ITA Research at Aberdeen Tim Norman Co-Investigators: Nir Oren - - PowerPoint PPT Presentation

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ITA Research at Aberdeen Tim Norman Co-Investigators: Nir Oren - - PowerPoint PPT Presentation

The International Technology Alliance in Network and Information Sciences ITA Research at Aberdeen Tim Norman Co-Investigators: Nir Oren & Jeff Z. Pan ITA Project Overview 2006-2016, US DoD/UK MoD, led by IBM, ~$115M White


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The International Technology Alliance in Network and Information Sciences

ITA Research at Aberdeen

Tim Norman

Co-Investigators: Nir Oren & Jeff Z. Pan

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ITA Project Overview

§ 2006-2016, US DoD/UK MoD, led by IBM, ~$115M § White House press release, March 2012: “Since 2006, an

International Technology Alliance of industrial and academic organizations from the U.S. and UK, led by U.S. Army Research Laboratory and UK Defense Science and Technology Laboratory, have been jointly conducting collaborative research to enhance information-sharing and distributed, secure, and flexible decision-making to improve networked coalition operations.”

§ Key partners for Aberdeen: Cardiff, CMU, CUNY, UCLA,

Boeing, IBM (US & UK). 24 partners in total.

§ Supported 7 PhDs so far; 2 to start soon. 1 RF.

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§ Trust and reputation are crucial concepts in open,

dynamic systems

§ Problem: How to reliably support trust

assessment of services/information sources?

§ Solution: Exploit feature-behavior correlations to

'bootstrap' trust assessment

Trust Assessment and Decision Making

Burnett et al. “Bootstrapping Trust Assessment Through Stereotypes”, AAMAS-2010; “Trust decision-making in multi-agent systems”, IJCAI 2011; “Stereotypical Trust and Bias in Dynamic Multi-Agent Systems”, ACM-TIST.

Chris Burnett (PhD) (now TRUMP RF)

Effect of stereotyping on existing models

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§ Surveillance and task-aware decision-support require

knowledge of what individuals/groups are doing

Ø Problem: How to recognise teams and their activity? Ø Solution: Use of linear conditional random fields for incremental team &

activity recognition from position traces

  • Masato et al. “Agent-oriented incremental team and activity recognition”, IJCAI 2011

Team, Behaviour and Policy Recognition

Daniele Masato (PhD) (now Qualcomm) § Influencing others behaviour requires knowledge of their

preferences/policies

Ø Problem: How to influence others from sparse evidence? Ø Solution: Learn from dialogical evidence and background knowledge to

inform future strategy

  • Emele et al. “Argumentation strategies for plan resourcing”, AAMAS 2011; “Learning

Strategies for Task Delegation in Norm-Governed Environments”, AAMAS Journal.

David Emele (PhD) (now dot.rural RF)

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§ Need for flexible, policy-aware reasoning mechanisms in SOA § Problem: How can different policy-aware reasoning services be

employed dynamically

§ Solution: Ontological Logic Programming & OWL-POLAR

Reasoning as a Service

O P L

Geeth De Mel (ABDN PhD) IBM internship (now ARL RF) Murat Sensoy (ABDN RF) Visiting Researcher

N2 N3

R1 R4 R5

ITA Sensor Fabric

N4

SAM Portal

Pellet TrOWL Engine N

Sensoy et al. “OWL-POLAR: A framework for semantic policy representation and reasoning”, J. Web Semantics.

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Exploitation of Distributed, Uncertain and Obfuscated Information

§ Making decisions using large volume of

complex and uncertain data drawn from heterogeneous and distributed sources

§ Sharing information and making decisions

with such information across sources and consumers with varying trusts and policies

§ Constraints and characteristics: Distributed

sources, quality of information, information sharing policies, time to decision, semantic gap, cognitive overload

§ Task 6.1: Balancing the need to share and

need to know via dynamic obfuscation and

  • bfuscation-aware fusion

§ Task 6.2: Framework for discovery and

representation of relevant information and reasoning to minimize information overload

COALITION NEEDS PROJECT FOCUS Develop rigorous methods for decision-making and reasoning with uncertain & obfuscated information from diverse distributed sources.

Hard & Soft Information Sources across Coalition

Fusion ¡of ¡Obfuscated ¡ Informa3on ¡ Trust ¡with ¡Obfuscated ¡ Interac3ons ¡ Query ¡& ¡ ¡Informa3on ¡ Retrieval ¡ Presenta3on ¡of ¡ Relevant ¡Informa3on ¡ Reasoning ¡over ¡Uncertain ¡Data ¡

Task ¡6.1 ¡ Task ¡6.2 ¡

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Key Technical Accomplishments

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§ Robust combination of information from hard and soft sources in a coalition that

may be subjecting shared information to obfuscations, and where trust between providers and consumers of information may be variable

Ø Estimating trust in the presence of obfuscation Ø Fusing information from obfuscating sources Ø Reasoning about and with obfuscated information Ø Experimental validation of dynamic obfuscation and obfuscation-aware fusion

Task 1: Information Fusion in Coalition Operations under Data Obfuscation and Variable Trust

§ Minimization of information overload and time to decision by efficient querying,

retrieval and presentation of relevant facts from the deluge of data from distributed sources

Ø Framework to query & retrieve relevant facts in support of decision making Ø Framework to represent and aggregate data with uncertainty Ø Techniques to present relevant facts and answers Ø End-to-end demonstration and evaluation of the overall system

Task 2: Querying Over Distributed Coalition Data Network in Support of Decision Making

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Science of Security: Mathematics, Economics, and Systems

  • TSB/RCUK Trust Economics: Modelling behaviour, systems, policy, and
  • perations. Just finished, Final Report at

http://www.abdn.ac.uk/~csc335/TE_Final_Report_collated.pdf. About £1.3M.

  • HP’s ‘Security Analytics’ service offering: Applies TE to Security

Management.

  • TSB/RCUK Cloud Stewardship Economics: understanding agency and

stewardship in the cloud services business context. About £1.4M.

  • HP’s Cloud and Security Lab: Applying CSE to major business propositions
  • TSB/RCUK Trust Domains: Understanding security, trust, and stewardship

in the whole ecosystem: infrastructure, services, and social layers. About £1.3M.

  • FP7 SECONOMICS: mathematics and economics for policy analysis and

design in information and physical security: CNI and transport security. About €3M.

  • M. Collinson, B. Monahan, and D. Pym. A Discipline of Mathematical

Systems Modelling. College Publications, 2012.

David Pym (CS), Matthew Collinson (CS) & Julian Williams (Econ)