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Denial

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Title: Denial


1
Denial  of safety critical services of  a Public
Mobile Network for  a  critical transport 
infrastructure
  • E. Ciancamerla, M. Minichino
  • ENEA Cr Casaccia

SNI 2005 First workshop on Safeguarding
National Infrastructures August 25 -27, 2005
Glasgow, UK
2
Issues
  • PMN for a Tele Control system for a Critical
    Transport Infrastructure (Alpine Road Tunnel -
    SAFETUNNEL project )
  • Tele Control System main issues
  • TCS validation by modelling
  • Stochastic measures of denial of safety critical
    services of PMN for voice and data connection
  • Modelling assumptions
  • Denial of service measures
  • Stochastic methodology
  • Denial of service models
  • Availability model
  • Performance model for voice connection
  • Performance model for data connection
  • Numerical results
  • Conclusions

3
Tele Control system dependability issues
  • TCS implements preventive SAFETY functions in
    REAL TIME, with the aim to enhance accident
    prevention inside alpine road tunnels (Critical
    Transport Infrastructures)
  • TCS does not born at once, but grows up from the
    existing subsystems
  • Interacts with operators (the drivers and the
    tunnel operators)
  • relies on a Public Mobile Network that
    interconnects instrumented vehicles, crossing a
    road tunnel infrastructure, to a Tunnel Control
    Centre
  • PMN increases benefits, giving a major support
    to the drivers and to the road operators in
    performing their tasks
  • PMN poses problems of dependability and
    performability evaluation on the frontier of the
    technology.
  • the novelty and complexity of TCS
  • the topology of the network, that dynamically
    changes for the presence of mobile nodes
  • security aspects
  • could weaken availability, performability and
    safety properties of TCS

4
Tele Control System General architecture
SAFE TUNNEL Control Center
TILAB Control Center
IP Access
Data exchange (TCP/IP socket)
SITAF Control Center
GPRS links
5
Tele Control System monitoring area limits
6
Tele Control system preventive safety functions
  • Prognostics on board equipment is able to
    detect existing fault or evaluate the possibility
    of an imminent fault (predictive analysis) and
    send information to a control center.
  • Access control A control center is able to
    inhibit access to vehicles with detected or
    imminent faults
  • Speed and distance control The control center
    transmits to the vehicle recommended speed and
    safety distance from vehicle ahead. An on-board
    radar system measures distance from vehicle
    ahead. The on-board system control engine and
    brakes in order to automatically achieve
    recommended speed and distance.
  • Emergency Message dissemination Emergency
    information and warning may be distributed from
    the control center directly to the On-board Human
    Machine Interface.

7
Tele Control System validation
  • The Project designs the Tele Control System and
    develops a System Demonstrator (composed by a
    prototype of TCC, two instrumented vehicles and
    the PMN)
  • The validation of the SAFETUNNEL system is
    planned according to the following steps
  • Validation by FIELD EXPERIMENTATION, centered on
    System Demonstrator
  • Validation by MODELLING, centered on the whole
    System
  • Both FIELD TESTS and MODELLING are needed for
    system validation
  • That is why
  • Just a limited number of field tests can be
    planned on the actual system Demonstrator
  • a set of validation measures have to be
    predicted on the SAFETUNNEL models, being the
    Demonstrator not suitable for such measures.

8
Validation by modelling
  • Have been focused on PMN and has been conducted
    according to two main lines
  • Functional Analysis of the system, by model
    checking, that looks at the interaction of the
    dimensioning of the PMN with the Tele Control
    system preventive safety functions, in system
    normal operational mode and for different tunnel
    scenarios
  • Denial of service measures of the Public Mobile
    Network, by stochastic methodology, with the
    ideal goal to verify if and how a possible
    degradation of service of the network, in terms
    of performance and availability, does not affect
    Tele Control System preventive safety functions.

