Andresini Giuseppina

Research Fellow
Knowledge Discovery & Data Engineering research group
Dept. of Computer Science, University of Bari Aldo Moro.

Research Interest:
Data Mining and Knowledge Discovery, Cybersecurity,
Intrusion detection, Big Data Analytics, Deep learning

Contacts

  • Address:
  • Dept. of Computer Science
    University of Bari Aldo Moro
    Via Orabona 4, 70126 Bari - Italy
  • E-mail: giuseppina.andresini_at_uniba_dot_it
    (replace '_at_' with '@' and '_dot_' with '.')
  • Phone: +39-080-5442203

Curriculum Vitae

  • 2021-Present

    Dept. of Computer Science, University of Study of Bari

    Reaserch Fellow

  • 2018-2021

    Dept. of Computer Science, University of Study of Bari

    PhD Student in Computer Science and Math

    Supervisors: Prof.Annalisa Appice, Dr. Corrado Loglisci

  • 2014-2018

    Dept. of Computer Science, University of Study of Bari

    MSc in Computer Science (curriculum knowledge engineering and machine intelligence)

    Master’s Degree Full Marks with Honors (110/110 cum Laude)

    Thesis: Analysis of complex data evolution: discovery and characterization of macroscopic changes
    Supervisor: Prof. Donato Malerba, Dr. Corrado Loglisci

  • 2010-2013

    Dept. of Computer Science, University of Study of Bari

    BSc in Computer Science and Technologies for Software Production

    Thesis: Sviluppo di un'applicazione per il consumo di Linked Data: Il Sistema MEG
    Supervisor: Prof. Nicola Fanizzi

Pubblications

International Journal

2021

Giuseppina Andresini, Annalisa Appice, Daniele Iaia, Donato Malerba, Nicolò Taggio, Antonello Aiello :
Leveraging autoencoders in change vector analysis of optical satellite images
 in Journal of Intelligent Information Systems , 2021.

2021

Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Autoencoder-based deep metric learning for network intrusion detection
 in Information Sciences, Volume 569,2021.

2021

Giuseppina Andresini, Annalisa Appice, Luca De Rose, Donato Malerba:
GAN augmentation to deal with imbalance in imaging-based intrusion detection
 in Future Generation Computer Systems, Volume 123,2021.

2021

Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Nearest cluster-based intrusion detection through convolutional neural networks
 in Knowledge-Based Systems, 2021.

2020

Annalisa Appice, Giuseppina Andresini, Donato Malerba:
Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection
 in Journal of Intelligent Information Systems, 2020.

2020

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Multi-Channel Deep Feature Learning for Intrusion Detection
 in IEEE Access, vol. 8, pp. 53346-53359, 2020.

Part of Book

2021

Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba:
Improving Cyber-Threat Detection by Moving the Boundary Around the Normal Samples
 in Machine Intelligence and Big Data Analytics for Cybersecurity Application, Part of the Studies in Computational Intelligence book series, pp. 105-127, 2021.

2020

Giuseppina Andresini, Annalisa Appice, Donato Malerba:
Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification
 in Complex Pattern Mining - New Challenges, Methods and Applications vol. 880, pp. 173--187, 2020.

International Conferences

2021

Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro:
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection
 AISec '21: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, pp. 111-122.

2021

Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba:
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems
 DS2021 International Conference on Discovery Science, pp. 385-400.

2021

Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba:
A Network Intrusion Detection System for Concept Drifting Network Traffic Data
 DS2021 International Conference on Discovery Science, pp. 111-121.

2021

Giuseppina Andresini, Annalisa Appice, Donato Malerba:
A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper)
 DS2021 International Conference on Discovery Science, pp. 111-121.

2019

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba:
Exploiting the Auto-Encoder Residual Error for Intrusion Detection
 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), Stockholm, Sweden, 2019, pp. 281-290.

2018

Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba:
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories.
 AI*IA 2018: 123-135