Draft EU Project Proposal
Project acronym: Safeguards
Project title: An
Intelligent Agents Organization to Enhance Dependability and Survivability
Large Complex Critical Infrastructures
note, confidentional , draft 25/01/01
Nowadays, the surviving and
proper functioning of global industrial and information infrastructures
are basic requirements for their users and managers.
Modern industrial infrastructures are heterogenious
distributed systems. They include different levels of automation, regulation,
and control, but, for the safety reason, so called "intelligent" functions
are related to their humans operators.
In general, the functioning
of Large Complex Critical Infrastructures, LCCI (such
as, electricity, gas, telecommunication, transport networks) are supported
by, always more and more complex, different networks of computer systems.
management of survivability
of these jointed networked systems requires:
support for their human managers and operators
capacity of intrusion detection and autorepairing capabilities
capacity of local autonomous
interventions and task execution
capacity of the development
of modifications and self-adaptation.
all above tasks should be realizable by spatially distributed organizations
of autonomous specialized supervision and intervention units. The application
of the human organizations metaphor and generic models of immunological
mechanisms of living organisms and epidemiological defence of human organizations,
should provide general patterns and ontologiesforthe
modeling of an organization of software intelligent agents focused on the
supporting of the LCCI functionning.
Malicious- and Accidental-Fault Tolerance for Internet Applications:
intelligent agents organizations composed of tightly networked embedded
autonomous software units should enhance the dependability and survivability
this proposal we are focused on the generic, task-independent cognitive
intelligence of such agents and on the architecture of their role-dependent
a test case, an organization of Safeguards(similar
to the idea of softbots, http://www.botspot.com/)
with the role of an internal system supervisoryincluding
an auto-defence againstdifferent
intrusions and hackers attacks,is
proposed. Here, the main goal is to avoid unexpected widespread network
failures and infrastructural disasters. Safeguards should learn role (=
competencies+ responsibility+ duties+ data access), accept tasks and evolve
and adapt to the changing environment improving, in parallel, their acting
Mobile Software Agents: A Categorisation of Defence Initiatives:
Security and Management Services in Open Networks Project:
project proposal is focused on two main research objectives:
Analysis and development
of an architecture and functionality models of a Safeguards as a
cooperating intelligent cognitive agents.
Analysis and development
of a generic model of Safeguards-agency (a hierarchical organization
Validation of the generic, domain-independent
solutions by incremental prototyping in a preselected test domain.
primary objective requires development of semi–intelligent reasoning, goal-modification
and learning structures with sensing, communication and intervention possibilities
adequate to their environment. Safeguards knowledge should include such
rules and procedures as various access controls, recognition of loss of
checking, diagnostics ofloss of
functionality, intrusions and damage propagation, mitigation of losses
and protection of integration of the LCCI components.
second objective also requires the development ofthe
agent interactions and communication
the both objectives an identification of software platform is necessary.
Its choice will depend on the individual experience and preferences of
the project partners. Here we should mention that the development of a
full-scale multi-agent software infrastructure using one of available MAS
(Multi Agent System) technologiesis
notthe objective of this proposal.
to simulate and validate the developed ontologies, models and methods using
a relatively simple but incremental demonstrative software.
of cognitive models interfacing decision-making models with cooperation
and proper design methodologies of multi-task interactions with the intervention
environment, are considered as the main item of this proposal.
project results will be a mindware (computer implementable methods, models
and methodologies) and their benchmark based validation.
results should provide a contribution tothe
foundations ofstandards of the safeguards
design, organization, and their mission in Large Complex Critical Infrastructures.
Main Key RTD Aspects
The main research aspects of the
project are focused on the following domains:
of Intelligent Cognitive Agents
Communication Platform for resident and mobile agents
for Malicious Agents and Intrusions-Detection
assessment, risk management and Defense Strategies
and contributions of these research lines should be assessedin
the context of the test-case
provided by the industrial partner.
Project Safeguards has strongly cross-disciplinary character: it requires
at least four types of partners:
practitioners which will provide Information, Preferences
and Knowledge (IPK) relative to the description
and functioning of LCCIs,
and benchmark building.
with the tasks of knowledge acquisition,hierarchical
and flat ontologies development, IPK formalization, and the validation
of incremental prototypes.
with the implementation task, knowing agent–oriented software engineering
for the Project Management and the Results Exploitation and Dissemination.
following specialist contributions are requested: interdisciplinary system
researchers, cognitivists, knowledge and software engineers, network experts. At
a consequence, the partners should represent industry, software companies
and academic and research centers.
workpackages of theSafeguards
Feasibility study: Systemic
analysis of the main
critical aspects of the project and available technologies.
Analysis and herarchical
modelling of intervention domains, Safeguards
and Safeguard-agency roles and architecture
Definition of problem
ontology and the elaboration of a family of benchmarks with increasing
with parallel simulation and validation of the
in the form of scientific and technical publications and organized workshops.
–domain expert, end user
– modeller and knowledge engineering:
-cognitive modelling and human-like