Shills and snipes

Swarm intelligence inspired shills and the evolution of cooperation

Many hostile scenarios exist in real-life situations, where cooperation is disfavored and the collective behavior needs intervention for system efficiency improvement. Towards this end, the framework of soft control provides a powerful tool by introducing controllable agents called shills, who are allowed to follow well-designed updating rules for varying missions. Inspired by swarm intelligenc...

How does the interaction radius affect the performance of intervention on collective behavior?

The interaction radius r plays an important role in the collective behavior of many multi-agent systems because it defines the interaction network among agents. For the topic of intervention on collective behavior of multi-agent systems, does r also affect the intervention performance? In this paper we study whether it is easier to change the convergent heading of the group by adding some speci...

Advancing Adolescent Literacy in Urban Schools

Detecting Shill Bidding in Online English Auctions

The popularity of online auctioning has grown meteorically since the late 90s. This attraction is due to their convenience, low cost and ability to reach large (even worldwide) audiences. However, despite the advantages there are many problems inherent in auctioning online. One such problem is shill bidding where spurious bids are introduced into an auction to drive up the final price for the s...

Shilling Protection Using Network Topology Methods

This paper covers several methods of tackling the problem of shills on a network by trying to identify, filter, or mitigate their influence they have on the sign prediction of a network. We have covered several methods including the use of Collaborative Filtering, general vs personal PageRank, and Random Walks and have found that Random walks was the most resilient to shill attacks.