(U //FOUO) Typical SIGINT Data Calls/Questions How many sites do we - PowerPoint PPT Presentation

Dec 19, 2022 •283 likes •334 views

:~ ~ ' . ~ - :! - ~ r ; -~ " i~ . ~ -: - I~Ter - ~ . ~I , - ~.r. (U //FOUO) Typical SIGINT Data Calls/Questions How many sites do we have in the region? How many records are they 1. producing? What type of coverage do we

:~ ~ ' .· ~ - · :! ·- ·~ ·r ; -~ " i~ . · ~ -: - I~Ter - ~ . ~I , - ~.r. (U //FOUO) Typical SIGINT Data Calls/Questions How many sites do we have in the region? How many records are they 1. producing? What type of coverage do we have on country X? 2. What type of collection and volume do we get out of site A? How do these 3. types/volumes compare against site B? Against site C? (U tt Fouo) Ways to Get Answers Map out the physical location of SIGINT assets 1. Send out a data call based on best guesses for who can answer the 2. question Review static reports/spreadsheets from previous data calls 3. Ask a 30 4. tf · · : ", .. · TOP SECRET//SI//NOFORN
BOUNDLES~NFORMANT E E (U//FOUO) Use Big Data technology to query SIGINT collection in the cloud to produce near real-time business intelligence describing the agency's available SIGINT infrastructure and coverage. · (U // Fouo) Key Questions How many records are collected for an organizational unit (e.g. FORNSAT) or 1. country? Are there any visible trends? 2. What assets collect against a specific country? What type of collection? 3. What is the field of view for a specific site? What type of collection? 4. (U // Fouo) Potential Users Strategic decision makers (leadership team) 1. Tactical users (mission and collection managers) 2. TOP SECRET 1/SI//NOFORN
(U //FOUO) Current focus is on SIGINT/COMINT 1) (U //FOUO) Review every valid DNI and DNR metadata record passing 2) through the NSA SIGINT infrastructure (U //FOUO) For the Map View, only display aggregated counts of records with a a) normalized number or an administrative region populated . (U//FOUO) For the Org View, display aggregated counts of every valid record . b) (U//FOUO) Raw data, analytics, and back-end database are all conducted in 3) the cloud (HDFS, MapReduce, Cloudbase). (U//FOUO) BOUNDLESSINFORMANT is hosted entirely on corporate services and leverages FOSS technology (i.e. available to all NSA developers). TOP SECRET 1/SI//NOFORN

Recommend

Military Packaging Sarah Gedrich UNCLASSIFIED//FOUO UNCLASSIFIED//FOUO Major US Bases

UNCLASSIFIED//FOUO Military Packaging Sarah Gedrich UNCLASSIFIED//FOUO UNCLASSIFIED//FOUO Major US Bases UNCLASSIFIED//FOUO UNCLASSIFIED//FOUO Environmental Conditions UNCLASSIFIED//FOUO UNCLASSIFIED//FOUO Modes of Transportation

390 views • 16 slides

(U) Financial Sector Cyber Security UNCLASSIFIED//FOUO UNCLASSIFED//FOUO UNCLASSIFIED//FOUO

UNCLASSIFIED//FOUO (U) Financial Sector Cyber Security UNCLASSIFIED//FOUO UNCLASSIFED//FOUO UNCLASSIFIED//FOUO (U) Cyber Event: (U) 15 August Foreign cyber actors targeted a foreign oil company in a large-scale coordinated cyber attack,

435 views • 11 slides

Supply Chain Risk Management Trixie Brewer HQ AFMC/A4R FOUO - For Official Use Only FOUO

FOUO For Official Use Only Air Force Materiel Command Supply Chain Risk Management Trixie Brewer HQ AFMC/A4R FOUO - For Official Use Only FOUO For Official Use Only Great Power Competition, Military Civilian Fusion Under great

237 views • 12 slides

Understand your Design Typical Questions PRACE Autumn School 2013 - Industry Oriented HPC

Understand your Design Typical Questions PRACE Autumn School 2013 - Industry Oriented HPC Simulations, September 21-27, University of Ljubljana, Faculty of Mechanical Engineering, Ljubljana, Slovenia Content Typical Questions How to

401 views • 16 slides

MSC Paint Contract Overview January 2020 UNCLASSIFIED//F /FOUO OH, THE PROBLEMS OPR :

MILITARY S Y SEALIFT FT COMMA MMAND ND MSC Paint Contract Overview January 2020 UNCLASSIFIED//F /FOUO OH, THE PROBLEMS OPR : UNCLASSIFIED//FOUO ### 2 OH, THE PROBLEMS OPR : UNCLASSIFIED//FOUO 3 OH, THE PROBLEMS OPR :

634 views • 39 slides

ECSEL 2018 CALLS Simona Rucareanu Call Coordinator 1 Call related questions/ECSEL

ECSEL 2018 CALLS Simona Rucareanu Call Coordinator 1 Call related questions/ECSEL HelpDesk : calls@ecsel.europa.eu Calls coordinator: Simona Rucareanu Backup calls coordinator: Bahija Ziane 2 ECSEL Call Forum 6 March 2018

499 views • 38 slides

Data Representation and Data Representation and Remote Procedure Calls Remote Procedure Calls

Data Representation and Data Representation and Remote Procedure Calls Remote Procedure Calls Srinidhi Varadarajan Topics Topics External data representation Motivation Approaches NDR, ASN.1, and XDR Remote procedure calls

707 views • 41 slides

Emergency Management Overview Jim Platt Deputy G-34 703-692-2803 james.w.platt2.civ@mail.mil

