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AFRL / FAA Programs Status Report

AFRL / FAA Programs Status Report. Lt. Matt Manger Rome Research Site 6 May 2003. Overview. CyberWolf Air Force Enterprise Defense (AFED) Distributed Agents for Information Warfare (DAIWatch). CyberWolf Outline. Program Description Task Goals Progress. Objective Architecture

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AFRL / FAA Programs Status Report

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  1. AFRL / FAA Programs Status Report Lt. Matt Manger Rome Research Site 6 May 2003

  2. Overview • CyberWolf • Air Force Enterprise Defense (AFED) • Distributed Agents for Information Warfare (DAIWatch)

  3. CyberWolf Outline • Program Description • Task Goals • Progress • Objective • Architecture • Device Experts (DE) • Problem Statement • Implementation

  4. Cyberwolf Objective • Objective • Develop a versatile, scaleable, and extensible enterprise security management and CND tool • Utilizes expert system rule-based correlation of IDS and network management events • Goal • Reduce the workload of network security personnel responsible for maintaining security of the enterprise while at the same time providing more accurate network situational assessment information

  5. CyberWolf Problem Long-suffering, overworked Security Administrator Millions of Enterprise Security Events,

  6. CyberWolf Architecture Just a Few Incidents Worthy of Human Attention Much happier Security Administrator (only deals with a few incidents). CyberWolf Manager Lower-Intensity Alert Stream from “Device Experts” NT Device Experts UNIX Log Device Experts Router Device Experts COTS IDS Device Experts Firewall Device Experts Many More Device Experts … Millions of Events, Some With Security Implications

  7. CyberWolf Implementation CyberWolf Manager Systems, IDS, Network Elements & Other Devices SecurSite Information Rich GUI - Instant Visibility to Threats - Simple English Descriptions - Color-coded and Prioritized Security Incident List CyberWolf Experts • Capture Event Data from • Enterprise Security Components • - Translate Events into • Cyberwolf Syntax • - Provide Analysis and Filtering • Decentralized Intelligence for • Maximum Scalability AutoAdvisor Rule-based Correlation Engine - Automatically Tracks Incidents - Automates Analysis and Response - Ships with build-in tracking tools - Easily Add Custom Enterprise Rules Learning Repository Database - Cumulative Tracking of all Events, Alerts, and Incidents - Searchable for Creating Reports and Audit trails KnowledgeBase Device-Specific Information - Expert Analysis of Device Output - Update Device Rules and Tables - Controls Alert Stream Using Expert-defined Thresholds Real-time Email & Pager Alerts Automated Trouble Ticket Submission Incidents! Events SafePath Encrypted and Authenticated Socket-based Communications Alerts

  8. CyberWolf Device Experts Each DE utilizes less than 3% of CPU during operation • Gauntlet v4.5/5.5 Firewall DE • SideWinder Firewall DE • Raptor Firewall DE • Pix Firewall DE • Zone Alarm DE • Black Ice DE • RealSecure v6.0 IDS DE • NetRadar IDS DE • Snort IDS DE • ASIMM/CIDDs DE (Gov’t only) • HP Openview NNM DE • SNMP DE • Nmap DE • Cisco Router DE • Ascend Router DE • Windows 95/98/NT/2000 DE • Solaris DE • Linux DE • ASIM/CIDDs

  9. CyberWolf / FAA Goals • Phase 1 • Demo of CyberWolf’s automated attack analytics capabilities for the CSIRC • Phase 2 • Input from ISS sensors not currently connected to the CSIRC (ISS RealSecure). Removal of discrepancies of sensor input including false positives, data reduction, cross correlation and integration.

