A stochastic model of multivirus dynamics
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This paper proposes and analyzes a general stochastic model of multivirus spreading dynamics in networks. Existing studies mainly focus on single viruses, but this model considers multiple viruses that may compete or cooperate as they spread. The model provides analytical results to understand conditions for virus extinction, impacts when viruses can "rob" each other, and epidemic characteristics when viruses are equally powerful. Insights from this model can guide network security defense strategies.
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A stochastic model of multivirus dynamics
- 1. 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:
- 2. 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.
- 3. 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.
- 4. • 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.