Thursday, December 27, 2012
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IEEE Java Project - A Stochastic Model of Multivirus Dynamics
A Stochastic Model of
Multivirus Dynamics
ABSTRACT:
Understanding the spreading
dynamics of computer viruses (worms, attacks) is an important research problem,
and has received much attention from the communities of both computer security
and statistical physics. However, previous studies have mainly focused on
single-virus spreading dynamics. In this paper, we study multi-virus spreading
dynamics, where multiple viruses attempt to infect computers while possibly
combating against each other because, for example, they are controlled by
multiple bot masters. Specifically, we propose and analyze a general model (and
its two special cases) of multi-virus spreading dynamics in arbitrary networks
(i.e., we do not make any restriction on network topologies), where the viruses
may or may not core side on computers. Our model offers analytical results for
addressing questions such as: What are the sufficient conditions (also known as
epidemic thresholds) under which the multiple viruses will die out? What if
some viruses can “rob” others? What characteristics does the multivirus
epidemic dynamics exhibit when the viruses are (approximately) equally
powerful? The analytical results make a fundamental connection between two
types of factors: defense capability and network connectivity. This allows us
to draw various insights that can be used to guide security defense.
EXISTING
SYSTEM:
In the existing system, studies
have mainly focused on single-virus spreading dynamics.
For multivirus spreading dynamics,
there are two scenarios: the viruses spread independent of each other and thus
the dynamics can be understood as a trivial extension of the single-virus
dynamics; the viruses spread non-independently and may further fight against
each other.
DISADVANTAGES
OF EXISTING SYSTEM:
The well established approaches
such as access control and cryptography.
Despite the attention that has been
paid by communities including computer security and statistical physics,
existing studies mainly focused on single-virus spreading dynamics.
PROPOSED
SYSTEM:
In this paper, we study multi-virus
spreading dynamics, where multiple viruses attempt to infect computers while
possibly combating against each other because, for example, they are controlled
by multiple bot-masters.
Specifically, we propose and
analyze a general model (and its two special cases) of multi-virus spreading
dynamics in arbitrary networks (i.e., we do not make any restriction on network
topologies), where the viruses may or may not core side on computers. Our model
offers analytical results for addressing questions such as: What are the
sufficient conditions (also known as epidemic thresholds) under which the
multiple viruses will die out? What if some viruses can “rob” others? What
characteristics does the multivirus epidemic dynamics exhibit when the viruses
are (approximately) equally powerful? The analytical results make a fundamental
connection between two types of factors: defense capability and network
connectivity. This allows us to draw various insights that can be used to guide
security defense.
ADVANTAGES
OF PROPOSED SYSTEM:
To solve the problem of computer
viruses (malware, worms, or bots), we need a set of approaches, ranging from
legislation to technology.
SYSTEM
REQUIREMENTS:
HARDWARE REQUIREMENTS:
•
System : Pentium IV 2.4 GHz.
•
Hard
Disk : 40 GB.
•
Floppy
Drive : 1.44 Mb.
•
Monitor : 15 VGA Colour.
•
Mouse : Logitech.
•
Ram : 512 Mb.
SOFTWARE REQUIREMENTS:
•
Operating system : - Windows XP.
•
Coding Language : JAVA
REFERENCE:
Shouhuai Xu, Wenlian Lu, and Zhenxin
Zhan, “A Stochastic Model of Multivirus Dynamics”, IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 9, NO. 1,
JANUARY/FEBRUARY 2012.
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