Mobile Ad-hoc Network (MANET) is type of
unguided network whose nodes are self-configuring and
connected by wireless links. Anonymity communication is one of
the major issues in MANET. Many anonymity enhancing
techniques have been introduced based on packet encryption.
These were designed for the protection of communication
anonymity in mobile ad hoc networks. However, passive
statistical traffic analysis attacks that can be vulnerable to
MANET. The communication anonymity consists of two aspects:
source/destination anonymity and end-to-end anonymity. In order
to discover the communication pattern without decrypting the
captured packets, this proposed system will be designed. The
proposed system will first search the required node by using a
heuristic approach. Then statistical traffic analysis will be
performed to find the data transmission of the searched node to
its neighboring nodes. After performing the statistical traffic
analysis, the probability of the searched node being a source or
destination will be determined.
Priyanka Sen : received the BE degree in Computer Science and
Engineering from Rashtrasant Tukadoji Maharaj Nagpur University
in Maharashtra, India in 2013. She is currently working toward the
ME degree in Wireless Communication and Computing from
Rashtrasant Tukadoji Maharaj Nagpur University in Maharashtra,
India. Her research interest includes ad hoc network and mobile
ad hoc network security.
Vaishali Sahare : Department of Computer Science and Engineering, RTMNU,
G.H Raisoni Institute of Engineering and Technology for Women
Nagpur, Maharashtra, India
Anonymity Communication
Mobile Ad hoc
Network (MANET)
Statistical Traffic Analysis
The proposed system will observe the traffic pattern of the
adversary. As nodes are hidden in MANET a heuristic
searching algorithm will be applied. This heuristic
searching algorithm will be depth first search (DFS). This
system will perform statistical traffic analysis to find the
data transmission between one to one and one to many
nodes. Probability of point to point transmission among
receivers will be estimated by point-to-point traffic matrix.
Then by calculating multihop traffic and performing
probability distribution the traffic pattern will be
discovered. This will provide an approximate traffic
pattern with approximate source and destination in the
network. The proposed system will reduce the issue of
anonymous communication in mobile ad hoc network
(MANET).
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