Dynamic Trust Management for Delay Tolerant
Networks and Its Application to Secure Routing
ABSTRACT:
Delay tolerant networks (DTNs) are
characterized by high end-to-end latency, frequent disconnection, and
opportunistic communication over unreliable wireless links. In this paper, we
design and validate a dynamic trust management protocol for secure routing
optimization in DTN environments in the presence of well-behaved, selfish and
malicious nodes. We develop a novel model-based methodology for the analysis of
our trust protocol and validate it via extensive simulation. Moreover, we
address dynamic trust management, i.e., determining and applying the best
operational settings at runtime in response to dynamically changing network
conditions to minimize trust bias and to maximize the routing application
performance. We perform a comparative analysis of our proposed routing protocol
against Bayesian trust-based and non-trust based (PROPHET and epidemic) routing
protocols. The results demonstrate that our protocol is able to deal with
selfish behaviors and is resilient against trust-related attacks. Furthermore,
our trust-based routing protocol can effectively trade off message overhead and
message delay for a significant gain in delivery ratio. Our trust-based routing
protocol operating under identified best settings outperforms Bayesian
trust-based routing and PROPHET, and approaches the ideal performance of
epidemic routing in delivery ratio and message delay without incurring high
message or protocol maintenance overhead.
EXISTING SYSTEM:
A delay tolerant network (DTN) comprises
mobile nodes (e.g., humans in a social DTN) experiencing sparse connection,
opportunistic communication, and frequently changing network topology. Because
of lack of end-to-end connectivity, routing in DTN adopts a store-carry-and-forward
scheme by which messages are forwarded through a number of intermediate
nodes leveraging opportunistic encountering, hence resulting in high end-to-end
latency.
DISADVANTAGES OF
EXISTING SYSTEM:
v Trust
management protocols and approaches to deal with misbehaving nodes in DTNs.
v Only
have Selfish Behaving nodes.
PROPOSED
SYSTEM:
In this paper, we propose dynamic trust
management for DTNs to deal with both malicious and selfish misbehaving
nodes. Our notion of selfishness is social selfishness as very often humans
carrying communication devices (smart phones, GPSs, etc.) in a DTN are socially
selfish to outsiders but unselfish to friends. Our notion of maliciousness
refers to malicious nodes performing trust-related attacks to disrupt DTN
operations built on trust (e.g., trust-based DTN routing considered in this
paper). We aim to design and validate a dynamic trust management
protocol for DTN routing performance optimization in response to dynamically
changing conditions such as the population of misbehaving nodes
ADVANTAGES OF PROPOSED
SYSTEM:
v
It generally improves the accuracy of
predictions when compared with previous recommendation methods.
v
Using trust-based admission control
strategies.
v
Security management protocols for
delay-tolerant, self-contained message forwarding applications based on the
information-centric networks (ICN).
SYSTEM CONFIGURATION:-
HARDWARE REQUIREMENTS:-
Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 512 MB(min)
Hard Disk - 40 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - LCD/LED
SOFTWARE
REQUIREMENTS:
Operating
system : Windows XP.
Coding
Language : .Net
Data
Base : SQL Server 2005
Tool : VISUAL STUDIO 2008.
REFERENCE:
Ing-Ray Chen, Fenye Bao ; MoonJeong Chang ; Jin-Hee Cho
“ Dynamic Trust Management for Delay Tolerant
Networks and Its Application to Secure Routing” IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,
VOL. 25, NO. 5, May 2014
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