CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

The development of a prototype intelligent user interface subsystem for NASA's scientific database systems

The National Space Science Data Center (NSSDC) has initiated an Intelligent Data Management (IDM) research effort which has as one of its components the development of an Intelligent User Interface (IUI).The intent of the latter is to develop a friendly and intelligent user interface service that is based on expert systems and natural language processing technologies. The purpose is to support the large number of potential scientific and engineering users presently having need of space and land related research and technical data but who have little or no experience in query languages or understanding of the information content or architecture of the databases involved. This technical memorandum presents prototype Intelligent User Interface Subsystem (IUIS) using the Crustal Dynamics Project Database as a test bed for the implementation of the CRUDDES (Crustal Dynamics Expert System). The knowledge base has more than 200 rules and represents a single application view and the architectural view. Operational performance using CRUDDES has allowed nondatabase users to obtain useful information from the database previously accessible only to an expert database user or the database designer

Development and application of computer software techniques to human factors task data handling problems Final report, 21 Jun. 1965 - 21 Jun. 1966

Computer software techniques applied to human factors task data handling problem

Gazo bunseki to kanren joho o riyoshita gazo imi rikai ni kansuru kenkyu

制度:新 ; 報告番号:甲3514号 ; 学位の種類:博士(国際情報通信学) ; 授与年月日:2012/2/8 ; 早大学位記番号:新585

e-DOCSPROS : exploring TEXPROS into e-business era

Document processing is a critical element of office automation. TEXPROS (TEXt PROcessing System) is a knowledge-based system designed to manage personal documents. However, as the Internet and e-Business changed the way offices operate, there is a need to re-envision document processing, storage, retrieval, and sharing. In the current environment, people must be able to access documents remotely and to share those documents with others. e-DOCPROS (e-DOCument PROcessing System) is a new document processing system that takes advantage of many of TEXPROS\u27s structures but adapts the system to this new environment. The new system is built to serve e-businesses, takes advantage of Internet protocols, and to give remote access and document sharing. e-DOCPROS meets the challenge to provide wider usage, and eventually will improve the efficiency and effectiveness of office automation. It allows end users to access their data through any Web browser with Internet access, even a wireless network, which will evolutionarily change the way we manage information. The application of e-DOCPROS to e-Business is considered. Four types of business models re considered here. The first is the Business-to-Business (B2B) model, which performs business-to-business transactions through an Extranet. The Extranet consists of multiple Intranets connected via the Internet.The second is the Business-to-Consumer (B2Q model, which performs business-to-consumer transactions through the Internet. The third is the Intranet model, which performs transactions within an organization through the organization\u27s network. The fourth is the Consumer-to-Consumer (C2C) model, which performs consumer-to consumer transactions through the Internet. A triple model is proposed in this dissertation to integrate organization type hierarchy and document type hierarchy together into folder organization. e-DOCPROS introduces new features into TEXPROS to support those four business models and to accommodate the system requirements. Extensible Markup Language (XML), an industrial standard protocol for data exchange, is employed to achieve the goal of information exchange between e-DOCPROS and the other systems, and also among the subsystems within e-DOCPROS. Document Object Model (DOM) specification is followed throughout the implementation of e-DOCPROS to achieve portability. Agent-based Application Service Provider (ASP) implementation is employed in e-DOCPROS system to achieve cost-effectiveness and accessibility

Highly Relevant Routing Recommendation Systems for Handling Few Data Using MDL Principle and Embedded Relevance Boosting Factors

A route recommendation system can provide better recommendation if it also takes collected user reviews into account, e.g. places that generally get positive reviews may be preferred. However, to classify sentiment, many classification algorithms existing today suffer in handling small data items such as short written reviews. In this paper we propose a model for a strongly relevant route recommendation system that is based on an MDL-based (Minimum Description Length) sentiment classification and show that such a system is capable of handling small data items (short user reviews). Another highlight of the model is the inclusion of a set of boosting factors in the relevance calculation to improve the relevance in any recommendation system that implements the model.Comment: ACM SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval (LND4IR'18), July 12, 2018, Ann Arbor, Michigan, USA, 8 pages, 9 figure

Software for malicious macro detection

The objective of this work is to give a detailed study of the development process of a software tool for the detection of the Emotet virus in Microsoft Office files, Emotet is a virus that has been wreaking havoc mainly in the business environment, from its beginnings as a banking Trojan to nowadays. In fact, this polymorphic family has managed to generate evident, incalculable and global inconveniences in the business activity without discriminating by corporate typology, affecting any company regardless of its size or sector, even entering into government agencies, as well as the citizens themselves as a whole. The existence of two main obstacles for the detection of this virus, constitute an intrinsic reality to it, on the one hand, the obfuscation in its macros and on the other, its polymorphism, are essential pieces of the analysis, focusing our tool in facing precisely two obstacles, descending to the analysis of the macros features and the creation of a neuron network that uses machine learning to recognize the detection patterns and deliberate its malicious nature. With Emotet's in-depth nature analysis, our goal is to draw out a set of features from the malicious macros and build a machine learning model for their detection. After the feasibility study of this project, its design and implementation, the results that emerge endorse the intention to detect Emotet starting only from the static analysis and with the application of machine learning techniques. The detection ratios shown by the tests performed on the final model, present a accuracy of 84% and only 3% of false positives during this detection process.Grado en Ingeniería Informátic

