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Yanira De Paz

Universidad Internacional Isabel I de Castilla, Departamento de Matemáticas y Estadística, Faculty Member

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Yanira Del Rosario De Paz Santana es Licenciada en Matemáticas, con el Grado de Salamanca en Estadística, Doctora Europea “Cum Laude” en el programa de Física y Matemáticas por la Universidad de Salamanca. Acreditada como Contratada Doctor y Profesor de Universidad Privada por la ANECA en el campo de las Ciencias Experimentales.Coordinadora y participante de varios proyectos de Innovación Educativa en Castilla y León. Es la autora de los contenidos de la asignatura Métodos Matemáticos para la Estadística, coautora del libro “Tratamiento estadístico de datos con SPSS. Prácticas resueltas y comentadas”. Coautora de varias publicaciones relacionadas con las Redes Neuronales, Sistemas Multiagente y Algoritmos Genéticos. Profesora de Universidad desde el año 2002 de diferentes asignaturas de contenido Matemático y Estadístico y durante 6 meses desarrolló labores de bioinformática dentro del proyecto de investigación “Microarrays en el estudio de hemopatías malignas”.

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Papers by Yanira De Paz

Scmas: A Distributed Hierarchical Multi-Agent Architecture for Blocking Attacks to Databases

Abstract. One of the main attacks on databases is the SQL injection attack which causes severe da... more Abstract. One of the main attacks on databases is the SQL injection attack which causes severe damage both in the commercial aspect and the confidence of users. This paper presents a novel strategy for detecting and preventing SQL injection attacks consisting of a multi-agent based architecture called SCMAS. The SCMAS architecture is structured in hierarchical layers and incorporates SQLCBR agents with improved learning and adaptation capabilities. The SQLCBR agents presented within this paper have been specifically designed to classify SQL injection attacks and to predict the behaviour of malicious users. These agents incorporate a new technique based on a mixture of neural networks and a technique based on a temporal series. This paper begins with a detailed explanation of the SCMAS architecture and the SQLCBR agents. The results of their application to a case study are then presented and discussed

SiC: An Agent Based Architecture for Preventing and Detecting Attacks to Ubiquitous Databases

Computer Communications and Networks, 2009

One of the main attacks to ubiquitous databases is the SQL injection attack, which causes severe ... more One of the main attacks to ubiquitous databases is the SQL injection attack, which causes severe damages both in the commercial aspect, as in the user's confidence. This Chapter proposes the SiC architecture as a solution to the SQL injection attack problem. This is a hierarchical distributed multiagent architecture, which involves an entirely new approach with respect to existing architectures for the prevention and detection of SQL injections. SiC incorporates a kind of intelligent agent, which integrates a case-based reasoning system. This agent, which is the core of the architecture, allows the application of detection techniques based on anomalies as well as detection techniques based on patterns, providing a great degree of autonomy, flexibility, robustness and dynamic scalability. The characteristics of the multiagent system allow an architecture to detect attacks from different types of devices, regardless of the physical location. The architecture has been tested on a medical database, guaranteeing safe access from various devices such as PDAs and notebook computers.

SMas: A Shopping Mall Multiagent Systems

Lecture Notes in Computer Science, 2006

This paper presents a multiagent model that facilitates aspects of shopping mall management, as w... more This paper presents a multiagent model that facilitates aspects of shopping mall management, as well as increasing the quality of leisure facilities and shopping on offer. The work presented focuses on the use of a multi agent architecture, based on the use of deliberative agents that incorporates casebased planning. The architecture considers a dynamic framework, and the need to use autonomous models that are able to evolve over time. The architecture incorporates agents whose aim is to acquire knowledge and adapt themselves to the environmental changes. The system has been tested successfully, and the results obtained are presented in this paper.

Ambient Intelligence based architecture for automated dynamic environments

This paper presents an Ambient Intelligence based architecture that uses intelligent agents with ... more This paper presents an Ambient Intelligence based architecture that uses intelligent agents with reasoning and planning mechanisms. The agents have the ability to obtain automatic and real time information about the context using a set of technologies, such as radio frequency identification, wireless networks and wireless control devices. The architecture can be implemented on a wide diversity of dynamic environments. A case study is presented, describing the main characteristics of the planning mechanism supported by the architecture, implemented in a geriatric residence, giving the agents a high level of autonomy and flexibility for solving problems.

