Secure Cooperative MIMO Communications Under Active Compromised Nodes - PowerPoint PPT Presentation

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Secure Cooperative MIMO Communications Under Active Compromised Nodes

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Title: No Slide Title Author: lhong Last modified by: Wei Chen Created Date: 10/24/1998 4:00:19 AM Document presentation format: On-screen Show (4:3) – PowerPoint PPT presentation

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Title: Secure Cooperative MIMO Communications Under Active Compromised Nodes


1
Dr. Liang Hong LHONG_at_TNstate.edu (615)
963-5364
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure Cooperative MIMO Communications Under
Active Compromised Nodes
Liang Hong, McKenzie McNeal III, Wei
Chen College of Engineering, Technology, and
Computer Science Tennessee State University
2
Outline
College of Engineering, Technology, and Computer
Science Tennessee State University
  • Introduction
  • System Model
  • Compromised Nodes Detection and Symbol Recovery
  • Cooperative Transmission and Security Key
    Management Schemes
  • Simulations
  • Conclusions

3
Introduction
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • Wireless sensor networks (WSNs) have been widely
    deployed in
  • Military sensing and tracking, environment
    monitoring, smart home appliances management,
    health care, etc
  • WSNs are expected to be the basic building block
    of pervasive computing
  • Cooperative MIMO can achieve the benefits of MIMO
    technique without the need of multiple antennas
    at each sensor node
  • MIMO can provide significant increases in data
    rate and link range without additional bandwidth
    or transmission power
  • Physical implementation of multiple antenna at a
    small node is not feasible
  • Distributed individual single-antenna nodes
    cooperating on data transmission and reception as
    a multi-antenna MIMO node

4
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • Many WSNs have mission-critical tasks, however,
    the involvement of multiple nodes for
    transmission and/or receiving poses a challenge
    to the reliability of the information
  • Node compromise is one of the most detrimental
    attacks
  • Active attack the compromised nodes maliciously
    modify the relay information and inject falsified
    information (more severe than passive attacks)
  • Previous security schemes either did not detect
    and defend against node compromise or needed
    extra MIMO antennas to achieve data assurance.

5
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • Our previous work proposed a cross-layer security
    scheme that combined a cryptographic technique
    implemented in higher layer with data assurance
    analysis at the physical layer
  • Has much less bit errors
  • Receiving cluster periodically detects
    compromised nodes
  • The transmitting and receiving cluster have equal
    numbers of nodes
  • Only one compromised node is present in the
    transmitting cluster
  • No compromised node is present in the receiving
    cluster

Research objectives
Develop compromised node detection algorithm for
more general scenarios.
6
System Model
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
Multi-hop cooperative MIMO system
Cooperative strategy decode-and-forward
7
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
Received signal
(1)
received signals at the receiving cluster
transmitted signals at the transmitting cluster
channel matrix (mR?mT)
additive Gaussian noise components, they are
identically distributed and mutually
statistically independent, each with a zero mean
and a power spectral density
8
Compromised Nodes Detection and Symbol Recovery
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • Methodology
  • The CH h of B will perform compromised nodes
    detection at random time t in each time interval
    with adaptive security level

9
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • Compromised nodes detection algorithm
  • The CH h of B requests each of the primary nodes
    in B to send the received symbols to h. Then h
    obtained the combined signal
  • Node h uses Inverse Channel Detector to estimate
    the transmitted symbols s, i.e., ,
    where W is an mR?mT weighing matrix
  • Since all data streams are the same, h can
    identify the compromised node x if x didnt
    transmit the supposed symbol.
  • For example, assuming that the primary node x in
    A is compromised and it is the jth node in A, if
    sj from step 2 is not the same as the information
    recovered from the majority of the other nodes, x
    will be classified as a compromised node

10
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
Scenario 1 The transmitting and receiving
clusters have different number of nodes
(2)
  • Scenario 2 More than one compromised node is
    present in the transmitting cluster
  • In step 3, the recovered data streams from
    different transmitting nodes will be sorted into
    groups, where nodes are assigned to the same
    group if they contain identical symbols.
  • The group with largest number of nodes is assumed
    to contain the IDs of trustworthy nodes. All the
    other nodes are classified as compromised nodes.
  • If all the groups have the same number of IDs,
    all the nodes in transmitting cluster are
    classified as compromised nodes.

