Computer Science Homework Help

Literature Review is a critical evaluation of peer-reviewed articles, texts, and other sources relevant to your research. Most Research topics are very specific, you will most likely need to generalize your topics. The paper must contain a minimum of eight (8) peer-reviewed references published within the past 5 years.

Literature Review Content:

• Subject or issue overview (do not rewrite the introduction)
• Categorized or themed presentation of material supporting and refuting the subject or issue
• Critical review and comparison of each referenced work
• Conclusions based on the facts in the literature review

Note: 3 pages (diagrams or any charts would not be included)

0% plagiarism

eight (8) peer-reviewed references published within the past 5 years.

Paragraph in-text citation

look into the introduction paper for detailed paper.

Introduction

To characterize the spread of malware in P2P networks, an analytical model is formulated, which studies the dynamics associated with the spread of malware. The system parameters of the network conditions, under which the network reaches a malware-free equilibrium, are derived using a compartmental model, which also evaluates the effect of control strategies like node quarantine to stifle the malware. Also, the malware spread in smartphones in reference to P2P networks is brought under the study.

Problem

The use of peer-to-peer (P2P) networks as a vehicle to spread malware offers some important advantages over worms that spread by scanning for vulnerable hosts. This is primarily due to the methodology employed by the peer to search for content. For instance, in decentralized P2P architecture such as Gnutella where search is done by flooding the network, a peer forwards the query to it’s immediate neighbors and the process is repeated until a specified threshold time-to-live, TTL is reached. Here TTL is the threshold representing the number of overlay links that a search query travels. A relevant example here is the Mandragore worm that affected Gnutella users. Having infected a host in the network, the worm cloaks itself for other Gnutella users. Every time a Gnutella user searches for media files in the infected computer, the virus will appears as an answer to the request, leading the user to believe that it is the file the user searched for. The design of the search technique has the following implications: first, the worms can spread much faster, since they do not have to probe for susceptible hosts and second, the rate of failed connections is less. Thus, rapid proliferation of malware can pose a serious security threat to the functioning of P2P networks.

Understanding the factors affecting the malware spread can help facilitate network designs that are resilient to attacks, ensuring the protection of the networking infrastructure. This paper addresses this issue and develops an analytic framework for modeling the spread of malware in P2P networks while accounting for the architectural, topological, and user related factors. We also model the impact of malware control strategies like node quarantine.

Concerns with the Current System

Prior simulation model used a combo of deterministic/stochastic epidemic models large-scale attack simulation. This current system, which uses general stochastic model, makes it difficult to obtain results, which could be used for worm containment. Prior study was used for worm detection, based on trend rather than the rate of the anomalous traffic via a filter.

Proposed System

The new model allows for the development of immediate worm containment that prevents the worm spreading in its earlier stages.The maximum count probability of hosts effected by the worm is calculated. This includes both fast and slow scan worms without the knowledge of the signature previously. The automatic containment is relatively more effective.