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Andrea Bondavalli

Andrea Bondavalli

D-Index & Metrics

Computer Science

D-Index
32
Citations
4825
World Ranking
13108
National Ranking
459

Overview

Andrea Bondavalli is affiliated with the University of Florence in Italy. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields including Artificial Intelligence, Computer Networks and Communications, Software, Safety, Risk, Reliability and Quality, and Signal Processing.

Their main topics of research include:

  • Anomaly Detection Techniques and Applications
  • Network Security and Intrusion Detection
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Safety Systems Engineering in Autonomy
  • Software System Performance and Reliability
  • Advanced Software Engineering Methodologies

Andrea Bondavalli has contributed to multiple recent papers, including:

  • "Unsupervised Algorithms to Detect Zero-Day Attacks: Strategy and Application" (2021), published in IEEE Access
  • "Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection" (2023), published in Computers & Security
  • "Meta-Learning to Improve Unsupervised Intrusion Detection in Cyber-Physical Systems" (2021), published in ACM Transactions on Cyber-Physical Systems
  • "On the educated selection of unsupervised algorithms via attacks and anomaly classes" (2020), published in Journal of Information Security and Applications
  • "Towards Trustworthy Autonomous Systems: Taxonomies and Future Perspectives" (2022), published in IEEE Transactions on Emerging Topics in Computing

They have collaborated frequently with several researchers, including:

  • Andrea Ceccarelli
  • Tommaso Zoppi
  • Paolo Lollini
  • Mohamad Gharib
  • Francesco Brancati

Andrea Bondavalli's work frequently appears in publication venues such as:

  • IEEE Access
  • arXiv (Cornell University)
  • ACM Transactions on Cyber-Physical Systems
  • IEEE Transactions on Emerging Topics in Computing
  • Sensors

In addition to journal articles, they have contributed to book publications, including a work published by River Publishers eBooks titled Certifications of Critical Systems - The CECRIS Experience (2022).

Best Publications

  • The meaning and role of value in scheduling flexible real-time systems

    A. Burns;D. Prasad;A. Bondavalli;F. Di Giandomenico

  • Threshold-based mechanisms to discriminate transient from intermittent faults

    A. Bondavalli;S. Chiaradonna;F. Di Giandomenico;F. Grandoni

  • Dependability analysis in the early phases of UML-based system design

    Andrea Bondavalli;Mario Dal Cin;Diego Latella;István Majzik

  • Markov regenerative stochastic petri nets to model and evaluate phased mission systems dependability

    I. Mura;A. Bondavalli

  • GUARDS: a generic upgradable architecture for real-time dependable systems

    D. Powell;J. Arlat;L. Beus-Dukic;A. Bondavalli

  • Dependability modeling and evaluation of multiple-phased systems using DEEM

    A. Bondavalli;S. Chiaradonna;F. Di Giandomenico;I. Mura

  • Failure classification with respect to detection

    A. Bondavalli;L. Simoncini

  • Stochastic dependability analysis of system architecture based on UML models

    István Majzik;András Pataricza;Andrea Bondavalli

  • Dependability modeling and evaluation of phased mission systems: a DSPN approach

    I. Mural;A. Bondavalli;X. Zang;K.S. Trivedi

  • Hierarchical modeling and evaluation of phased-mission systems

    I. Mura;A. Bondavalli

  • Unsupervised Algorithms to Detect Zero-Day Attacks: Strategy and Application

    Tommaso Zoppi;Andrea Ceccarelli;Andrea Bondavalli

  • Automated dependability analysis of UML designs

    A. Bondavalli;I. Majzik;I. Mura

  • Automatic dependability analysis for supporting design decisions in UML

    A. Bondavalli;I. Majzik;I. Mura

  • Experimental evaluation of the QoS of failure detectors on wide area network

    L. Falai;A. Bondavalli

  • Hidden Markov Models as a Support for Diagnosis: Formalization of the Problem and Synthesis of the Solution

    A. Daidone;F. Di Giandomenico;S. Chiaradonna;A. Bondavalli

  • Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection

    Unknown

  • Effective fault treatment for improving the dependability of COTS and legacy-based applications

    A. Bondavalli;S. Chiaradonna;D. Cotroneo;L. Romano

  • Performance analysis of a consensus algorithm combining stochastic activity networks and measurements

    A. Coccoli;P. Urban;A. Bondavalli;A. Schiper

  • Continuous and Transparent User Identity Verification for Secure Internet Services

    Andrea Ceccarelli;Leonardo Montecchi;Francesco Brancati;Paolo Lollini

  • A Cost-Effective and Flexible Scheme for Software fault Tolerance

    Andrea Bondavalli;Felicita Di Giandomenico;J. Xu

  • Generic Upgradable Architecture for Real-Time Dependable Systems

    S. Chiaradonna;F. Di Giandomenico;A. Bondavalli

  • IEEE Transactions on Dependable and Secure Computing

    J. Arlat;A. Bondavalli;B.R.H.M. Haverkort;P. Verissimo

Frequent Co-Authors

Paulo Veríssimo
Paulo Veríssimo King Abdullah University of Science and Technology
Alessandro Fantechi
Alessandro Fantechi University of Florence
Miguel Correia
Miguel Correia Instituto Superior Técnico
Stefano Rinaldi
Stefano Rinaldi University of Brescia
Alessandra Flammini
Alessandra Flammini University of Brescia
Philippe Palanque
Philippe Palanque Paul Sabatier University
Paolo Ferrari
Paolo Ferrari University of Brescia
Kishor S. Trivedi
Kishor S. Trivedi Duke University
Nuno Neves
Nuno Neves University of Lisbon

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