The progress of future e-business and ecommerce will depend on the ability of our legal institutions to protect general users from cyber crimes. While there has been substantial p...
In this paper, we review a visual approach and propose it for analysing computer-network activity, which is based on the use of unsupervised connectionist neural network models and...
In this paper we present an Artificial Immune System (AIS) based security framework, which prevents a number of serious Denial of Service (DoS) attacks. The proposed security frame...
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
We present a method aimed at monitoring access to interlocks and secured entrance areas, which deploys two views in order to robustly perform intrusion detection and singularizati...
Luigi di Stefano, Federico Tombari, Stefano Mattoc...