Publication

On the effects of colluded statistical attacks in cooperative spectrum sensing

Related publications (32)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Predicting Usefulness of Measuring Structures during Load Tests

Ian Smith, James-Alexandre Goulet

This paper presents an approach for model identifiability that builds upon recent research into measurement data interpretation. The objective of this approach is to determine probabilistically to what degree the number of models able to explain a measured ...

2010

A quasi-dynamic capacity constrained frequency-based transit assignment model

This paper presents a first approach to dynamic frequency-based transit assignment. As such the model aims to close the gap between schedule-based and frequency-based models. Frequency-based approaches have some advantages compared to schedule-based models ...

Elsevier2008

Fountain codes for piecewise stationary channels

Mohammad Amin Shokrollahi, Bertrand Ndzana Ndzana

In this paper, two fixed per-information symbol complexity lossless source coding algorithms are modified for estimation and incremental LT decoding over piecewise stationary memoryless channels (PSMC's) with a bounded number of abrupt changes in channel s ...

IEEE2008

An integrated adaptive model for overheating risk prediction

Darren Robinson, Frédéric Haldi

Based on the results from a field survey campaign, this article describes three new developments which have been integrated to provide a comprehensive basis for the evaluation of overheating risk in offices. Firstly, a set of logistic regression equations ...

2008

Reliability of computational science

Fabio Nobile

Today's computers allow us to simulate large, complex physical problems. Many times the mathematical models describing such problems are based on a relatively small amount of available information such as experimental measurements. The question arises whet ...

Wiley-Blackwell2007

A tutorial on (Bayesian) probability

Claudio Mattiussi

The aim of this tutorial is to show that, when properly formulated, probability theory is simply the science of plausible reasoning, which permits us to represent exactly and to update our state of information about the world. This is nothing new, since in ...

2005

Correlation between modulation and structural disorder in the 4,4 '-diethoxyazoxybenzene

Gervais Chapuis, Philip Pattison

The structural refinement of the modulated phase of 4,4'-Diethoxyazoxybenzene (DXB) indicates a correlation between the shifts on the DXB molecule (modulation) and the probability to find the azoxy (N --> O) group in different configurations (disorder). Th ...

2004

Gracefully Degrading Fair Exchange with Security Modules

Rachid Guerraoui, Gildas Avoine

The fair exchange problem is key to trading electronic items in systems of mutually untrusted parties. In modern variants of such systems, each party is equipped with a tamper proof security module. The security modules trust each other but can only commun ...

2004

Reliability and latency in binary communication

Emre Telatar, Aslan Tchamkerten

The transmission of one of two messages over a binary symmetric channels with perfect and instantaneous feedback is considered. We study the situation where transmitter and receiver want to communicated reliably and quickly. We propose a simple decoding ru ...

2003

A neural network for classification with incomplete data

If the data vector for input to an automatic classifier is incomplete, the optimal estimate for each class probability must be calculated as the expected value of the classifier output. We identify a form of Radial Basis Function (RBF) classifier whose exp ...

IDIAP2000