Evaluation of prognostic factors among patients with chronic graft-versus-host disease

Haematologica, 2012

Chronic graft-versus-host disease (cGVHD) is a major complication after allogeneic stem cell tran... more Chronic graft-versus-host disease (cGVHD) is a major complication after allogeneic stem cell transplantation with an adverse effect on both mortality and morbidity. In 2005, the National Institute of Health proposed new criteria for diagnosis and classification of chronic graft-versus-host disease for clinical trials. New sub-categories were recognized such as late onset acute graft-versus-host disease and overlap syndrome. Design and Methods We evaluated the prognostic impact of the new sub-categories as well as the clinical scoring system proposed by the National Institute of Health in a retrospective, multicenter study of 820 patients undergoing allogeneic stem cell transplantation between 2000 and 2006 at 3 different institutions. Patients were retrospectively categorized according to the National Institute of Health criteria from patients' medical histories. Results As far as the new sub-categories are concerned, in univariate analysis diagnosis of overlap syndrome adversely affected the outcome. Also, the number of organs involved for a cutoff value of 4 significantly influenced both cGVHD related mortality and survival. In multivariate analysis, in addition to NIH score, platelet count and performance score at the time of cGVHD diagnosis, plus gut involvement, significantly influenced outcome. These 3 variables allowed us to develop a simple score system which identifies 4 subgroups of patients with 84%, 64%, 43% and 0% overall survival at five years after cGVHD diagnosis (score 0:

Estudio piloto sobre el comportamiento free-rider

Integrating Case-based Planning and RPTW Neural Networks to Construct an Intelligent Environment for Health Care

by Juan M Corchado and Yanira De Paz

This paper presents an intelligent environment developed for monitoring patients’ health care in ... more This paper presents an intelligent environment developed for monitoring patients’ health care in
execution time in hospital environments. The CBPMP (Case-Based Planner for monitoring patients) is
an autonomous deliberative case-based planner designed to plan the nurses’ working time
dynamically, to maintain the standard working reports about the nurses’ activities, and to guarantee
that the patients assigned to the nurses are given the right care. The planner operates in wireless
devices and is integrated with complementary software into an intelligent environment, named AmI-P
(Ambient Intelligence for Patients). CBPMP description, its relationship with the complementary
technology, and preliminary results of system prototype in a real environment are presented.

An execution time planner for the ARTIS agent architecture

by Vicent Botti, javier Bajo, Juan M Corchado, Carlos Carrascosa, and Yanira De Paz

Engineering Applications of Artificial Intelligence, 2008

The purpose of this paper is to present an approach for integrating new complex deliberative beha... more The purpose of this paper is to present an approach for integrating new complex deliberative behaviours in a real-time agent architecture, specifically in the ARTIS agent architecture, which is specially designed for hard real-time environments. The new deliberative agent proposed remakes its plans at runtime conserving the system integrity and its real-time feature. The proposed system has been successfully tested in a robotic test environment. This environment consisted of the automated management of the internal and external mail in a department plant, where the main goal was to ease the workload of a mail-robot. The results obtained increased the flexibility and adaptability of the real-time agent while retaining the temporal restrictions. r

Scmas: A Distributed Hierarchical Multi-Agent Architecture for Blocking Attacks to Databases

A multiagent recommending system for shopping centres

92 A multiagent recommending system for shopping centres Javier Bajo1, Juan M. Corchado2, Yanira ... more

Integrating Case-based Planning and RPTW Neural Networks to Construct an Intelligent Environment for Health Care

Expert Systems With Applications an International Journal, Apr 1, 2009

An Attack Detection Mechanism Based on a Distributed Hierarchical Multi-agent Architecture for Protecting Databases

Advances in Intelligent and Soft Computing, 2009

1 Universidad Tecnológica de Panamá, Av. Manuel Espinosa Batista, Panama cristian.pinzon@utp.ac.p... more

A Multiagent Based Strategy for Detecting Attacks in Databases in a Distributed Mode

Advances in Soft Computing, 2009

This paper presents a distributed hierarchical multiagent architecture for detecting SQL injectio... more This paper presents a distributed hierarchical multiagent architecture for detecting SQL injection attacks against databases. It uses a novel strategy, which is supported by a Case-Based Reasoning mechanism, which provides to the classifier agents with a great capacity of learning and adaptation to face this type of attack. The architecture combines strategies of intrusion detection systems such as misuse detection and anomaly detection. It has been tested and the results are presented in this paper.

