Outputs (119)

Experimental Review of Neural-Based Approaches for Network Intrusion Management (2020)
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 number of sophisticated attacks that often pass undetected through classic ID... Read More about Experimental Review of Neural-Based Approaches for Network Intrusion Management.

Artificial neural networks training acceleration through network science strategies (2020)
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 stable and accurate models translates into artificial neural networks (ANNs)... Read More about Artificial neural networks training acceleration through network science strategies.

Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia (2020)
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), Article e0236476. 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 Law-Enforcement Agencies (LEAs). Herein, we borrow methods and tools from... Read More about Disrupting resilient criminal networks through data analysis: The case of Sicilian Mafia.

Evaluating group formation in virtual communities (2020)
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 without significant overhead, similarly to real user communities? ” In ord... Read More about Evaluating group formation in virtual communities.

PmA: A real-world system for people mobility monitoring and analysis based on Wi-Fi probes (2020)
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, Article 122084. 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 administrations have to provide the citizens with to keep an acceptable level of quality... Read More about PmA: A real-world system for people mobility monitoring and analysis based on Wi-Fi probes.

An Experimental Evaluation and Characterization of VoIP Over an LTE-A Network (2020)
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 support voice traffic, needs a dedicated VoIP infrastructure, which often relie... Read More about An Experimental Evaluation and Characterization of VoIP Over an LTE-A Network.

Improved Particle Swarm Optimization for Sea Surface Temperature Prediction (2020)
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), Article 1369. 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 study of navigation and meteorology. However, SST data is well-known to suffe... Read More about Improved Particle Swarm Optimization for Sea Surface Temperature Prediction.

Artificial Neural Networks Training Acceleration Through Network Science Strategies (2020)
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 for stable and accurate models. This translates into Artificial Neural Net... Read More about Artificial Neural Networks Training Acceleration Through Network Science Strategies.

An Online Learning Approach to a Multi-player N-armed Functional Bandit (2020)
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 the problem of modelling equilibrium within congestion games using a decen... Read More about An Online Learning Approach to a Multi-player N-armed Functional Bandit.

Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map (2020)
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 to restore the image quality. It depends on two optical parameters: the bac... Read More about Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map.