Browsing by Author "Elguezabal, Gorka Benguria"
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Item Applying a model driven approach to an e-business environment(2006) Uriarte, Xabier Larrucea; Elguezabal, Gorka Benguria; Tecnalia Research & Innovation; HPATraditionally, the implementation of business processes in IT systems is based on the oral transmission of requirements between business and IT experts. This involves a high risk of misunderstanding and loss of information, which may result in the failure of the project, losing time and money. This paper presents the application of a MDA approach to bridge the gap between these domains, business and IT. This is done by applying of a set of automatic transformations, which ensure the coherence between business processes and IT systems. In addition, this paper concludes with several adoption problems and benefits of this approach.Item Business process definition languages versus traditional methods towards interoperability(2005) Merino, Leire Bastida; Elguezabal, Gorka Benguria; ADV_INTER_PLAT; HPAA business process is a collection of activities that are required to achieve a business goal and it is represented with an activity flow that specifies the orchestration needed to complete the goal. The definition of these processes allows business people to easily integrate the functionalities of the COTS in the company to support the business objectives. This activity flow can be implemented in two ways, using traditional methods or using a Business Process Definition Language (BPDL). Traditional methods encode the activity flow using state of the art programming languages such as Java, C#, etc. BPDLs describe the activity flow with a specific language that is directly interpreted by a BPDL engine. This paper analyses the use of BPDLs and traditional methods to develop solutions for services-based architectures. It presents a case study where the results obtained using a BPDL and a traditional method are compared.Item Runtime security monitoring by an interplay between rule matching and deep learning-based anomaly detection on logs(Institute of Electrical and Electronics Engineers Inc., 2023) Antic, Jan; Costa, Joao Pita; Cernivec, Ales; Cankar, Matija; Martincic, Tomaz; Potocnik, Aljaz; Ratkajec, Hrvoje; Elguezabal, Gorka Benguria; Leligou, Nelly; Lakka, Alexandra; Boigues, Ismael Torres; Morte, Eliseo Villanueva; HPAIn the era of digital transformation the increasing vulnerability of infrastructure and applications is often tied to the lack of technical capability and the improved intelligence of the attackers. In this paper, we discuss the complementarity between static security monitoring of rule matching and an application of self-supervised machine-learning to cybersecurity. Moreover, we analyse the context and challenges of supply chain resilience and smart logistics. Furthermore, we put this interplay between the two complementary methods in the context of a self-learning and self-healing approach.