The International Technology Alliance in Network and Information Sciences
ITA Research at Aberdeen Tim Norman Co-Investigators: Nir Oren - - PowerPoint PPT Presentation
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
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.
§ 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
§ 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)
§ 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.
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 ¡
Key Technical Accomplishments
7
§ 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
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