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264 results on '"Castiglione, Arcangelo"'

2. Fabric-GC: A Blockchain-based Gantt Chart System for Cross-organizational Project Management

Author

Li, Dun, Han, Dezhi, Xia, Benhui, Weng, Tien-Hsiung, Castiglione, Arcangelo, and Li, Kuan-Ching

Subjects
Computer Science - Computers and Society, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

Large-scale production is always associated with more and more development and interaction among peers, and many fields achieve higher economic benefits through project cooperation. However, project managers in the traditional centralized approach cannot rearrange their activities to cross-organizational project management. Thanks to its characteristics, the Blockchain can represent a valid solution to the problems mentioned above. In this article, we propose Fabric-GC, a Blockchain-based Gantt chart system. Fabric-GC enables to realize secure and effective cross-organizational cooperation for project management, providing access control to multiple parties for project visualization. Compared with other solutions, the proposed system is versatile, as it can be applied to project management in different fields and achieve effective and agile scheduling. Experimental results show that Fabric-GC achieves stable performance in large-scale request and processing distributed environments, where the data synchronization speed of the consortium chain reached four times faster than a public chain, achieving faster data consistency.

Published
2022

5. Improving Drone Security in Smart Cities via Lightweight Cryptography

Author

Pizzolante, Raffaele, Castiglione, Arcangelo, Palmieri, Francesco, Passaro, Angelo, Zaccagnino, Rocco, La Vecchia, Samanta, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Rocha, Ana Maria A. C., editor, Garau, Chiara, editor, Scorza, Francesco, editor, Karaca, Yeliz, editor, and Torre, Carmelo M., editor

Published
2023
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12. Machine Learning Technique for Fake News Detection Using Text-Based Word Vector Representation

Author

Gaurav, Akshat, Gupta, B. B., Hsu, Ching-Hsien, Castiglione, Arcangelo, Chui, Kwok Tai, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Mohaisen, David, editor, and Jin, Ruoming, editor

Published
2021
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13. Network Forensics of WhatsApp: A Practical Approach Based on Side-Channel Analysis

Author

De Luca Fiscone, Gianluca, Pizzolante, Raffaele, Castiglione, Arcangelo, Palmieri, Francesco, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Barolli, Leonard, editor, Amato, Flora, editor, Moscato, Francesco, editor, Enokido, Tomoya, editor, and Takizawa, Makoto, editor

Published
2020
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14. On the File Recovery in Systems Infected by Ransomware

Author

D’Arco, Raffaele, Pizzolante, Raffaele, Castiglione, Arcangelo, Palmieri, Francesco, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Barolli, Leonard, editor, Amato, Flora, editor, Moscato, Francesco, editor, Enokido, Tomoya, editor, and Takizawa, Makoto, editor

Published
2020
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15. A Novel Approach for Fake News Detection in Vehicular Ad-Hoc Network (VANET)

Author

Gaurav, Akshat, Gupta, B. B., Castiglione, Arcangelo, Psannis, Kostas, Choi, Chang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chellappan, Sriram, editor, Choo, Kim-Kwang Raymond, editor, and Phan, NhatHai, editor

Published
2020
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16. Vulsploit: A Module for Semi-automatic Exploitation of Vulnerabilities

Author

Castiglione, Arcangelo, Palmieri, Francesco, Petraglia, Mariangela, Pizzolante, Raffaele, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Casola, Valentina, editor, De Benedictis, Alessandra, editor, and Rak, Massimiliano, editor

Published
2020
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22. Guest Editorial: IoT‐based secure health monitoring and tracking through estimated computing

Author

Zaccagnino, Rocco, Castiglione, Arcangelo, Ogiela, Marek R., Pop, Florin, Meng, Weizhi, Zaccagnino, Rocco, Castiglione, Arcangelo, Ogiela, Marek R., Pop, Florin, and Meng, Weizhi

Abstract

Despite the substantial advancements in health technology, the COVID‐19 pandemic has underscored the imperative of enhancing the resilience and efficiency of healthcare systems.Within this context, the Internet of Things (IoT) paradigme merges as highly pertinent in healthcare services, facilitating enriched doctor‐patient interaction while concurrently ameliorating healthcare expenditures. Wearable devices provide patients with personalised access to health‐related data, empower physicians with more effective health monitoring capabilities, and enable hospitals to oversee medical equipment, personnel, and infection transmission dynamics. IoT devices, functioning as data aggregators, accumulate extensive datasets, furnishing valuable insights that augment decision‐making prowess within healthcare settings. However, the exponential proliferation of IoT devices poses formidable challenges in processing this voluminous and diverse data and extracting actionable insights. Amid the manifold benefits of IoT integration in healthcare services, several hurdles persist,including paramount data security and privacy concerns. Real‐time data transmission from IoT devices amplifies these concerns, compounding issues related to data overload and potential inaccuracies. This special issue endeavours to disseminate the latest advancements in IoT within healthcare services. The principal objective is to empower researchers to delve into key concepts conducive to IoT's practical, feasible,and robust integration in healthcare delivery, thereby ensuring expeditious, end‐to‐end, and dependable service provision to patients.