  10. CyberWolf / FAA Progress • Money on contract in late February • Beginning evaluation later this month • Contract to be completed by September

  11. Air Force Enterprise Defense (AFED)

  12. AFED Outline • Program Description • Task Goals • Progress • Quad Chart • Components • Architecture • Capabilities

  13. AFED Quad • Objectives • Provide a Defense-in-Depth capability that integrates existing event information: • Policy Enforcement; Change/Configuration Management; Threat & Vulnerability Assessment with Countermeasure recommendations; Intrusion Detection; Network Management • Fuse Information Assurance (IA) and Network Management data into a Common Enterprise Picture • Provide a consistent visual environment for information portrayal Infrastructure Interface • Approach • Spiral tech exploration, development, validation, and feedback process • Payoffs • Integrates existing enterprise sensors and provides enhanced Information Assurance and Enterprise Defense capabilities in support of the AF Protect-Detect-React/Restore model. • Assists in the automated detection and reporting of information attacks, containment and restoration of compromised systems, and planning/protection of enterprise assets. • Supports entire NOSC mission bycross-sharing of data among NOSC crew • Automated Reporting for Containment and IO Targeting • Mission Situational Assessment • Automated Courses of Action Transition Agents: ESC/DIGC, ESC/DIW End Users: MAJCOM NOSCs, AFNOSC, CAOC-x

  14. AFED Goals • Merge network management and security tools and data to provides a better enterprise picture • Provide analysts with improved host, security, and course of action information • Simplify access to data via drill down menus from the same GUI • Reduce the workload of analysts • Provide data correlation capabilities • Combines network and host based sensors • Demonstrates R&D technology to operational units

  15. AFED Architecture Enterprise Management Situational Assessment ALPHA CHARLIE BRAVO DELTA Information Operations Vulnerabilities Risk Analysis Open Source (DNS, Whois) Network Control (Firewalls, Routers) Host/Network Intrusion Detection Network/Link Management Action/Protection Preemptive Measures & Courses of Action Reporting Analyst/Organization Rules • Security Policies • Complex Attack Methodologies • INFOCON Rules • Reporting Rules • Courses of Action Oracle Database Algorithms/KB • Schema/Tables • Access Policies • Peer-to-Peer Sharing Data Storage & Analysis Visualization • Data Reduction • Fusion • Correlation • Data Mining • Trend Analysis • Knowledge Base • Advanced Intrusion Detection • Analysts GUI Screens • System Operation/ Control (WEB) Sensor Input

  16. AFED Components Visualization/Control Decision Support/COA Reporting Java GUI Web Incident Report ARS NetFlare Policy Enforcement Avi Hierarchy AFSSI 5027 CMU NetFlare Vulnerability Assessment TVC Host Based Agents ISS DAIWF Outpost Network Mgmt CyberWolf HPOV IntrusionDetection Sidewinder ASIM/CIDD JIDS Sidewinder Raptor NetRadar ITA AIA Correlation & Data Mining Real Secure Cisco NetRanger ASIM DB Data Direct Other Data Web Srv Cmd/Config App Svrs AFED/AIDE RT DB AFED Trend DB App Svrs App Svrs Bridge Automated Response

  17. AFED Capabilities • Intrusion Detection • Merges event and session data from COTS/GOTS sensors (e.g., ASIM/CIDDS, Netradar, Real Secure, …) • Translates outputs into standard categories • Visualization • Provide a consistent visual environment • Data views customized for crew positions • Policy Enforcement • Allows users to define and alert on site policies • Allows sites to map network and monitors changes in host OS and services • DAA/CTO • Automates DAA and CTO processes • Verify and update CTO information via monitoring

  18. AFED Capabilities • Vulnerability Assessment • Commercial Network scanner integrated • Host based checks performed • Network Management • Provides correlation between network events and intrusion events • Provides access to host software and hardware inventories to assist identifying vulnerabilities, and security compliance • Modeling & Simulation • Allows decision makers to perform tradeoff analysis of course-of-actions • Reporting • Automate the reporting process

  19. AFED / FAA Goals • Optimization of IDS rule sets • Using AFED, operator reduced daily events by 60% at AFRL site • Cross site/sensor correlation • Hierarchical reporting capability • Comparison of different sensors

