Visualitza per autoria "Lobo, Jorge"

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  • A datalog framework for modeling relationship-based access control policies
    Pasarella Sánchez, Ana Edelmira; Lobo, Jorge (ACM Association for Computer Machinery, 2017)
    Relationships like friendship to limit access to resources have been part of social network applications since their beginnings. Describing access control policies in terms of relationships is not particular to social ...
  • A role-based infrastructure for the management of dynamic communities
    Schaeffer-Filho, Alberto; Lupu, Emil; Sloman, Morris; Keoh, Sye-Loon; Lobo, Jorge; Calo, Seraphin (Springer, 2008)
    This paper addresses the problem of specifying and establishing secure collaborations between autonomous entities that need to interact and depend on each other in order to accomplish their goals. We call such collaborations ...
  • A security-constrained reinforcement learning framework for software defined networks
    Mudgerikar, Anand; Bertino, Elisa; Lobo, Jorge; Verma, Dinesh (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Reinforcement Learning (RL) is an effective technique for building ‘smart’ SDN controllers because of its model-free nature and ability to learn policies online without requiring extensive training data. However, as RL ...
  • Convergence verification of declarative distributed systems
    Calvanese, Diego; Cosmo, Francesco di; Lobo, Jorge; Montali, Marco (CEUR Workshop Proceedings, 2021)
    Logic-based languages, such as Datalog and Answer Set Programming, have been recently put forward as a data-centric model to effectively specify and implement network services and protocols, seeing them as dynamic systems ...
  • Data for NFVSDN experiments
    Rankothge, Windhya; Le, Franck; Russo, Alessandra; Lobo, Jorge (Universitat Pompeu Fabra, 2017)
    Network Function Virtualization (NFV) proposes to move packet processing from dedicated hardware middle-boxes to software running on commodity servers: virtualized Network Function (NFs) (i.e, Firewall, Proxy, Intrusion ...
  • Data modelling for the evaluation of virtualized network functions resource allocation algorithms
    Rankothge, Windhya; Le, Franck; Russo, Alessandra; Lobo, Jorge (2017)
    To conduct a more realistic evaluations on resource allocation algorithms for Virtualized Network Functions (VNFs), researches need data on: (1) potential Network Functions (NFs) chains (policies), (2) traffic flows ...
  • Embed2Sym: scalable neuro-symbolic reasoning via clustered embeddings
    Aspis, Yaniv; Broda, Krysia; Lobo, Jorge; Russo, Alessandra (International Joint Conferences on Artificial Intelligence Organization, 2022)
    Neuro-symbolic reasoning approaches proposed in recent years combine a neural perception component with a symbolic reasoning component to solve a downstream task. By doing so, these approaches can provide neural networks ...
  • Experimental results on the use of genetic algorithms for scaling virtualized network functions
    Rankothge, Windhya; Le, Franck; Russo, Alessandra; Lobo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Network Function Virtualization (NFV) is bringing closer the possibility to truly migrate enterprise data centers into the cloud. However, for a Cloud Service Provider to offer such services, important questions include ...
  • FastLAS: scalable inductive logic programming incorporating domain-specific optimisation criteria
    Law, Mark; Russo, Alessandra; Bertino, Elisa; Broda, Krysia; Lobo, Jorge (Association for the Advancement of Artificial Intelligence (AAAI), 2020)
    Inductive Logic Programming (ILP) systems aim to find a set of logical rules, called a hypothesis, that explain a set of examples. In cases where many such hypotheses exist, ILP systems often bias towards shorter solutions, ...
  • FFNSL: Feed-Forward Neural-Symbolic Learner
    Cunnington, Daniel; Law, Mark; Lobo, Jorge; Russo, Alessandra (Springer, 2023)
    Logic-based machine learning aims to learn general, interpretable knowledge in a data-efficient manner. However, labelled data must be specified in a structured logical form. To address this limitation, we propose a ...
  • On security policy migrations
    Lobo, Jorge; Bertino, Elisa; Russo, Alessandra (ACM Association for Computer Machinery, 2020)
    There has been over the past decade a rapid change towards computational environments that are comprised of large and diverse sets of devices, many of them mobile, which can connect in flexible and context-dependent ways. ...
  • Online symbolic learning of policies for explainable security
    Drozdov, Arthur; Law, Mark; Lobo, Jorge; Russo, Alessandra; Wilathgamuwage Don, Mercion (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Statistical Machine Learning (ML) has been proved to be an invaluable tool in many areas including privacy and security. On the other hand, recent advances in the field of Symbolic Learning have included novel scalable ...
  • Optimizing resource allocation for virtualized network functions in a cloud center using genetic algorithms
    Rankothge, Windhya; Le, Franck; Russo, Alessandra; Lobo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    With the introduction of network function virtualization technology, migrating entire enterprise data centers into the cloud has become a possibility. However, for a cloud service provider (CSP) to offer such services, ...
  • An Overview of a load balancer architecture for VNF chains horizontal scaling
    Ma, Jiefei; Rankothge, Windhya; Makaya, Christian; Morales, Mariceli; Le, Franck; Lobo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    We present an architectural design and a reference implementation for horizontal scaling of virtual network function chains. Our solution does not require any changes to network functions and is able to handle stateful ...
  • Reasoning about policy behavior in logic-based trust management systems: some complexity results and an operational framework
    Pasarella Sánchez, Ana Edelmira; Lobo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    In this paper we show that the logical framework proposed by Becker et al. [1] to reason about security policy behavior in a trust management context can be captured by an operational framework that is based on the language ...
  • Redundancy as a measure of fault-tolerance for the Internet of Things: A review
    Lobo, Jorge; Rullo, Antonino; Serra, Edoardo (Springer, 2019)
    In this paper we review and analyze redundancy-based fault-tolerant techniques for the IoT as a paradigm to support two of the main goals of computer security: availability and integrity. We organized the presentation in ...
  • Representing and learning grammars in answer set programming
    Law, Mark; Russo, Alessandra; Bertino, Elisa; Broda, Krysia; Lobo, Jorge (Association for the Advancement of Artificial Intelligence (AAAI), 2019)
    In this paper we introduce an extension of context-free grammars called answer set grammars (ASGs). These grammars allow annotations on production rules, written in the language of Answer Set Programming (ASP), which can ...
  • Shortfall-based optimal placement of security resources for mobile IoT scenarios
    Rullo, Antonino; Serra, Edoardo; Bertino, Elisa; Lobo, Jorge (Springer, 2017)
    We present a method for computing the best provisioning of security resources for Internet of Things (IoT) scenarios characterized by a high degree of mobility. The security infrastructure is specifed by a security resource ...
  • Towards making network function virtualization a cloud computing service
    Rankothge, Windhya; Ma, Jiefei; Le, Franck; Russo, Alessandra; Lobo, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    By allowing network functions to be virtualized and run on commodity hardware, NFV enables new properties (e.g., elastic scaling), and new service models for Service Providers, Enterprises, and Telecommunication Service ...
  • Towards virtualized network functions as a service
    Rankothge, Windhya (Universitat Pompeu Fabra, 2017-05-15)
    Network Function Virtualization (NFV) is a promising technology that proposes to move packet processing from dedicated hardware middle-boxes to software running on commodity servers. As such, NFV brings the possibility of ...

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