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市場調查報告書

政府、防衛及國防安全保障的巨量資料:2015-2020年

Big Data in Government, Defense and Homeland Security 2015 - 2020

出版商 Mind Commerce 商品編碼 329324
出版日期 內容資訊 英文 55 Pages
商品交期: 最快1-2個工作天內
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政府、防衛及國防安全保障的巨量資料:2015-2020年 Big Data in Government, Defense and Homeland Security 2015 - 2020
出版日期: 2015年05月04日 內容資訊: 英文 55 Pages
簡介

美國政府將多樣的資料 (結構化、非結構化) 及各種來源的資料,視為持續改善防衛、國防安全保障計劃相關預測力的機會。對國防安全保障來說對,尤其是軍事作戰,恐怖行動對策,及災害減輕、修復策略來說,預測分析及預測監視急速成為極為重要的工具。只在2015年,有關巨量資料可能性的利用,就約有3億3,300萬美元分配給被國防、安全的發展。

本報告提供包含資料獲得、收集及預測的防衛、國防安全保障支援中巨量資料與功能、用途及解決方案調查分析。

摘要整理

簡介

巨量資料趨勢

  • 未體系化的 (巨量) 資料管理
  • 防衛、國防安全保障中巨量資料的功能展望
  • 資料獲得、收集及檢測
  • 資料管理、整合及分析
  • 影響分析
  • 展望

巨量資料,政府及國防

  • 美國政府的安全、軍事用途支出
  • 伺服器犯罪、政府措施的成本
  • 美國國防高等研究計劃局 (DARPA) 的巨量資料提案
  • DARPA的巨量資料應用預算分析
  • 影響分析
  • 展望

國防安全保障的巨量資料

  • 巨量資料、國防安全保障的課題
  • 情報主導型安全 (IDS)
  • 安全方法而言變化的標準的巨量資料
  • 國防安全保障巨量資料安全計劃的建立
  • 影響分析
  • 展望

結論

目錄

Global governments see a range of opportunities in terms of defense, security, and public safety related improvements possible by leveraging massive amounts of data available in modern society. The US Government in particular sees data of various types (structured and unstructured) and from various sources as an opportunity to continuously improve predictive capabilities regarding its defense and homeland security programs.

For Homeland Security, Predictive Analytics and Predictive Policing are rapidly becoming critically important tools, especially to military operations, counterterrorism, and disaster mitigation and recovery strategies. In 2015 alone, about US$333 million is allocated for the advancement of defence and security, in relation to tapping the potential of the Big Data. While the government acknowledges the use of Big Data to improve measures of national defense and homeland security, there is a looming question as to how the government, the civil society and the whole state adapt their interest with Big Data and transform it as a potential and relevant tool to improve the integrity of the national sovereignty.

This research focuses on Big Data and its functional capabilities, applications, and solutions in support of defense and homeland security including data acquisition, collection, detection and prediction. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

  • Big Data companies
  • Governmental agencies
  • Social network companies
  • Telecom service providers
  • Public safety organizations
  • Military and homeland security
  • Data services and analytics companies
  • Cloud and telecom infrastructure providers

Report Benefits:

  • Big Data in defense and homeland security forecasts through 2020
  • Understand the role and importance of Big Data mitigating cybercrime
  • Identify opportunities for Big Data applications, services, and solutions
  • Identify issues surrounding Big Data security relative to governmental systems
  • Understand the importance of proactive policy decisions and Big Data solutions
  • Understand the importance of predictive analysis in import and export of goods
  • Understand the range of options for Big Data and comprehensive homeland security
  • Understand the use of Big Data for disaster recovery and counterterrorism operations

Table of Contents

EXECUTIVE SUMMARY

INTRODUCTION

BIG DATA TRENDS

  • 1.1 MANAGING UNSTRUCTURED (BIG) DATA
  • 1.2 A FUNCTIONAL PERSPECTIVE FOR BIG DATA IN DEFENSE AND HOMELAND SECURITY
  • 1.3 DATA ACQUISITION, COLLECTION AND DETECTION
  • 1.4 DATA MANAGEMENT, INTEGRATION AND ANALYSIS
  • 1.5 IMPACT ANALYSIS
  • 1.6 PROSPECTS

BIG DATA, THE GOVERNMENT AND NATIONAL DEFENSE

  • 1.7 US GOVERNMENT SPENDING FOR SECURITY AND MILITARY APPLICATIONS
  • 1.8 COST OF CYBERCRIMES AND GOVERNMENT INITIATIVES
  • 1.9 DEFENSE ADVANCED RESEARCH PROJECT AGENCY (DARPA) BIG DATA INITIATIVES
    • 1.9.1 XDATA PROGRAM
    • 1.9.2 BIG MECHANISM PROGRAM
    • 1.9.3 MUSE
    • 1.9.4 MEMEX PROGRAMS
    • 1.9.5 ADAMS
    • 1.9.6 RESILIENT CLOUDS PROGRAM
    • 1.9.7 VIDEO AND IMAGE RETRIEVAL AND ANALYSIS TOOL (VIRAT)
    • 1.9.8 NEXUS 7
    • 1.9.9 QUANTITATIVE GLOBAL ANALYTICS
    • 1.9.10 CYBERCOMPUTATIONAL INTELLIGENCE (CCI)
  • 1.10 DARPA BIG DATA APPLICATIONS BUDGET ANALYSIS
  • 1.11 IMPACT ANALYSIS
  • 1.12 PROSPECTS

BIG DATA IN HOMELAND SECURITY

  • 1.13 BIG DATA AND HOMELAND SECURITY CHALLENGES
  • 1.14 INTELLIGENCE DRIVEN SECURITY (IDS): THE NEXT GENERATION SECURITY FEATURES
    • 1.14.1 THE CASE OF MODUS OPERANDI
  • 1.15 BIG DATA AS CHANGING NORM FOR SECURITY APPROACHES
  • 1.16 STRUCTURING THE BIG DATA SECURITY PROGRAM FOR HOMELAND SECURITY
    • 1.16.1 CREATING "BIG DATA VIRTUALIZATION" FOR SECURITY APPLICATIONS
    • 1.16.2 PREDICTIVE ANALYTICS FOR DISASTER EVENTS AND COUNTERTERRORISM
    • 1.16.3 SPSS PREDICTIVE ANALYTICS
    • 1.16.4 BIG DATA PREDICTIVE POLICING
    • 1.16.5 THE BIRT SOLUTIONS
    • 1.16.6 TRANSVOYANT'S CONTINUOUS DECISION INTELLIGENCE (CDI)
    • 1.16.7 AGILEX - PHANERO SOLUTIONS
    • 1.16.8 BIG DATA AND CATASTROPHIC EVENTS
    • 1.16.9 DEPARTMENT OF HOMELAND SECURITY "THE WEATHER MAP"
    • 1.16.10 BIG DATA FOR IMPROVED AVIATION SECURITY
  • 1.17 IMPACT ANALYSIS
  • 1.18 PROSPECTS
    • 1.18.1 BIG DATA ANALYTIC TOOLS TO SEE BY 2020

CONCLUSIONS

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