9
A Glance to the PMN
BTS- Base Transceiver Station BSC Base Station
Controller MSC Mobile Switching Centre GMSC
Gateway MSC
.
10
A glance to the PMN
  • PMN transfers voice, commands and data between
    Instrumented Vehicles and the Tunnel Control
    Centre, with more than one Vehicle at the same
    time in bi-directional way.
  • informative messages are transmitted in uplink
    (from Vehicles on-board system to TCC)
  • Commands/messages are transmitted in downlink
  • Data transmission, by GPRS connection.
  • TCP transport protocol. Each Vehicle is
    characterized by a TCP address (IP address TCP
    port)
  • TCC that is provided of an analogous address too.
  • Voice calls, supported by GSM connection,
  • between Vehicles and TCC, in case GPRS data
    transfer are not sufficient to manage an
    emergency.

11
PMN modelling assumptions
  • For the sake of building manageable models
    of our PMN, the following assumptions have
    been made
  • We focalized on Base Stations a single Base
    Station System is constituted by one Base
    Station Controller and multiple Base Transceiver
    Stations
  • Data exploits the same physical channels used by
    voice
  • The channel allocation policy is priority of
    voice on data
  • We account for handoff procedure for voice
    connection
  • We neglect the possibility of the handoff
    procedure for data connection
  • One Control Channel (CCH) is dedicated to GSM
    and GPRS signalling and control CCH is randomly
    assigned to a BTS
  • The GPRS implements a point to point connection

12
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13
A measure of denial of service the Total
Service Blocking Probability
  • Considering the PMN, as shown in figure , the
    GSM and the GPRS services can be denied, due to
    the following contributes
  • a) the BSS, as a whole, becomes unavailable
    or
  • b) the BSS is available and all its
    channels are full or
  • c) the BSS is not completely available and
    all the channels in it, which are available, are
    also full.
  • We named Total Service Blocking Probability
    (TSB), as a measure of the denial of service
    both for GSM and GPRS connection due to the
    occurrence of at least one of the contributes a),
    b), or c).

14
Stochastic Activity Networks
  • The basic elements of SAN (extension of Petri
    Nets) are places, activities, input gates and
    output gates.
  • Places and activities in SAN have the same
    meaning of places and transitions of Petri Nets.
  • Input gates and output gates respectively consist
    in predicates and functions, which contain the
    rules of firing of the activities and how to
    distribute the tokens after the activities have
    fired.
  • Two high-level constructs for hierarchical
    models REP and JOIN.
  • The complexity of a SAN model could be hidden
    inside input and output gates.
  • Differently from Petri Nets, the graphical
    representation of a SAN model is not correlated
    to its actual complexity.

15
PMN denial of service composed model
PMN denial of service
The same structure for voice and data connection
16
PMN Availability sub model
17
GSMGPRS performance sub model for data
18
Some numerical results
On the previous models we conduct availability,
performance and performability measures on voice
and data services. The input parameters to the
models and their numerical values are summarized
in the following tables
19
Input parameters and values of the availability
sub model
Parameter Value
Rate of BSC_fail 2,31 E-4 h-1
rate of BSC_repair 1 h-1
Rate of CCF_fail 3.47 E-4 h-1
rate of CCF_repair 0,5 h-1
Rate of BTS_fail 3.47 E-4 h-1
rate of BTS_repair 0,5 h-1
Number of BSC 1
Number of BTS 4
n. of channels of a BTS 8
Number of CCH 1
20
Input parameters and values of the GSM
performance sub model
Parameter value
arrival rate of new calls 0,27 s-1
duration of the calls 180 s
arrival rate of handoff calls 0,027 s-1
duration of outgoing handoff calls 80 s
21
Input parameters and values of the GSMGPRS
performance sub model
Parameter Value
arrival rate of voice calls 0,52,5 s-1
duration of voice calls 180 s
rate of session activation 2 s-1
session reading time 15 s
Packets inter arrival rate 0,0242 s-1
rate of suc. packet transmission 0,0513 s-1
buffer capacity (B) 100
n. of max opened sessions (D) 10,30,50
22
Total Service Blocking (TSB) probability for
voice service
23
Total Service Blocking (TSB) probability for
data packets
24
Conclusions
  • We computed Total Blocking Service probabilities,
    as measures of the denial of service for GSM and
    GPRS connections of a PMN for a Tele Control
    System
  • We have built modular sub models, hierarchically
    composed, by using Stochastic Activity Networks.
  • Numerical results have been presented
  • The research is still on going
  • to account possible external adverse events, such
    as intrusions, in a global dependability model
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