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Concept

Email spoofing

Related publications (11)

Template Induction over Unstructured Email Corpora

Julia Proskurnia

Unsupervised template induction over email data is a central component in applications such as information extraction, document classification, and auto-reply. The benefits of automatically generating such templates are known for structured data, e.g. mach ...

Profiling, Modelling and Facilitating Online Activism

Julia Proskurnia

The extensive and successful use of social media has enhanced and empowered a variety of movements all over the world in a way that is hard to achieve through conventional means. This has led to numerous studies that leverage online social data to describe ...

EPFL2017

Trustworthy Biometric Verification under Spoofing Attacks : Application to the Face Mode

Ivana Chingovska

The need for automation of the identity recognition process for a vast number of applications resulted in great advancement of biometric systems in the recent years. Yet, many studies indicate that these systems suffer from vulnerabilities to spoofing (pre ...

EPFL2016

On the use of client identity information for face anti-spoofing

André Anjos, Ivana Chingovska

With biometrics playing the role of a password which can not be replaced if stolen, the necessity of establishing counter- measures to biometric spoofing attacks has been recognized. Regardless of the biometric mode, the typical approach of anti-spoofing s ...

2015

Biometrics Evaluation Under Spoofing Attacks

Sébastien Marcel, André Anjos, Ivana Chingovska

While more accurate and reliable than ever, the trustworthiness of biometric verification systems is compromised by the emergence of spoofing attacks. Responding to this threat, numerous research publications address isolated spoofing detection, resulting ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Resolving FP-TP Conflict in Digest-Based Collaborative Spam Detection by Use of Negative Selection Algorithm

Jean-Yves Le Boudec

A well-known approach for collaborative spam filtering is to determine which emails belong to the same bulk, e.g. by exploiting their content similarity. This allows, after observing an initial portion of a bulk, for the bulkiness scores to be assigned to ...

2008

Improving Digest-Based Collaborative Spam Detection

Jean-Yves Le Boudec

Spam is usually sent in bulk. A bulk mailing consists of many copies of the same original spam message, each sent to a different recipient. The copies are usually obfuscated, i.e. modified a bit in order to look different from each other. In collaborative ...

2008

Artificial immune system for the Internet

We investigate the usability of the Artificial Immune Systems (AIS) approach for solving selected problems in computer networks. Artificial immune systems are created by using the concepts and algorithms inspired by the theory of how the Human Immune Syste ...

EPFL2008

Artificial Immune System For Collaborative Spam Filtering

Jean-Yves Le Boudec

Artificial immune systems (AIS) use the concepts and algorithms inspired by the theory of how the human immune system works. This document presents the design and initial evaluation of a new artificial immune system for collaborative spam filtering. Collab ...

Springer Verlag2008

AntispamLab - A Tool for Realistic Evaluation of Email Spam Filters

Jean-Yves Le Boudec

The existing tools for testing spam filters evaluate a filter instance by simply feeding it with a stream of emails, possibly also providing a feedback to the filter about the correctness of the detection. In such a scenario the evaluated filter is disconn ...

2007

Enforcing email addresses privacy using tokens

Serge Vaudenay

We propose a system which allows users to monitor how their email addresses are used and how they spread over the Internet. This protects the privacy of the user and can reduce the spam phenomenon. Our solution does not require changes to the email infrast ...

2005

Related publications (11)