sundri Khalsa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with History categories.
The author identifies 68 indicators of terrorist activity and analyses each with a step-by-step explanation. He also outlines safeguards against 38 of the 42 common warning pitfalls. By following Khalsa's methodology, analysts can recognize and assess terrorist activity and thus provide warnings that will help prevent attacks.
The Lockwood Analytical Method For Prediction Lamp
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Author : Jonathan S. Lockwood
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2013-09-12
The Lockwood Analytical Method For Prediction Lamp written by Jonathan S. Lockwood and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-12 with Political Science categories.
The Lockwood Analytical Method for Prediction (LAMP) is a systematic technique for predicting short-term, unique behaviors. Using primarily qualitative empirical data, LAMP allows the analyst to predict the most likely outcomes for specific research questions across a wide range of intelligence problems, such as cyber threats in the U.S., the possibility of an Al Qaeda attack, the likelihood of Iran providing nuclear capability to terrorist groups, or the future actions of the Mexican drug cartel. LAMP offers an innovative and powerful method for organizing all available information based on the perceptions of the national actors, using it to make relevant predictions as to which alternate future is most likely to occur at a given moment in time. Its transparent structure enables anyone to see how an analyst gets from point A to point B to produce an intelligence estimate. LAMP differs from other analytical techniques in that it is based on determining the relative probability of a range of alternate futures, rather than attempting to determine the quantitative probability of their occurrence. After explaining its theoretical framework, the text leads the reader through the process of predictive analysis before providing practical case studies showing how LAMP is applied against real world problems, such as the possible responses of Israel, the U.S., and Lebanon to the behavior of Hezbollah or the competing visions of the future of Afghanistan. Evaluation of the method is provided with the case studies to show the effectiveness of the LAMP predictions over time. The book is complemented by a website with downloadable software for use by students of intelligence in conducting their own predictive analysis. It will be an essential tool for the analyst and the student, not only for national security issues but also for competitive intelligence.
Big Data Analytics And Intelligent Systems For Cyber Threat Intelligence
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Author : Yassine Maleh
language : en
Publisher: CRC Press
Release Date : 2023-04-28
Big Data Analytics And Intelligent Systems For Cyber Threat Intelligence written by Yassine Maleh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Computers categories.
In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromised data and sufficient losses. Massive losses and frequent attacks dictate the need for accurate and timely detection methods. Current static and dynamic methods do not provide efficient detection, especially when dealing with zero-day attacks. For this reason, big data analytics and machine intelligencebased techniques can be used. This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to advance the mission of anticipating, prohibiting, preventing, preparing, and responding to internal security. The wide variety of topics it presents offers readers multiple perspectives on various disciplines related to big data analytics and intelligent systems for cyber threat intelligence applications. Technical topics discussed in the book include: • Big data analytics for cyber threat intelligence and detection • Artificial intelligence analytics techniques • Real-time situational awareness • Machine learning techniques for CTI • Deep learning techniques for CTI • Malware detection and prevention techniques • Intrusion and cybersecurity threat detection and analysis • Blockchain and machine learning techniques for CTI
The Lockwood Analytical Method For Prediction Lamp
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Author :
language : en
Publisher:
Release Date : 2013
The Lockwood Analytical Method For Prediction Lamp written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Intelligence service categories.
Data Science In Cybersecurity And Cyberthreat Intelligence
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Author : Leslie F. Sikos
language : en
Publisher:
Release Date : 2020
Data Science In Cybersecurity And Cyberthreat Intelligence written by Leslie F. Sikos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Artificial intelligence categories.
This book presents a collection of state-of-the-art approaches to utilizing machine learning, formal knowledge bases and rule sets, and semantic reasoning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details how analyzing the likelihood of vulnerability exploitation using machine learning classifiers can offer an alternative to traditional penetration testing solutions. In addition, the book describes a range of techniques that support data aggregation and data fusion to automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified, and countermeasures to be incorporated in novel incident response and intrusion detection mechanisms.
Data Science In Cybersecurity And Cyberthreat Intelligence
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Author : Leslie F. Sikos
language : en
Publisher: Springer
Release Date : 2021-02-06
Data Science In Cybersecurity And Cyberthreat Intelligence written by Leslie F. Sikos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-06 with Computers categories.
This book presents a collection of state-of-the-art approaches to utilizing machine learning, formal knowledge bases and rule sets, and semantic reasoning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details how analyzing the likelihood of vulnerability exploitation using machine learning classifiers can offer an alternative to traditional penetration testing solutions. In addition, the book describes a range of techniques that support data aggregation and data fusion to automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified, and countermeasures to be incorporated in novel incident response and intrusion detection mechanisms.
Intelligence And Security Informatics
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Author :
language : en
Publisher:
Release Date : 2004
Intelligence And Security Informatics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computer security categories.
Intelligence And Security Informatics
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Author : Hsinchun Chen
language : en
Publisher: Springer
Release Date : 2004-08-24
Intelligence And Security Informatics written by Hsinchun Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-24 with Computers categories.
The past two years have seen signi?cant interest and progress made in national and homeland security research in the areas of information technologies, orga- zational studies, and security-related public policy. Like medical and biological research, which is facing signi?cant information overload and yet also trem- dous opportunities for new innovation, the communities of law enforcement, criminal analysis, and intelligence are facing the same challenge. As medical - formatics and bioinformatics have become major ?elds of study, the science of "intelligence and security informatics" is now emerging and attracting interest from academic researchers in related ?elds as well as practitioners from both government agencies and industry. Broadly de?ned, intelligence and security informatics is the study of the - velopmentanduseofadvancedinformationtechnologiesandsystemsfornational and homeland security related applications, through an integrated technological, organizational, and policy based approach. The First Symposium on Intelligence and Security Informatics (ISI2003) was held in June 2003 in Tucson, Arizona. It provided a stimulating intellectual forum of discussions among previously d- paratecommunities:academicresearchersininformationtechnologies,computer science, public policy, and social studies; local, state, and federal law enfor- ment and intelligence experts; and information technology industry consultants and practitioners. Building on the momentum of ISI2003, we held the Second Symposium on IntelligenceandSecurityInformatics(ISI2004)inJune2004inTucson,Arizona.