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Roberto Baldoni
Researcher at Sapienza University of Rome
Publications - 286
Citations - 6227
Roberto Baldoni is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Complex event processing & Distributed algorithm. The author has an hindex of 38, co-authored 284 publications receiving 5444 citations. Previous affiliations of Roberto Baldoni include University of Texas at Dallas & University of Milan.
Papers
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Journal ArticleDOI
Survey of machine learning techniques for malware analysis
TL;DR: This survey aims at providing an overview on the way machine learning has been used so far in the context of malware analysis in Windows environments, i.e. for the analysis of Portable Executables.
Journal ArticleDOI
A Survey of Symbolic Execution Techniques
TL;DR: A survey of the main challenges, challenges, and solutions for symbolic execution can be found in this paper, where the authors provide an overview of main ideas, challenges and solutions developed in the area.
PBFT vs proof-of-authority: applying the CAP theorem to permissioned blockchain
Stefano De Angelis,Leonardo Aniello,Roberto Baldoni,Federico Lombardi,Andrea Margheri,Vladimiro Sassone +5 more
TL;DR: The analysis advocates that PoA for per- missioned blockchains, deployed over the Internet with Byzantine nodes, do not provide adequate consistency guarantees for scenarios where data integrity is essential, and claims that PBFT can fit better such scenarios, despite a limited loss in terms of performance.
Proceedings ArticleDOI
Adaptive online scheduling in storm
TL;DR: Two advanced generic schedulers for Storm are proposed that provide improved performance for a wide range of application topologies and can produce schedules that achieve significantly better performances compared to those produced by Storm's default scheduler.
Blockchain-Based Database to Ensure Data Integrity in Cloud Computing Environments.
Edoardo Gaetani,Leonardo Aniello,Roberto Baldoni,Federico Lombardi,Andrea Margheri,Vladimiro Sassone +5 more
TL;DR: The actual data integrity needs of cloud computing environments and the research questions to be tackled to adopt blockchain-based databases are delineated and the open research questions and the difficulties inherent in addressing them are detailed.