Model
Digital Document
Publisher
Florida Atlantic University
Description
Wireless sensor networks or WSNs continually become more common in todays world. They
are able to give us a constant view into the world as they gather information and make this information
more readily available. The infonnation these networks gather and contain is valuable and protecting
it is of great importance. Today more and more devices are becoming wireless and mobile. This
is allowing for very diverse networks to be created and they are constantly changing. Nodes in
these networks are either moving to different positions or going offi ine which constantly changes the
overall layout of the network. With this increasing connectivity of today's devices this opens the
door for possibility for these types of networks to become targets by malicious objects designed to
bring harm to the network. Many unre liable networks already face many problems such as having
to optimize battety life and being deployed in areas where they can be damaged. A malicious object
in this type of network has the power to destroy data and deplete the networks limited resources
such as bandwidth and power. Removal of these malicious objects can also have a negative effect
on these limited resources. We must find a way to remove these malicious objects in a way that
minimizes loss to the network. In this paper we will look at the information survival threshold of these types of networks. Certain controllable parameters exist that directly impact the survival rate
of all data in the network. We will combine this with the addition our own self-replicating objects to
the network designed to neutralize their malicious counterparts. We will examine these information
survival threshold parameters along with specific parameters available to the network. We shall see
how these parameters affect overall survival of data in the network and their impact on our own good
data.
are able to give us a constant view into the world as they gather information and make this information
more readily available. The infonnation these networks gather and contain is valuable and protecting
it is of great importance. Today more and more devices are becoming wireless and mobile. This
is allowing for very diverse networks to be created and they are constantly changing. Nodes in
these networks are either moving to different positions or going offi ine which constantly changes the
overall layout of the network. With this increasing connectivity of today's devices this opens the
door for possibility for these types of networks to become targets by malicious objects designed to
bring harm to the network. Many unre liable networks already face many problems such as having
to optimize battety life and being deployed in areas where they can be damaged. A malicious object
in this type of network has the power to destroy data and deplete the networks limited resources
such as bandwidth and power. Removal of these malicious objects can also have a negative effect
on these limited resources. We must find a way to remove these malicious objects in a way that
minimizes loss to the network. In this paper we will look at the information survival threshold of these types of networks. Certain controllable parameters exist that directly impact the survival rate
of all data in the network. We will combine this with the addition our own self-replicating objects to
the network designed to neutralize their malicious counterparts. We will examine these information
survival threshold parameters along with specific parameters available to the network. We shall see
how these parameters affect overall survival of data in the network and their impact on our own good
data.
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