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2019

  • Casola, V., Benedictis, A. D., Rak, M. & Villano, U. (2019). A proposal of a cloud-oriented security and performance simulator provided as-a-service. Advances in Intelligent Systems and Computing, 772, 1002-1011. [More] [Digital version]
  • Redavid, D., Malerba, D., Di Martino, B., Esposito, A., Ardagna, C. A., Bellandi, V. et al. (2019). Semantic support for model based big data analytics-as-a-service (MBDAaaS). Advances in Intelligent Systems and Computing, 772, 1012-1021. [More] [Digital version]
  • Amato, F., Di Martino, B., Marulli, F. & Moscato, F. (2019). A federation of cognitive cloud services for trusting data sources. Advances in Intelligent Systems and Computing, 772, 1022-1031. [More] [Digital version]

2018

  • Venticinque, S., Aversa, R. & Di Martino, B (2018). Integrating e-mobility in smart energy neighborhoods. In Proceeedings of 32nd EnviroInfo conference 2018- Environmental Informatics Techniques and Trends, pages 277-280. Shaker Verlag. [More] [Digital version]
  • Esposito, C., Castiglione, A., Palmieri, F. & Ficco, M. (2018). Building a network embedded FEC protocol by using game theory. Information Sciences, 433-434, 365-380. [More] [Digital version]
  • Ficco, M., Pietrantuono, R. & Russo, S. (2018). Aging-related performance anomalies in the apache storm stream processing system. Future Generation Computer Systems, 86, 975-994. [More] [Digital version]
  • Castiglione, A., Pop, F., Ficco, M. & Palmieri, F. (2018). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11161 LNCS, V. [More] [Digital version]
  • Esposito, C., Castiglione, A., Palmieri, F., Ficco, M., Dobre, C., Iordache, G. V. et al. (2018). Event-based sensor data exchange and fusion in the Internet of Things environments. Journal of Parallel and Distributed Computing, 118, 328-343. [More] [Digital version]
  • Esposito, C., Ficco, M., Castiglione, A., Palmieri, F. & Lu, H. (2018). Loss-tolerant event communications within industrial internet of things by leveraging on game theoretic intelligence. IEEE Internet of Things Journal, 5(3), 1679-1689. [More] [Digital version]
  • Esposito, C., Ficco, M., Castiglione, A., Palmieri, F. & Santis, A. D. (2018). Distributed Group Key Management for Event Notification Confidentiality among Sensors. IEEE Transactions on Dependable and Secure Computing, . [More] [Digital version]
  • Ficco, M., Esposito, C., Palmieri, F. & Castiglione, A. (2018). A coral-reefs and Game Theory-based approach for optimizing elastic cloud resource allocation. Future Generation Computer Systems, 78, 343-352. [More] [Digital version]
  • Ficco, M., Pietrantuono, R. & Russo, S. (2018). Hybrid Simulation and Test of Vessel Traffic Systems on the Cloud. IEEE Access, 6, 47273-47287. [More] [Digital version]
  • Kozik, R., Choraś, M., Ficco, M. & Palmieri, F. (2018). A scalable distributed machine learning approach for attack detection in edge computing environments. Journal of Parallel and Distributed Computing, 119, 18-26. [More] [Digital version]
  • Casola, V., Benedictis, A. D., Rak, M. & Villano, U (2018). Towards automated penetration testing for cloud applications. In, pages 30-35. [More] [Digital version]
  • Casola, V., Benedictis, A. D., Rak, M. & Villano, U. (2018). Security-by-design in multi-cloud applications: An optimization approach. Information Sciences, 454-455, 344-362. [More] [Digital version]
  • Casola, V., Benedictis, A. D., Rak, M. & Villano, U (2018). A security SLA-driven moving target defense framework to secure cloud applications. In, pages 48-56. [More] [Digital version]
  • Casola, V., Benedictis, A. D., Modic, J., Rak, M. & Villano, U. (2018). Per-service security SLAs for cloud security management: Model and implementation. International Journal of Grid and Utility Computing, 9(2), 128-138. [More] [Digital version]
  • Zhu, X., Yang, L. T., Jiang, H., Thulasiraman, P. & Di Martino, B. (2018). Optimization in distributed information systems. Journal of Computational Science, 26, 305-306. [More] [Digital version]
  • Georgalas, N., Di Martino, B., Yang, P. & Qiu, T (2018). Message from the iThings-2017 Program Chairs. In, pages xxxv. [More] [Digital version]
  • Ardagna, C. A., Bellandi, V., Ceravolo, P., Damiani, E., Di Martino, B., D'Angelo, S. et al (2018). A Fast and Incremental Development Life Cycle for Data Analytics as a Service. In, pages 174-181. [More] [Digital version]
  • Attardi, G., Di Martino, B., Esposito, A. & Mastroianni, M (2018). Using federated cloud platform to implement academia services for research and administration. In, pages 413-418. [More] [Digital version]
  • Bandirali, C., Lodi, S., Moro, G., Pagliarani, A., Sartori, C., D'Angelo, S. et al (2018). Parallel primitives for vendor-agnostic implementation of big data mining algorithms. In, pages 396-401. [More] [Digital version]
  • Di Martino, B., D'Angelo, S., Esposito, A., Cappuzzo, R. & Oliveira, A. S (2018). ROCK algorithm parallelization with TOREADOR primitives. In, pages 402-407. [More] [Digital version]
  • Martino, B. D. & Esposito, A. (2018). A tool for mapping and editing of cloud patterns: The semantic cloud patterns editor. Studies in Informatics and Control, 27(1), 117-126. [More] [Digital version]
  • Wang, G., Shen, X. S., Xiao, Y. & Di Martino, B (2018). Welcome message from the IUCC 2017 general chairs. In, pages xxx. [More] [Digital version]
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