A digital vault solution for banking institutions

Trabalho de projecto de mestrado, Segurança Informática, Universidade de Lisboa, Faculdade de Ciências, 2019Este projeto surgiu no âmbito da necessidade que a empresa Securibox tem em fornecer um produto de armazenamento seguro compatível com o funcionamento na nuvem, para as instituições bancárias que operam no mercado francês. Com o aparecimento da banca on-line e o intuito de atrair mais clientes, as instituições bancárias começaram a oferecer serviços que vão para além dos serviços convencionais deste setor. Muitas vezes esses serviços tratam ou armazenam dados sensíveis dos seus clientes e podem até incluir informação e documentos pessoais dos utilizadores que estão hospedados noutras entidades, tais como faturas eletrónicas, transações bancárias de outras instituições financeiras e recibos de vencimento. No entanto, sempre que for necessário armazenar informação dos clientes, este processo tem de respeitar um conjunto de boas práticas e normas do país onde a instituição opera, utilizando para o efeito um cofre digital. No caso do mercado francês, existem poucas soluções que satisfazem, parcialmente ou totalmente, as normas e a legislação respeitante aos cofres digitais e que sejam tecnicamente eficientes e competitivas. O objetivo deste trabalho visou desenvolver uma versão inicial de uma solução que colmata a necessidade atual do mercado bancário francês relativo à área de armazenamento e manuseamento inteligente de dados. Para satisfazer as normas da União Europeia e da França em particular, é necessário armazenar os ficheiros de forma cifrada, registar o seu formato, como, quando e por quem estes formas acedidos e os seus meta-dados de modo a garantir a sua preservação mesmo após a eliminação dos mesmos. Este desafio foi resolvido, e para se destacar das soluções atualmente existentes, foi construída a base para no futuro integrar esta solução com o serviço Securibox ParseXtract, que tem a capacidade de analisar e extrair informação importante do conteúdo dos documentos, de uma forma estruturada e precisa, recorrendo a aprendizagem automática. Para o armazenamento dos documentos a solução adotada foi o OpenStack Swift – um software de código aberto, compatível com nuvens pública e privadas. Uma vez que os documentos podem ser eliminados do sistema pelo utilizador, é necessário a existência de uma plataforma, separada do OpenStack, para armazenar os dados relativos aos meta-dados dos documentos e acessos ao sistema. A solução encontrada para o armazenamento destes dados, consiste no seu registo, através de logs, numa base de dados não relacional – o MongoDB, que é compatível com tecnologias em nuvem e é eficiente com grandes volumes de dados. Para realizar a comunicação entre os vários componentes do cofre digital, foi criado um serviço que oferece uma REST API, o núcleo da solução. Nesta camada, os documentos são cifrados garantindo também a integridade, confidencialidade e o não-repúdio dos dados. Por último, um servidor Web que comunica com a REST API foi criado para demonstrar todas as funcionalidades do cofre digital. As principais vantagens desta solução consistem na utilização de tecnologias código aberto, na compatibilidade com o funcionamento na nuvem, na escalabilidade de todas as suas camadas, tais como o armazenamento de dados, logs e serviço web API, e numa melhor integração com outros produtos da Securibox, que deste modo reduzem o custo da solução para o cliente final. Do ponto de vista conceptual, esta solução pode ser utilizada não apenas pelo sector bancário, mas também por qualquer outra área empresarial onde é necessário armazenar grandes volumes de dados em nuvem privada e pública em simultâneo, tendo como base uma solução facilmente escalável e onde todas as ações dos seus utilizadores são rastreáveis em conformidade com a legislação.This project is a result of the Securibox need to provide a digital vault storage solution for some of their bank clients, operating in the French market. Since electronic banking has emerged, banking institutions began to provide online services that go beyond conventional bank services to attract more users. Sometimes those services involve operations with personal data of their customers which can include data and documents from other services, entities and companies. All this information must be stored on the banking institution side, using a secure digital vault storage, while respecting the legislation of the country where the institution is located. The goal of this work was to develop an initial solution, that would address the current needs of the French banking market, regarding intelligent data handling and storage. To be compliant with the European Union and the French legislation it is necessary to ensure the security and the privacy of the costumers documents and data. To address those requirements a REST API solution was developed using .Net technology. This solution is divided in 3 layers. The document storage layer, the metadata and log storage layer and the core layer. The documents are encrypted and stored at the OpenStack Swift environment, while metadata is stored at the MongoDB database as journal log entries. The information processing and the communication between OpenStack and MongoDB occurs at the core layer. This solution relies on open-source technologies, is easily scalable and compatible with other Securibox products. Conceptually it can be used, not only by banking institutions, but also by any organization or company that have to store and deal with large amounts of information