大数据已经不仅仅是一个时髦词语，大数据是美国国防部内部机构优先考虑的内容，它向承包商创造机会以进行情报收集、分析和网络安全分析。
美国国防部面临的新形势赋予大数据更多的含义
今年一些组织，如美国国防部高级研究计划局（Defense Advanced Research Projects Agency，DARPA）在大数据的研究和开发工作投入大资金。结果呢？先进的分析和技术，如分布式计算正在迅速成为现代化、网络化武器系统的有机组成部分。
分析表明，当前大数据在全球各地得到了极大的应用
这种转变不仅影响日益复杂的武器，而且影响军队的指挥与控制能力。面对日益减少人员数量，美国国防部的所有分支机构都将目光转向通过远处的网络化和无人指挥控制系统保证美国的作战能力。
大数据对美军网络化和无人指挥控制系统影响深远
所有的军种正在资助研大数据研发。许多与此趋势相关的新的机遇出现了。
美国各个军种在大数据经费预算上持续攀升（2014年—2016年）
构建国家网络任务部队（Building the Cyber National Mission Force）
美国网络司令部（Cyber Command）和总务管理局（the General Services Administration）近日发布信息寻求国家网络任务部队的支持。国家网络任务部队将具备从所有来源情报分析到网络运营、规划和培训的能力。要求具备“多个情报来源的情报分析能力，以及对新出现的威胁的预警能力。
国家网络任务部队将具备从所有来源情报分析到网络运营、规划和培训的能力
利用数据联合信息环境（Harnessing data for the Joint Information Environment）
美国国防信息系统局很快将发布建议，新的联合管理系统（JMS）的软件将包括先进的分析能力的要求。该JMS对美国国防部的联合区域安全堆栈的安全运行至关重要。美国国防部首席信息官称JMS作为新的商业软件，具备从貌似不直接相关的数据进行分析的能力。
=
美国国防信息系统局联合管理系统
先进的云分析（Advanced cloud analytics）
DISA也在寻求大数据分析，以增强其网络安全高级分析云（CSAAC），其维护国防部网络。承包商可以提供软件与先进的分析功能，分别是：开源的，商用现货，并提供当前CSAAC解决方案并没有提供的功能。
DISA也在寻求大数据分析
厂商应该与网络安全事业部进行沟通，或者建立与诺斯罗普·格鲁曼公司合作关系，诺格公司在2015年3月获得了值约7400万美元的合同才研发CSAAC的雅典卫城的大数据存储。
分析内部威胁（Analyzing insider threats）
国防部官员近日宣布成立国防部内部威胁管理和分析中心（DITMAC），以确定并减轻由内部威胁带来的安全挑战。2013年华盛顿海军工厂遭受袭击之后，DITMAC开始运作，2015年秋将达到初始作战能力，利用预测性分析，促进内部威胁的识别避免其成为重大危险源。
美国防部对于2013年华盛顿海军码头枪击案件的内部调查报告
展望未来（Looking Ahead）
这些机会仅仅是冰山一角。 Deltek预测称，国防大数据开支十年内将以8.7％的增长率稳步上升。
美国防部大数据市场预测（2016—2019）
政府的所有部门，民用，国防和情报部门，预计大数据技术服务每年将以9.6％增长率，软件将以8.6％进行增长。大数据相关的硬件也将增长，但速度较慢，4.6％的增长率。
美国联邦大数据分类需求预测（2016—2019）
最后，增长的大数据应用将满足网络安全和情报分析的要求，与威胁美国国家安全迅行为做斗争。
感谢编译：苏仟TX：）
文字来源：国防科技信息网
转载请注明出处：“电科防务研究”微信公众号（CETC-ETDR）
Related：
DoD's big bets on big data
Alexander Rossino, Deltek 4:35 p.m. EDT September 9, 2015
http://www.c4isrnet.com/story/military-tech/blog/business-viewpoint/2015/08/25/dods-big-bets-big-data/32321425/
Big data has proven to be more than a buzzword — it continues to be a big priority for agencies within the Department of Defense, creating opportunities for contractors who can add to intelligence gathering, analysis and cybersecurity.