Combining Improved FYDPS Neural Networks and Case-Based Planning — A Case Study

Advances in Soft Computing, 2007

This paper presents a hybrid deliberative architecture based on the concept of CBPBDI agent. A CB... more This paper presents a hybrid deliberative architecture based on the concept of CBPBDI agent. A CBP-BDI agent is a BDI agent that incorporates a CBP reasoning engine. The work here presented focuses in the development of the CBP internal structure. The planning mechanism has been implemented by means of a novel FYDPS neural network. The system has been tested and

A CBR System: The Core of an Ambient Intelligence Health Care Application

Studies in Fuzziness and Soft Computing, 2008

Case-based Reasoning (CBR) is a type of reasoning based on the use of past experiences to solve n... more

Autonomous FYDPS Neural Network-Based Planner Agent for Health Care in Geriatric Residences

Advances in Soft Computing, 2007

This paper presents an autonomous intelligent agent developed for health care in geriatric reside... more This paper presents an autonomous intelligent agent developed for health care in geriatric residences. The paper focuses on the construction of an autonomous agent which incorporates a model of human thinking, such as reasoning based on past experiences. The work here presented focuses in the development of the CBP internal structure. The planning mechanism has been implemented by means of a novel FYDPS neural network. The system has been tested and this paper presents the results obtained.

Classification Agent-Based Techniques for Detecting Intrusions in Databases

Lecture Notes in Computer Science, 2008

This paper presents an agent specially designed for the prevention and detection of SQL injection... more This paper presents an agent specially designed for the prevention and detection of SQL injection at the database layer of an application. The agent incorporates a Case-based reasoning mechanism whose main characteristic involves a mixture of neural networks that carry out the task of filtering attacks. The agent had been tested and the results obtained are presented in this study.

Context-aware multiagent system: Planning home care tasks

Knowledge and Information Systems, 2013

ABSTRACT Context-aware systems are able to capture information from the context in which they are... more ABSTRACT Context-aware systems are able to capture information from the context in which they are executed, assign a meaning to the gathered information, and change their behavior accordingly. As a result, the systems can offer services to users according to their individual situation within the context. This article analyzes the important aspects of context-aware computing such as capturing information for context attributes and determining the manner of interacting with users in the environment. Used in conjunction with mobile devices, context-aware systems are specifically used to improve the usability of applications and services. This article proposes the home care context-aware computing (HoCCAC) multiagent system that identifies and maintains a permanent fix on the location of patients in their home, and manages the infrastructure of services within their environment securely and reliably by processing and reasoning the data received. Based on the multiagent system, a prototype was developed to monitor patients in their home. The HoCCAC multiagent system uses a critical path method-based planning model that, in the present study, prepares the most optimal task-planning schedule for the patients in their home, is capable of reacting automatically when faced with dangerous or emergency situations, replanning any plans in progress and sending alert messages to the system. The results obtained with this prototype are presented in this article.

TaskCBP: an intelligent agent for task planning in elderly care

International Journal of Computational Intelligence in Bioinformatics and Systems Biology, 2010

This paper presents an autonomous intelligent agent developed for healthcare in geriatric residen... more This paper presents an autonomous intelligent agent developed for healthcare in geriatric residences. The paper focuses on the role of ambient intelligence in the automation of healthcare services. The work here presented shows the development of an autonomous agent, TaskCBP, which incorporates a model of human thinking, such as reasoning based on past experiences. The planning mechanism integrated within the agent has been implemented by means of a novel QSOR neural network. The system has been tested and this paper presents the results obtained.

Integrating case-based planning and RPTW neural networks to construct an intelligent environment for health care

Expert Systems with Applications, 2009