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Corrado Aaron Visaggio

Corrado Aaron Visaggio

D-Index & Metrics

Computer Science

D-Index
37
Citations
5392
World Ranking
10825
National Ranking
341

Overview

Corrado Aaron Visaggio is affiliated with the University of Sannio in Italy. Their research primarily spans computer science, with a focus on various subfields including information systems, software, signal processing, artificial intelligence, and computer networks and communications.

The main topics of Corrado Aaron Visaggio's work include:

  • Advanced Malware Detection Techniques
  • Software Reliability and Analysis Research
  • Safety Systems Engineering in Autonomy
  • Risk and Safety Analysis
  • Network Security and Intrusion Detection
  • Software Engineering Research
  • Blockchain Technology Applications and Security

Recent publications highlight their involvement in several key areas of research:

  • "A systematic literature review of blockchain and smart contract development: Techniques, tools, and open challenges," 2020, Journal of Systems and Software
  • "Malware detection employed by visualization and deep neural network," 2021, Computers & Security
  • "A systematic literature review of IoT time series anomaly detection solutions," 2022, Future Generation Computer Systems
  • "Profiling gas consumption in solidity smart contracts," 2021, Journal of Systems and Software
  • "Automated Identification and Qualitative Characterization of Safety Concerns Reported in UAV Software Platforms," 2022, ACM Transactions on Software Engineering and Methodology

Corrado Aaron Visaggio collaborates regularly with various researchers. Frequent co-authors include:

  • Andrea Di Sorbo
  • Gerardo Canfora
  • Fiorella Zampetti
  • Massimiliano Di Penta
  • Sebastiano Panichella

The scientist's work has been published extensively in notable venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Journal of Systems and Software
  • Computers & Security

In addition to articles, Corrado Aaron Visaggio has contributed to book publications, with a notable work titled Artificial Intelligence for Cybersecurity published by Springer Nature in 2022.

Best Publications

  • How can i improve my app? Classifying user reviews for software maintenance and evolution

    Sebastiano Panichella;Andrea Di Sorbo;Emitza Guzman;Corrado A. Visaggio

  • A comparison of static, dynamic, and hybrid analysis for malware detection

    Anusha Damodaran;Fabio Di Troia;Corrado Aaron Visaggio;Thomas H. Austin

  • What would users change in my app? summarizing app reviews for recommending software changes

    Andrea Di Sorbo;Sebastiano Panichella;Carol V. Alexandru;Junji Shimagaki

  • A systematic literature review of blockchain and smart contract development: Techniques, tools, and open challenges

    Anna Vacca;Andrea Di Sorbo;Corrado Aaron Visaggio;Gerardo Canfora

  • Detecting Android malware using sequences of system calls

    Gerardo Canfora;Eric Medvet;Francesco Mercaldo;Corrado Aaron Visaggio

  • Effectiveness of Opcode ngrams for Detection of Multi Family Android Malware

    Gerardo Canfora;Andrea De Lorenzo;Eric Medvet;Francesco Mercaldo

  • Ransomware Steals Your Phone. Formal Methods Rescue It

    Francesco Mercaldo;Vittoria Nardone;Antonella Santone;Corrado Aaron Visaggio

  • ARdoc: app reviews development oriented classifier

    Sebastiano Panichella;Andrea Di Sorbo;Emitza Guzman;Corrado A. Visaggio

  • Evaluating advantages of test driven development: a controlled experiment with professionals

    Gerardo Canfora;Aniello Cimitile;Felix Garcia;Mario Piattini

  • R-PackDroid: API package-based characterization and detection of mobile ransomware

    Davide Maiorca;Francesco Mercaldo;Giorgio Giacinto;Corrado Aaron Visaggio

  • A family of experiments to validate metrics for software process models

    G. Canfora;F. García;M. Piattini;F. Ruiz

  • Development Emails Content Analyzer: Intention Mining in Developer Discussions (T)

    Andrea Di Sorbo;Sebastiano Panichella;Corrado A. Visaggio;Massimiliano Di Penta

  • Evaluating performances of pair designing in industry

    Gerardo Canfora;Aniello Cimitile;Felix Garcia;Mario Piattini

  • A heuristic-based approach for detecting SQL-injection vulnerabilities in web applications

    Angelo Ciampa;Corrado Aaron Visaggio;Massimiliano Di Penta

  • A Classifier of Malicious Android Applications

    Gerardo Canfora;Francesco Mercaldo;Corrado Aaron Visaggio

  • An HMM and structural entropy based detector for Android malware

    Gerardo Canfora;Francesco Mercaldo;Corrado Aaron Visaggio

  • On the effectiveness of system API-related information for Android ransomware detection

    Michele Scalas;Davide Maiorca;Francesco Mercaldo;Corrado Aaron Visaggio

  • SURF: summarizer of user reviews feedback

    Andrea Di Sorbo;Sebastiano Panichella;Carol V. Alexandru;Corrado A. Visaggio

  • Talos: no more ransomware victims with formal methods

    Aniello Cimitile;Francesco Mercaldo;Vittoria Nardone;Antonella Santone

  • Support vector machines and malware detection

    Tanuvir Singh;Fabio Di Troia;Visaggio Aaron Corrado;Thomas H. Austin

  • A heuristic-based approach for detecting SQL-injection vulnerabilities in Web applications (Position paper)

    Angelo Ciampa;Corrado Aaron Visaggio;Massimiliano Di Penta

Frequent Co-Authors

Gerardo Canfora
Gerardo Canfora University of Sannio
Francesco Mercaldo
Francesco Mercaldo University of Molise
Félix García
Félix García University of Castilla-La Mancha
Mario Piattini
Mario Piattini University of Castilla-La Mancha
Sebastiano Panichella
Sebastiano Panichella University of Zurich
Fabio Martinelli
Fabio Martinelli National Research Council (CNR)
Antonella Santone
Antonella Santone University of Molise
Harald C. Gall
Harald C. Gall University of Zurich
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Mark Stamp
Mark Stamp San Jose State University

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