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    Conviction Model for Incident Reaction Architecture

    Monitoring based on Automatic Sensors Alert

    Detection

    Christophe Feltus - Djamel Khadraoui

    Public Research Centre Henri Tudor, Luxembourg-Kirchberg, Luxembourg

    [email protected]

    October 13-16, 2013

    mailto:[email protected]:[email protected]:[email protected]:[email protected]
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    Table of contents

    2

    Introduction

    Leading Case Study

    Modelling the agents responsibility

    Conviction analysis

    Case Study validation

    Conclusions

    October 2013 SMC IEEE conference

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    Introduction

    - CI are infrastructure essential for the functioning of a society and

    economy

    - CI are monitored and protected by SCADA system (Supervisory

    Control and Data Acquisition)

    - SCADA operates at different abstraction levels of the CI and aregenerally composed of agents system which needs to accurately

    collaborate

    We observe :

    - No integrated approach to support the agents behavior in crisissituationsi.e. no guarantee about the agent ability to perform its

    responsibilities after delegation/assignment

    October 2013 SMC IEEE conference 3

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    Leading Case

    October 2013 SMC IEEE conference 4

    PEP (Policy Enforcement Point)

    enforces security policies

    provided by the PDP

    PIE (Policy Instantiation

    Engine) is the agent that

    receives information about

    attacks from the ACE and

    instantiates new security

    policies to react to the

    attack

    PDP (Policy Decision Point) receives the new

    security policies defined by the PIE and deploys

    (validates) them at the enforcement points

    (PEP);

    ACE (Agent Correlation

    Engine) is the agent in

    charge of receiving alerts

    coming from network nodes,

    to correlates the information

    and to forward confirmedalert to the PIE

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    SCADA inside

    5

    Conviction of

    responsibility

    performance ?

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    The Agent Responsibility model

    6

    Commitment

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    Responsibility concepts definitions

    The taskis an action to use or transform an object performed by an agent

    The responsibilityis a state assigned to an agent to signify him its

    obligations and accountabilities regarding a task

    The accountability is a duty tojustify the performance of a task to someone

    else under threat of sanction. Accountability is a type of obligation to report

    the achievement, maintenance or avoidance of some given state to an

    authority and, as consequence, is associated to an obligation.

    The assignment is the action of linking an agent to a responsibility.

    Delegation process is the transfer of an agents responsibility assignment to

    another agent.

    7

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    Responsibility concepts definitions

    The capabilitydescribes the requisite qualities, skills or resources

    necessary to perform a task. Capability may be declined through knowledge

    or know-how, possessed by the agent such as ability to make decision, its

    processing time, its faculty to analyze a problem, and its position on the

    network.

    The rightencompasses facilities required by an agent to fulfill his obligations

    e.g. the access right that the agent gets once he is assigned responsible.The commitment pledged by the agent related to this assignment represents

    his required engagement to fulfill a task and the conviction that he does it

    in respect of good practices.

    The trust is the reliance that an agent act as it is requested.

    For didactic reason, we consider in this paper that a trust level of 10 is

    high and a trust level of 0 is low.

    8

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    Agent responsibility in the case study

    Because of the size of the paper, only the four most importantconcepts are instantiated requirements

    The obligations concerning the task (in red),

    The capabilities (in blue),

    The rights (in green),

    The Commitment represented as a trust value (in black).

    Cf tables

    9

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    Case study PEPs requierments

    10

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    Case study PDPs and ACEs requierments

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    Guarantee about the agent ability to

    perform its responsibilities

    It is necessary, for an agent, that:

    Rights:should be appropriate to satisfy the agents obligations.

    Capability: should be below its capability. Moreover such capability should enable it to fulfill

    its obligations

    Level of Trust: should be higher or equal to the minimum level required specified

    Based on the value of the Right, the Capability and the Trust:

    The Conviction A for fulfillment of Obligation O by an Agent with right R,

    Capability C and Trust T is:

    A0(R, C, T) = 0 if (R0R) (C0C) (TpT)

    Otherwise:

    A0(R, C, T) = 1

    12

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    Case study analysis:

    If a failing PEP needs to delegate O1: Must retr ieve the logs fromthe component i t moni tors to another PEP, the latter must

    have at least the following capability:

    - be on the same network than the component to control (C1),

    - have enough computing resource to monitor the component to

    control (C4),

    - be able to encrypt data (C6)

    - be able to communicate securely with the ACE (C7).

    13October 2013 SMC IEEE conference

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    The PEP must also have the following rights to perform O1 :

    - R1: is allowed to read log file on the concerned network

    component

    - R2: is allowed to write log in the central logs database

    - R4: is allowed to read and write in the alert database.

    The minimum level for the trust parameter expected from the PEP

    is set to 3.

    14October 2013 SMC IEEE conference

    Case study analysis:

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    Validation for the case study

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    However, in practice, we observed :

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    As a result, in the case of the PEP, the obligation to provide animmediate reaction is hampered by the fact that the

    PEP lacks the capability to communicate with the PDP (C2).

    This means that any appropriate responsibility cannot be

    assigned to the PEP and be implemented in case of abnormally

    within the system.

    16October 2013 SMC IEEE conference

    Case study analysis:

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    Validation for the case study

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    Equally, the value for the other agents are

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    CI are more and more present and need to be seriously managed and monitorregarding the increasing amount of threats.

    This paper presents a solution to automatically react after an incident on a

    wireless network based on MAS architecture.

    The system initially based on static assignments of function to agents needed

    more dynamicity in order to stay aligned with the new arising risks:

    We provide a conceptual representation of the agent responsibilities

    Based on that definition of the agents responsibilities, a conviction level

    can be estimated in order to determine the confidence that the agent can

    meet its responsibilities. In the event of such conviction level being low,

    decisions can be made to shift the fulfillmentof such a responsibility to a

    different agent.

    18October 2013 SMC IEEE conference

    Conclusions

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    Acknowledgments

    The research described in this paper is funded by the

    CockpitCI research project within the 7th frameworkProgramme (FP7) of the European Union (EU) (topic SEC-

    2011.2.5-1Cyber-attacks against critical infrastructures

    Capability Project).

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    Thank you for your attention !

    Any questions ?


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