A PROBABILISTIC MISBEHAVIOR DETECTION
SCHEME TOWARD EFFICIENT TRUST
ESTABLISHMENT IN DELAY-TOLERANT NETWORK
ABSTRACT:
Malicious and selfish behaviors represent a serious threat against routing in
delay/disruption tolerant networks (DTNs). Due to the unique network
characteristics, designing a misbehavior detection scheme in DTN is regarded as a
great challenge.
In this paper, itrust, a probabilistic misbehavior detection scheme, for secure
DTN routing toward efficient trust establishment.
Mobile Ad hoc networks
(MANETs) are susceptible to having their effective operation compromised by a
variety of security attacks because of the features like unreliability of wireless links
between nodes, constantly changing topology, restricted battery power, lack of
centralized control and others.
Nodes may misbehave either because they are malicious and deliberately
wish to disrupt the network, or because they are selfish and wish to conserve their
own limited resources such as power.
we proposed present a mechanism that enables the detection of nodes that
exhibit packet forwarding misbehavior. The approach is based on the usage of
techniques which will be used in parallel in such a way that the results generated
by one of them are further processed by the other to finally generate the list of
misbehaving nodes.
The basic idea of
trust is introducing a periodically available Trusted
Authority (TA) to judge the node’s behavior based on the collected routing
evidences and probabilistically checking. We model trust as the inspection game
and use game theoretical analysis to demonstrate that, by setting an appropriate
investigation probability, TA could ensure the security of DTN routing at a
reduced cost.
To further improve the efficiency of the proposed scheme, we correlate
detection probability with a node’s reputation, which allows a dynamic detection
probability determined by the trust of the users. The extensive analysis and
simulation results demonstrate the Effectiveness and efficiency of the proposed
scheme using AODV Protocol.
EXISTING SYSTEM:
 An ad hoc network nature is the main cause for making it more
Vulnerable to wireless attacks. Ad hoc nodes are wireless in nature that
makes it Prone.
Due to the unique network characteristics, designing a
misbehavior detection scheme in DTN is regarded as a great challenge.
 Each device in a MANET is free to move independently in any direction,
and will therefore change its links to other devices frequently. Each must
forward traffic so it’s making data transition problem.
 When we sending our data to destination in the techniques will not give
more security, we don’t know the accurate selfish node in our infrastructure
Ad-hoc network so in this also main drawback of our wireless Network.
 Another Problem it will drop more dropping packets, making time delay,
reduce delivery ratio, as well as throughput because of selfish node.
In iTrust scheme, the energy of node is easily reduced. And also
unwanted storage of Contact history, Delegation history,
forwarding history.
PROPOSED SYSTEM:

Mobile ad hoc networks (MANET) rely on the cooperation of all the
participating nodes. The more nodes cooperate to transfer traffic, the more
powerful a MANET gets. AODV protocol itself incurs a low checking
overhead.

However, to prevent malicious users from providing fake data
transmission, calculate the dropping and losing packet size, packet delivery
ratio for optimal estimation.
 Here we implementing and finding the dropping packets for optimal
estimation for AODV.
 Path Tracing Algorithm to detect the malicious attack using per hop
distance and pixel wise measurements link frequent appearance count
parameters using AODV.
 So we can detect accurate misbehave person. Therefore there is a strong
motivation for a node to deny packet forwarding to others, while at the same
time using their services to deliver own data.
SOFTWARE SPECIFICATION:
HARDWARE SPECIFICATION:
Processor
:
Intel Pentium III or higher
RAM
:
1 GB or higher
Hard Disk
:
40 GB or higher
Mother Board
:
Intel 845 g chipset or higher
I/O
:
Optical mouse and keyboard
SOFTWARE SPECIFICATION:
Operating system
:
Linux-Mint15
Programming
:
Network Simulator 2.35
Language Used
:
TCL and C++
Network Modeling Tool:
Dia or Ns2