Experimental Review of Neural-Based Approaches for Network Intrusion Management
Journal Article
Mauro, M. D., Galatro, G., & Liotta, A. (2020)
Experimental Review of Neural-Based Approaches for Network Intrusion Management. IEEE Transactions on Network and Service Management, 17(4), 2480-2495. https://doi.org/10.1109/tnsm.2020.3024225
The use of Machine Learning (ML) techniques in Intrusion Detection Systems (IDS) has taken a prominent role in the network security management field, due to the substantial nu...
Artificial neural networks training acceleration through network science strategies
Journal Article
Cavallaro, L., Bagdasar, O., De Meo, P., Fiumara, G., & Liotta, A. (2020)
Artificial neural networks training acceleration through network science strategies. Soft Computing, 24, https://doi.org/10.1007/s00500-020-05302-y
The development of deep learning has led to a dramatic increase in the number of applications of artificial intelligence. However, the training of deeper neural networks for s...
Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia
Journal Article
Cavallaro, L., Ficara, A., De Meo, P., Fiumara, G., Catanese, S., Bagdasar, O., …Liotta, A. (2020)
Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia. PLOS ONE, 15(8), https://doi.org/10.1371/journal.pone.0236476
Compared to other types of social networks, criminal networks present particularly hard challenges, due to their strong resilience to disruption, which poses severe hurdles to...
Evaluating group formation in virtual communities
Journal Article
Fortino, G., Liotta, A., Messina, F., Rosaci, D., & Sarne, G. M. L. (2020)
Evaluating group formation in virtual communities. IEEE/CAA Journal of Automatica Sinica, 7(4), 1003-1015. https://doi.org/10.1109/jas.2020.1003237
In this paper, we are interested in answering the following research question: “ Is it possible to form effective groups in virtual communities by exploiting trust information...
PmA: A real-world system for people mobility monitoring and analysis based on Wi-Fi probes
Journal Article
Uras, M., Cossu, R., Ferrara, E., Liotta, A., & Atzori, L. (2020)
PmA: A real-world system for people mobility monitoring and analysis based on Wi-Fi probes. Journal of Cleaner Production, 270, https://doi.org/10.1016/j.jclepro.2020.122084
A UN report states that in 2050, about 70% of the total world population will live in cities. This increases the complexity of the services that the local public administratio...
An Experimental Evaluation and Characterization of VoIP Over an LTE-A Network
Journal Article
Di Mauro, M., & Liotta, A. (2020)
An Experimental Evaluation and Characterization of VoIP Over an LTE-A Network. IEEE Transactions on Network and Service Management, 17(3), 1626-1639. https://doi.org/10.1109/tnsm.2020.2995505
Mobile telecommunications are converging towards all-IP solutions. This is the case of the Long Term Evolution (LTE) technology that, having no circuit-switched bearer to supp...
Improved Particle Swarm Optimization for Sea Surface Temperature Prediction
Journal Article
He, Q., Zha, C., Song, W., Hao, Z., Du, Y., Liotta, A., & Perra, C. (2020)
Improved Particle Swarm Optimization for Sea Surface Temperature Prediction. Energies, 13(6), https://doi.org/10.3390/en13061369
The Sea Surface Temperature (SST) is one of the key factors affecting ocean climate change. Hence, Sea Surface Temperature Prediction (SSTP) is of great significance to the st...
An Online Learning Approach to a Multi-player N-armed Functional Bandit
Conference Proceeding
O’Neill, S., Bagdasar, O., & Liotta, A. (2020)
An Online Learning Approach to a Multi-player N-armed Functional Bandit. In Numerical Computations: Theory and Algorithms. , (438-445). https://doi.org/10.1007/978-3-030-40616-5_41
Congestion games possess the property of emitting at least one pure Nash equilibrium and have a rich history of practical use in transport modelling. In this paper we approach...
Artificial Neural Networks Training Acceleration Through Network Science Strategies
Conference Proceeding
Cavallaro, L., Bagdasar, O., De Meo, P., Fiumara, G., & Liotta, A. (2020)
Artificial Neural Networks Training Acceleration Through Network Science Strategies. In Numerical Computations: Theory and Algorithms. , (330-336). https://doi.org/10.1007/978-3-030-40616-5_27
Deep Learning opened artificial intelligence to an unprecedented number of new applications. A critical success factor is the ability to train deeper neural networks, striving...
Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map
Journal Article
Song, W., Wang, Y., Huang, D., Liotta, A., & Perra, C. (2020)
Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map. IEEE Transactions on Broadcasting, 66(1), 153-169. https://doi.org/10.1109/tbc.2019.2960942
Underwater images often have severe quality degradation and distortion due to light absorption and scattering in the water medium. A hazy image formation model is widely used ...