Identificação remota de sistemas operacionais utilizando análise de processos aleatórios e redes neurais artificiais

A new method to perform TCP/IP fingerprinting is proposed. TCP/IP fingerprinting is the process of identify a remote machine through a TCP/IP based computer network. This method has many applications related to network security. Both intrusion and defence procedures may use this process to achieve their objectives. There are many known methods that perform this process in favorable conditions. However, nowadays there are many adversities that reduce the identification performance. This work aims the creation of a new OS fingerprinting tool that bypass these actual problems. The proposed method is based on the use of attractors reconstruction and neural networks to characterize and classify pseudo-random numbers generators

Undersampled Critical Branching Processes on Small-World and Random Networks Fail to Reproduce the Statistics of Spike Avalanches

The power-law size distributions obtained experimentally for neuronal avalanches are an important evidence of criticality in the brain. This evidence is supported by the fact that a critical branching process exhibits the same exponent t~3=2. Models at criticality have been employed to mimic avalanche propagation and explain the statistics observed experimentally. However, a crucial aspect of neuronal recordings has been almost completely neglected in the models: undersampling. While in a typical multielectrode array hundreds of neurons are recorded, in the same area of neuronal tissue tens of thousands of neurons can be found. Here we investigate the consequences of undersampling in models with three different topologies (two-dimensional, small-world and random network) and three different dynamical regimes (subcritical, critical and supercritical). We found that undersampling modifies avalanche size distributions, extinguishing the power laws observed in critical systems. Distributions from subcritical systems are also modified, but the shape of the undersampled distributions is more similar to that of a fully sampled system. Undersampled supercritical systems can recover the general characteristics of the fully sampled version, provided that enough neurons are measured. Undersampling in two-dimensional and small-world networks leads to similar effects, while the random network is insensitive to sampling density due to the lack of a well-defined neighborhood. We conjecture that neuronal avalanches recorded from local field potentials avoid undersampling effects due to the nature of this signal, but the same does not hold for spike avalanches. We conclude that undersampled branching-process-like models in these topologies fail to reproduce the statistics of spike avalanches.

PSEUDO: uma análise sociocognitiva sobre insinceridades, mentiras e crimes de fraude

The objective of this work is to analyze the phenomenon of lying, highlighting some uses and social consequences. Lies are a ubiquitous phenomenon, and in many cases they even promote social harmony. Furthermore, telling lies is an expression of individuality: it is the expression of relative autonomy that the subject has towards their social environment allowing them to defend their most personal interests. The work also aims to examine the concept of habitus applied to the social production of lies. Thus, the liars produce their lies aiming to obtain certain effects on their audiences. There are certain social cognitive principles that structure the kind of lie that is usually told to the public. Finally, the perpetrators of crimes of fraud and other deceptive practices may suffer a criminal prosecution because the damage they cause affects important social values recognized by the state, and are not restricted to the victim‟s chagrin. In the most common forms of fraud, the crooks make tempting offers to victims exploiting some of their standardized behaviors and reactions. To understand the fragility of the victims to scams is an attempt to understand how a social phenomenon as usual as is the lie can still surprise and cause perplexity