Now showing items 1-20 of 81

    • A first look into Alexa’s interaction security 

      Castell Uroz, Ismael; Marrugat Plaza, Xavier; Solé Pareta, Josep; Barlet Ros, Pere (Association for Computing Machinery (ACM), 2019)
      Conference report
      Open Access
      With a rapidly increasing market of millions of devices, the intelligent virtual assistants (IVA) have become a new vector available to exploit security breaches. In this work we approach the third revision of the Amazon ...
    • A lightweight algorithm for traffic filtering over sliding windows 

      Sanjuàs Cuxart, Josep; Barlet Ros, Pere; Solé Pareta, Josep; Andriuzzi, Gabriella (2012)
      Conference report
      Restricted access - publisher's policy
      The problem of testing whether a packet belongs to a set of filtered addresses has been traditionally addressed using Bloom filters. They have a small memory footprint and require few memory accesses per query and insertion, ...
    • A NetFlow/IPFIX implementation with OpenFlow 

      Suárez-Varela Maciá, José Rafael; Barlet Ros, Pere; Carela Español, Valentín (2017)
      Conference report
      Open Access
    • A novel approach to security enhancement of chaotic DSSS systems 

      Nguyen, Xuan Quyen; Nguyen, Chuyen T.; Barlet Ros, Pere; Dojen, Reiner (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Open Access
      In this paper, we propose a novel approach to the enhancement of physical layer security for chaotic direct-sequence spread-spectrum (DSSS) communication systems. The main idea behind our proposal is to vary the symbol ...
    • A one-pass clustering based sketch method for network monitoring 

      Fu, Yongquan; An, Lun; Shen, Siqi; Chen, Kai; Barlet Ros, Pere (Institute of Electrical and Electronics Engineers (IEEE), 2023-12)
      Article
      Open Access
      Network monitoring solutions need to cope with increasing network traffic volumes, as a result, sketch-based monitoring methods have been extensively studied to trade accuracy for memory scalability and storage reduction. ...
    • A practical approach to portscan detection in very high-speed links 

      Mikians, Jakub; Barlet Ros, Pere; Sanjuàs Cuxart, Josep; Solé Pareta, Josep (Springer Verlag, 2011)
      Conference report
      Restricted access - publisher's policy
      Port scans are continuously used by both worms and human attackers to probe for vulnerabilities in Internet facing systems. In this paper, we present a new method to efficiently detect TCP port scans in very high-speed ...
    • A skewness-aware matrix factorization approach for mesh-structured cloud services 

      Fu, Yongquan; Li, Dongsheng; Barlet Ros, Pere; Huang, Chun; Huang, Zhen; Shen, Siqi; Su, Huayou (2019-08)
      Article
      Open Access
      Online cloud services need to fulfill clients' requests scalably and fast. State-of-the-art cloud services are increasingly deployed as a distributed service mesh. Service to service communication is frequent in the mesh. ...
    • A streaming flow-based technique for traffic classification applied to 12 + 1 years of Internet traffic 

      Carela Español, Valentín; Barlet Ros, Pere; Bifet Figuerol, Albert Carles; Fukuda, Kensuke (2016-10)
      Article
      Open Access
      The continuous evolution of Internet traffic and its applications makes the classification of network traffic a topic far from being completely solved. An essential problem in this field is that most of proposed techniques ...
    • A survey on web tracking: mechanisms, implications, and defenses 

      Bujlow, Tomasz; Carela Español, Valentín; Solé Pareta, Josep; Barlet Ros, Pere (2017-08-01)
      Article
      Open Access
      Privacy seems to be the Achilles' heel of today's web. Most web services make continuous efforts to track their users and to obtain as much personal information as they can from the things they search, the sites they visit, ...
    • Accelerating deep reinforcement learning for digital twin network optimization with evolutionary strategies 

      Güemes Palau, Carlos; Almasan Puscas, Felician Paul; Xiao, Shihan; Cheng, Xiangle; Shi, Xiang; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Conference report
      Open Access
      The recent growth of emergent network applications (e.g., satellite networks, vehicular networks) is increasing the complexity of managing modern communication networks. As a result, the community proposed the Digital Twin ...
    • ALLIANCE Project: Architecting a knowledge-defined 5G-enabled network infrastructure 