Published
2024

35. On the Relations Between Security Notions in Hierarchical Key Assignment Schemes for Dynamic Structures

Author

Castiglione, Arcangelo, De Santis, Alfredo, Masucci, Barbara, Palmieri, Francesco, Castiglione, Aniello, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Liu, Joseph K., editor, and Steinfeld, Ron, editor

Published
2016
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38. Fully Distributed Secure Video Surveillance Via Portable Device with User Awareness

Author

Castiglione, Arcangelo, D’Ambrosio, Ciriaco, De Santis, Alfredo, Palmieri, Francesco, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Cuzzocrea, Alfredo, editor, Kittl, Christian, editor, Simos, Dimitris E., editor, Weippl, Edgar, editor, and Xu, Lida, editor

Published
2013
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39. A Secure Distributed Video Surveillance System Based on Portable Devices

Author

Albano, Pietro, Bruno, Andrea, Carpentieri, Bruno, Castiglione, Aniello, Castiglione, Arcangelo, Palmieri, Francesco, Pizzolante, Raffaele, You, Ilsun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Quirchmayr, Gerald, editor, Basl, Josef, editor, You, Ilsun, editor, Xu, Lida, editor, and Weippl, Edgar, editor

Published
2012
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47. Fabric-GC: A Blockchain-based Gantt Chart System for Cross-organizational Project Management.

Author

Dun Li, Dezhi Han, Benhui Xia, Tien-Hsiung Weng, Castiglione, Arcangelo, and Kuan-Ching Li

Abstract

Large-scale production is always associated with more and more development and interaction among peers, and many fields achieve higher economic benefits through project cooperation. However, project managers in the traditional centralized approach cannot rearrange their activities to cross-organizational project management. Thanks to its characteristics, the Blockchain can represent a valid solution to the problems mentioned above. In this article, we propose Fabric-GC, a Blockchain-based Gantt chart system. Fabric-GC enables to realize secure and effective cross-organizational cooperation for project management, providing access control to multiple parties for project visualization. Compared with other solutions, the proposed system is versatile, as it can be applied to project management in different fields and achieve effective and agile scheduling. Experimental results show that Fabric-GC achieves stable performance in large-scale request and processing distributed environments, where the data synchronization speed of the consortium chain reached four times faster than a public chain, achieving faster data consistency. [ABSTRACT FROM AUTHOR]

Published
2022
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49. Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey

Author

Li, Dun, Han, Dezhi, Weng, Tien-Hsiung, Zheng, Zibin, Li, Hongzhi, Liu, Han, Castiglione, Arcangelo, and Li, Kuan-Ching

Subjects
Blockchain, Smart Contract, Scope (project management), Smart contract, business.industry, Computer science, Deep learning, Application of Soft Computing, Federated learning, Computational intelligence, Machine learning, computer.software_genre, Incentive mechanism, Theoretical Computer Science, Industrial Applications, Upload, Incentive, Geometry and Topology, Artificial intelligence, business, computer, Software
Abstract

Federated learning (FL) is a promising decentralized deep learning technology, which allows users to update models cooperatively without sharing their data. FL is reshaping existing industry paradigms for mathematical modeling and analysis, enabling an increasing number of industries to build privacy-preserving, secure distributed machine learning models. However, the inherent characteristics of FL have led to problems such as privacy protection, communication cost, systems heterogeneity, and unreliability model upload in actual operation. Interestingly, the integration with Blockchain technology provides an opportunity to further improve the FL security and performance, besides increasing its scope of applications. Therefore, we denote this integration of Blockchain and FL as the Blockchain-based federated learning (BCFL) framework. This paper introduces an in-depth survey of BCFL and discusses the insights of such a new paradigm. In particular, we first briefly introduce the FL technology and discuss the challenges faced by such technology. Then, we summarize the Blockchain ecosystem. Next, we highlight the structural design and platform of BCFL. Furthermore, we present the attempts ins improving FL performance with Blockchain and several combined applications of incentive mechanisms in FL. Finally, we summarize the industrial application scenarios of BCFL.

Published
2021

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