UNCLASS/FOUO UNCLASS/FOUO AMERICAS ARMY: THE STRENGTH OF THE NATION Agenda Army G-3/5/7 Department of the Army Emergency Management Overview Jim Platt Deputy G-34 703-692-2803 james.w.platt2.civ@mail.mil UNCLASS/FOUO 1 UNCLASS/FOUO

499 views • 16 slides

Mashup Your Data with Free Data API Options February 18, 2010 Typical data.gov

Mashup Your Data with Free Data API Options February 18, 2010 Typical data.gov Problem The publishing of government data on the Web only bridges the gap half-way. Without the APIs to access the data, a developer is faced with

231 views • 7 slides

Of undistinguished Tuesday Teas & Beer Calls 08-2012 03-2017 Tuesday Tea back in 2012

Of undistinguished Tuesday Teas & Beer Calls 08-2012 03-2017 Tuesday Tea back in 2012 08-2012 08-2012 09-2013 joint department typical Tuesday Tea email in 2013 08-2012 09-2013 typical UDLS email in 2013 08-2012 09-2013 typical

351 views • 23 slides

kill Run default signal handler! Process Process A B kill signal(SIGINT, func) Process

Process Process A B kill Run default signal handler! Process Process A B kill signal(SIGINT, func) Process Process A B signal(SIGINT, func) Process Process A B kill Run fun signal handler! Terminate process Generate Core

506 views • 23 slides

Findings and Recommendations September 2011 Calls into VDN: 82,850 Calls Answered

Findings and Recommendations September 2011 Calls into VDN: 82,850 Calls Answered (ACCESS & 211): 32,717 Calls Abandoned: 13,978 (42%) Average Wait Time: 39 m minut nutes Customer Service Feedback: Question 8.

308 views • 20 slides

A ROADMAP FOR Implementing FORWARD THROUGH the Calls to Action FERGUSON PROCESS 1 12/7/15

12/7/15 A ROADMAP FOR Implementing FORWARD THROUGH the Calls to Action FERGUSON PROCESS 1 12/7/15 THE PROCESS SO FAR Typical Collective Impact Ferguson Commission Network Mindset Supports Detailed Universa l Member existing

401 views • 13 slides

What We Learned From the Mid-Year Check-In Calls: Successes & Challenges Mid-Year Calls

What We Learned From the Mid-Year Check-In Calls: Successes & Challenges Mid-Year Calls Asked state contact and contractor (if applicable) to be on calls Asked states to fill out work plan in advance Calls took around 1 hr.

396 views • 15 slides

CSE 351: The Hardware/Software Interface Section 4 Procedure calls Procedure calls In x86

CSE 351: The Hardware/Software Interface Section 4 Procedure calls Procedure calls In x86 assembly, values are passed to function calls on the stack Perks: Concise, easy to remember Drawbacks: Always requires memory accesses In

496 views • 14 slides

Recursion 1 Recursion n A process by which a function calls itself repeatedly Either

Recursion 1 Recursion n A process by which a function calls itself repeatedly Either directly. n X calls X Or cyclically in a chain. n X calls Y, and Y calls X n Used for repetitive computations in which each action is stated in terms of a

519 views • 51 slides

Recursion A process by which a function calls itself repeatedly. Either directly. X

1/28/2016 Recursion A process by which a function calls itself repeatedly. Either directly. X calls X. Or cyclically in a chain. X calls Y, and Y calls X. Used for repetitive computations in which each action is stated in

290 views • 10 slides

Object-Relational Mapping Consider a typical business scenario Business data resides on

Object-Relational Mapping Consider a typical business scenario Business data resides on relational DBMS's Business applications are coded using OOPL's These applications are data driven (i.e. data intensive) A typical interaction

243 views • 10 slides

Data Representation Sean Barker 1 Typical Data Sizes Data Type Bytes char 1 short 2 int

Data Representation Sean Barker 1 Typical Data Sizes Data Type Bytes char 1 short 2 int 4 long 8 float 4 double 8 Sean Barker 2 Numbering Systems Decimal Binary Hex 0 0 0000 1 1 0001 2 2 0010 3 3 0011 4 4 0100 5 5

331 views • 8 slides

Annual Alumni Presentation 27 October, 2018 864th Engineer Battalion Pacemakers!

UNCLASSIFIED//FOUO Annual Alumni Presentation 27 October, 2018 864th Engineer Battalion Pacemakers! UNCLASSIFIED//FOUO UNCLASSIFIED//FOUO 864 th EN BN LTC Johnston CSM Arredondo E 864 E E E E E E E 22 557 571 610 570 ESC

373 views • 24 slides

Outline: A. Wisdoms calls 1. Wisdom calls To salvation (1:20 - 4:27) To wealth (8)

Outline: A. Wisdoms calls 1. Wisdom calls To salvation (1:20 - 4:27) To wealth (8) To Life (9) 2. Folly calls To condemnation (5) To poverty (6) To death (7) B. Wisdoms contrasts

657 views • 26 slides

Lecture 04: Understanding System Calls System calls are functions that user programs use to

Lecture 04: Understanding System Calls System calls are functions that user programs use to interact with the OS and request some core service be executed on their behalf. Examples of system calls we've already seen this quarter: open ,

108 views • 8 slides

An introduction to the Census and Administrative data LongitudinaL Studies Hub (CALLS Hub) Dr

An introduction to the Census and Administrative data LongitudinaL Studies Hub (CALLS Hub) Dr Fiona M Cox, Project Manager University of St Andrews Structure of the LSs Scottish Longitudinal Study Maintained & Supported Northern Ireland

222 views • 18 slides

Notes Linear Algebra Assignment 1 is out (questions?) Last class: we reduced the problem

Notes Linear Algebra Assignment 1 is out (questions?) Last class: we reduced the problem of optimally interpolating scattered data to solving a system of linear equations Typical: often almost all of the computational work in

215 views • 3 slides