      Careglio, Davide; Spadaro, Salvatore; Cabellos Aparicio, Alberto; Lázaro Villa, José Antonio; Perelló Muntan, Jordi; Barlet Ros, Pere; Gené Bernaus, Joan M.; Paillissé Vilanova, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      Leaving the current 4th generation of mobile communications behind, 5G will represent a disruptive paradigm shift integrating access networks, ultra-high capacity access/metro/core optical networks and intra-datacentre ...
    • Amazon Alexa traffic traces 

      Barceló Armada, Rubén; Castell Uroz, Ismael; Barlet Ros, Pere (2022-03)
      Article
      Open Access
      The number of devices that make up the Internet of Things (IoT) has been increasing every year, including smart speakers such as Amazon Echo devices. These devices have become very popular around the world where users with ...
    • An autonomic traffic classification system for network operation and management 

      Carela Español, Valentín; Barlet Ros, Pere; Mulla Valls, Oriol; Solé Pareta, Josep (2015-07-01)
      Article
      Open Access
      Traffic classification is an important aspect in network operation and management, but challenging from a research perspective. During the last decade, several works have proposed different methods for traffic classification. ...
    • Analysis of YouTube user experience from passive measurements 

      Dimopoulos, Georgios; Barlet Ros, Pere; Sanjuas Cuxart, Josep (Institute of Electrical and Electronics Engineers (IEEE), 2013)
      Conference report
      Restricted access - publisher's policy
      In this paper, we analyze the YouTube service and the traffic generated from its usage. The purpose of this study is to identify by strictly using passive measurements the information that can be used as metrics or indicators ...
    • ASTrack: Automatic detection and removal of web tracking code with minimal functionality loss 

      Castell Uroz, Ismael; Fukuda, Kensuke; Barlet Ros, Pere (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Conference report
      Open Access
      Recent advances in web technologies make it more difficult than ever to detect and block web tracking systems. In this work, we propose ASTrack, a novel approach to web tracking detection and removal. ASTrack uses an ...
    • Automating root-cause analysis of network anomalies using frequent itemset mining 

      Paredes Oliva, Ignasi; Dimitropoulos, Xenofontas; Molina, Maurizio; Barlet Ros, Pere; Brauckhoff, Daniela (ACM Press. Association for Computing Machinery, 2010)
      Conference lecture
      Open Access
      Finding the root-cause of a network security anomaly is essential for network operators. In our recent work [1, 5], we introduced a generic technique that uses frequent itemset mining to automatically extract and summarize ...
    • Building a Digital Twin for network optimization using graph neural networks 

      Ferriol Galmés, Miquel; Suárez-Varela Maciá, José Rafael; Paillissé Vilanova, Jordi; Shi, Xiang; Xiao, Shihan; Cheng, Xiangle; Barlet Ros, Pere; Cabellos Aparicio, Alberto (2022-11-09)
      Article
      Open Access
      Network modeling is a critical component of Quality of Service (QoS) optimization. Current networks implement Service Level Agreements (SLA) by careful configuration of both routing and queue scheduling policies. However, ...
    • Challenging the generalization capabilities of Graph Neural Networks for network modeling 

      Suárez-Varela Maciá, José Rafael; Carol Bosch, Sergi; Rusek, Krzysztof; Almasan Puscas, Felician Paul; Arias Vicente, Marta; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Association for Computing Machinery (ACM), 2019)
      Conference report
      Open Access
      Today, network operators still lack functional network models able to make accurate predictions of end-to-end Key Performance Indicators (e.g., delay or jitter) at limited cost. Recently a novel Graph Neural Network (GNN) ...
    • Cuckoo sampling: robust collection of flow aggregates under a fixed memory budget 

      Sanjuàs Cuxart, Josep; Barlet Ros, Pere; Duffield, Nick; Kompella, Ramana (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Conference report
      Restricted access - publisher's policy
      Collecting per-flow aggregates in high-speed links is challenging and usually requires traffic sampling to hand le peak rates and extreme traffic mixes. Static selection of sam pling rates is problematic, since ...
    • Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case 

      Almasan Puscas, Felician Paul; Suárez-Varela Maciá, José Rafael; Rusek, Krzysztof; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Elsevier, 2022-12-01)
      Article
      Restricted access - publisher's policy
      Deep Reinforcement Learning (DRL) has shown a dramatic improvement in decision-making and automated control problems. Consequently, DRL represents a promising technique to efficiently solve many relevant optimization ...