This year organizations like Defense Advanced Research Projects Agency are investing big money in research and development efforts related to big data. The result? Advanced analytics and technologies like distributed computing are fast becoming integral components of modern, networked weapons systems.
This shift reflects not only the growing complexity of weapons but also of the command and control capabilities employed by today's U.S. military. Faced with dwindling numbers of personnel, all branches of the DoD are turning to networked and unmanned weapons commanded and controlled from a distance to maintain American fighting power.
DoD asks for more big data funds
The Department of Defense's 2016 budget request includes $25 million more for big data-related research and development than last year.
All of the military services are funding R&D efforts related to big data — and in aggregate that funding has grown annually (see above chart). The data reflects projects in the FY 2016 Defense Research, Development, Test, and Enhancement (RDT&E) budget request, which has yet to be approved, that are dedicated primarily to a form of big data R&D.
A number of new opportunities have appeared that are related to this trend.
Building the Cyber National Mission Force
U.S. Cyber Command and the General Services Administration recently issued a request for information seeking support for the Cyber National Mission Force. Related task orders will provide capabilities that range from all-source intelligence analysis to cyber operations, planning and training. The RFI requests analysis capabilities to fuse "reports from multiple intelligence sources (HUMINT, SIGINT, IMINT, MASINT) to provide intelligence preparation of the battlespace, target development, and early warning of emerging threats."
Harnessing data for the Joint Information Environment
The Defense Information Systems Agency is soon expected to release a request for proposals for new Joint Management System (JMS) software that will include advanced analytics capabilities. The JMS is critical to the secure functioning of DoD's Joint Regional Security Stacks. Terry Halvorsen, the DoD CIO, stated recently concerning the JMS that the new commercial software should have the ability to "harvest security insights from data that is not intuitively security-related."
Advanced cloud analytics
DISA is also seeking big data analytics to add to its Cyber Security Advanced Analytics Cloud (CSAAC), which defends DoD networks where they connect to the Internet. There is an opportunity for contractors to provide software with advanced analytical capabilities that are: open source, commercial-off-the-shelf, and which offer features that the current CSAAC solution does not already provide.
Cleared vendors should speak to the right people in the cybersecurity division at DISA or establish a mutually beneficial relationship with Northrop Grumman, the contractor that was awarded a $74 million task order in March 2015 for operation of the Acropolis big data storage portion of the CSAAC.
Analyzing insider threats
Defense officials recently announced the establishment of a Defense Insider Threat Management and Analysis Center (DITMAC) to identify and mitigate the security challenges posed by insider threats. Developed in the aftermath of the 2013 shooting at the Washington Navy Yard, the DITMAC will reach initial operating capability in the fall of 2015. Its capabilities will utilize an array of predictive analytics that facilitate the identification of insider threats before they become a major hazard.
Looking Ahead
These opportunities are just the tip of the iceberg. Deltek forecasts that Defense spending on big data will rise steadily for the rest of the decade at a compound annual growth rate (CAGR) of 8.7%.
DoD big data market forecast 2016-2019
Defense spending on big data will increase through the rest of the decade at a compound annual growth rate of 8.7%.
Across all sectors of government — civilian, defense and intelligence — the big data technology segments forecast to experience the highest growth are services (9.6% CAGR) and software (8.6% CAGR). Big data-related hardware will also grow, but at a slower pace (4.6% CAGR).
Federal big data segment forecasts
From 2016 through 2019, big data-related services and software will grow faster than big data-related hardware across civilian, defense and intelligence government sectors.
Lastly, the biggest drivers of growth in big data use at the DoD are expected to be cybersecurity and intelligence analysis requirements, as the department wrestles with a rapidly evolving array of threats to its operations and U.S. national security.