  20. AFED / FAA Progress • Funds contracted in late February • Received 1 months worth of sensor data • Awaiting additional sensor’s data • Data loaded into AFED database and appropriate data views created • Administrator beginning to examine/optimize rule set

  21. an ISO 9000 Certified Company Distributed Agents for Information Warfare (DAIWatch)

  22. DAIWatch Outline • Program Description • Task Goals • Progress • Discriminators • Architecture • Technology • Benefits

  23. DAIWatch Discriminators DAIWatchTM provides information security protection against the most sophisticated attackers including the Cyber Terrorist vs. the current emphasis of commercial products on hackers • Firewalls and related layered products cannot protect the network from internal activities: DAIWatch approach is host based. • Current technologies are signature based: DAIWatch uses activity recognition • Existing Systems are stovepiped: DAIWatch integrates across existing information system monitors • Current Software is static: DAIWatch uses smart dynamic agents.

  24. DAIWatch Technology 1 • Sensor Agents • Login Times • Files accessed • Programs Executed • Physical Configuration (e.g. modem) • Fusion Agent Functions • Profile User Activity • Individual • Role-based • (engineer, accountant, etc) • Identify Anomalies • Recognize Network Abuse/Attacks

  25. DAIWatch Architecture Existing information security systems are designed to prevent remote entry from casual hackers. Professionals gain entry by stealing, buying or guessing passwords; or through casual employees such as maintenance staff. DAIWF integrates data from conventional security systems with internally deployed sensors to find these most sophisticated attackers. 750+ computers per various hubs and subnets Wandering agent roams the network looking for malicious code and other configuration issues. Wireless Devices DAIWatch Components Mobile Sensor Agent Wandering Sensor Agent Broker Agent Distribution Manager Fusion Agent Control/Management Mobile agents are automatically deployed where needed based on risk. DAIWatch maintains database and fuses information from all over network to find sophisticated threats and reduce false alarms from simple traffic analysis.. IDS Router Broker agents collect data from existing devices (e.g. firewalls) and DAIWatch Sensors. Internet Firewall

  26. DAIWatch Benefits Next Generation Network Security Manager Focused on Sophisticated Attacks • Protects the Network - Recognizes Network Attacks, Especially Sophisticated Ones (Eg. Man-in-the-middle) Including Insider/Masquerader Threats • Reduces Liability Exposure - Improves Compliance With New Government Mandates (E.G. GLB, Unauthorized Access) • Saves Money (H/W) - Identifies Network Abuse (Webservers, Login Anomalies, Software Install, Policy Violations, Etc.) • Saves Money (Staff) - Reduces System Administration Time Via Reasoning, Presentation and Drilldown of Data From Other Security Products • Improves Effectiveness of Security System - Identifies Intentional and Inadvertent Security Holes (Eg. Mis-configured Firewall)

  27. DAIWatch / FAA Goals • Provide real time insider and outsider threat analysis for all network areas including health status of the network. • Phase 1 • Deploy to limited number of machines and receive accreditation to progress • Phase 2 • Initial deployment of approximately 40-50 hosts would provide an opportunity for demonstrating the assessment and value of this tool in a controlled network environment.

  28. DAIWatch / FAA Progress • Funds contracted on 12 March 2003 • FAA received DAIWatch Server • ORINCON/FAA set up the server and configured DAIWatch • 1 Windows 2000 client installed and running • Undergoing 1 week evaluation • Waiting for approval software evaluation board • Status / User Meeting on 15 May - ORINCON/FAA

  29. Summary • CyberWolf • Air Force Enterprise Defense (AFED) • Distributed Agents for Information Warfare (DAIWatch)

  30. Questions?? Lt. Matt Manger Rome Research Site Matthew.Manger@rl.af.mil (315) 330-1874 6 May 2003

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