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Found 13 papers, 0 papers with code
The Value of Big Data for Credit Scoring: Enhancing Financial Inclusion using Mobile Phone Data and Social Network Analytics
In terms of profit, the best model is the one built with only calling behavior features.
Brief survey of Mobility Analyses based on Mobile Phone Datasets
This is a brief survey of the research performed by Grandata Labs in collaboration with numerous academic groups around the world on the topic of human mobility.
Comparison of Feature Extraction Methods and Predictors for Income Inference
Patterns of mobile phone communications, coupled with the information of the social network graph and financial behavior, allow us to make inferences of users' socio-economic attributes such as their income level.
A Bayesian Approach to Income Inference in a Communication Network
The explosion of mobile phone communications in the last years occurs at a moment where data processing power increases exponentially.
Uncovering the Spread of Chagas Disease in Argentina and Mexico
We analyze here mobility and calling patterns in order to identify potential risk zones for the disease, by using public health information and mobile phone records.
Inference of Users Demographic Attributes based on Homophily in Communication Networks
Over the past decade, mobile phones have become prevalent in all parts of the world, across all demographic backgrounds.
Prepaid or Postpaid? That is the question. Novel Methods of Subscription Type Prediction in Mobile Phone Services
Our study reveals that (a) postpaid customers are more active in terms of service usage and (b) there are strong structural correlations in the mobile phone call network as connections between customers of the same subscription type are much more frequent than those between customers of different subscription types.
POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks.
Les POMDP font de meilleurs hackers: Tenir compte de l'incertitude dans les tests de penetration
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks.
Automated Attack Planning
First, we introduce a conceptual model of computer network attacks, based on an analysis of the penetration testing practices.
Penetration Testing == POMDP Solving?
Penetration Testing is a methodology for assessing network security, by generating and executing possible attacks.
Attack Planning in the Real World
In this paper we present a complete PDDL representation of an attack model, and an implementation that integrates a planner into a penetration testing tool.
An Algorithm to Find Optimal Attack Paths in Nondeterministic Scenarios
We herein contribute a planning model that does capture the uncertainty about the results of the actions, which is modeled as a probability of success of each action.
