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The timely and reliable data transfer required by many networked applications necessitates the development of comprehensive security solutions to monitor and protect against an increasing number of malicious attacks. However, providing complete cyber space situation awareness is extremely challenging because of the lack of effective translation mechanisms from low-level situation information to high-level...
Spams are no longer limited to emails and Web-pages. The increasing penetration of spam in the form of comments in blogs and social networks has started becoming a nuisance and potential threat. In this work, we explore the challenges posed by this type of spam in the blogosphere with substantial generalization regarding other social media. Thus, we investigate the characteristics of comment spam...
Evolutionary algorithm based metaheuristics have gained prominence in recent years for solving multiobjective optimization problems. These algorithms have a number of attractive features, but the primary motivation for many in the community is rooted in the use of a population inherent to evolutionary algorithms, which allows a single optimization run to provide a diverse set of nondominated solutions...
This paper examines two strategies in order to improve the performance of multi-objective evolutionary algorithms when applied to problems with many objectives: informed initialization and extreme solutions sub-population. The informed initialization is the inclusion of approximations of extreme and internal points of the Pareto front in the initial population. These approximations, called informed...
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