11
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • Scenario 3 Compromised nodes are present in the
    receiving cluster
  • The CH h in B performs inverse channel detection
    on the set of received data from each node in B.
  • If two or more of the estimates of the
    transmitted symbols are the same, then this node
    in B is not compromised. Its ID will be saved in
    the trustworthy node group.
  • If none of the estimates of the transmitted
    symbols are the same, then this node in B is the
    compromised node.
  • After all the compromised nodes in B are
    identified, all the trustworthy nodes in B will
    be used to identify the compromised nodes in A.
    Using the algorithm in Scenario 2, the
    compromised nodes in A can be detected

12
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
Symbol recovery
  • When the compromised nodes are detected in the
    transmitting cluster
  • the CH h in B will send each node in its cluster
    the information of the compromised nodes in A.
  • When the node v in B receives this information,
    it decodes the message by simply setting the
    columns in channel matrix that corresponds to the
    compromised nodes to zero
  • When the compromised nodes are detected in the
    receiving cluster
  • The CH h in B will send the IDs of the
    trustworthy nodes to the CH in its next relay.
  • In the next relay, simply setting the column in
    channel matrix that corresponds to these
    compromised nodes to zero.
  • If compromised nodes are detected in the last
    receiving cluster, the sink node will use the
    received data from the trustworthy nodes for
    symbol detection

13
Cooperative Transmission and Security Key
Management Schemes
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • The cooperative transmission and security key
    management schemes proposed in our previous work
    will be used to provide secure cooperative
    communications.
  • This security scheme provides secured
    communication between uncompromised nodes.
  • By combining the compromised nodes detection
    algorithm, the security of the system will be
    largely enhanced.

14
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
Type of Keys (1) Each cluster each node has a
cluster key C-key(A) for local transmission (2)
Each link AB each node in A and B has a key
L-key(A,B) for long-haul transmission between A
and B
Secured cooperative relay Step 1 (Local
transmission at A) Each node in A encrypts its
information with C-key(A), and broadcasts it to
other local nodes using different timeslots. Each
node uses C-key(A) to decrypt the received m
information back.
Step 2 (long-haul transmission between A and B)
Each node i in A encrypts sequence I with key
L-key(A,B), and it acts as ith antenna encoding
the encrypted I. Then, all m nodes in A broadcast
the encrypted and encoded I to the nodes in B at
the same time. When a nodes in B receives m
copies of the information, it decrypts them with
L-key(A,B), and then decode them back to I.
15
Simulations
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • The channels are block Rayleigh fading channels.
  • It is constant during the transmission of one
    symbol, but is randomly changing between symbols
  • Different channels are identically distributed
    and statistically independent.
  • Binary phase shift keying (BPSK) is chosen as the
    modulation scheme.
  • 100 received symbols are used in the proposed
    algorithms for compromised nodes identification.
  • The maximum likelihood detector is used for
    symbol demodulation

16
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • For scenario 1 and 2
  • Detection Accuracy
    Performance Comparison

17
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • For scenario 1 and 3
  • Detection Accuracy
    Performance Comparison

18
Conclusions
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
  • Algorithms for compromised nodes detection are
    proposed for three more general scenarios.
  • The proposed compromised nodes detector are then
    used in a cooperative MIMO communication system
    to enhance the security.
  • The compromised nodes detector has high detection
    accuracy.
  • The reliability of the information is
    significantly improved.

19
College of Engineering, Technology, and Computer
Science Tennessee State University
Secure cooperative MIMO communications under
active compromised nodes
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