What is he best known for?
The fields of study he is best known for:
- The Internet
- Computer network
- Artificial intelligence
Aniello Castiglione mainly investigates Distributed computing, Computer security, World Wide Web, Computer network and Cloud computing security.
His research integrates issues of Probabilistic encryption, Access control, Symmetric-key algorithm, Software and Key distribution in his study of Distributed computing.
Aniello Castiglione has researched Computer security in several fields, including Location awareness and Data center.
His work on The Internet, Metadata, Mobile cloud computing and Recommender system as part of general World Wide Web study is frequently connected to Homophily, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His biological study spans a wide range of topics, including Cryptography and Digital signature.
His study focuses on the intersection of Cloud computing security and fields such as Provisioning with connections in the field of Cloud testing and Utility computing.
His most cited work include:
- Network anomaly detection with the restricted Boltzmann machine (216 citations)
- Smart Cloud Storage Service Selection Based on Fuzzy Logic, Theory of Evidence and Game Theory (131 citations)
- Multi-layer cloud architectural model and ontology-based security service framework for IoT-based smart homes (89 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer security, Computer network, Distributed computing, The Internet and Software.
His Computer security study integrates concerns from other disciplines, such as Context, Cloud computing security and Internet privacy.
His Computer network research incorporates elements of Wireless and Key.
The Distributed computing study combines topics in areas such as Key management, Scheme, Scalability and Access control.
The various areas that Aniello Castiglione examines in his The Internet study include Computer forensics, Enhanced Data Rates for GSM Evolution and Mobile device.
His Digital forensics study incorporates themes from World Wide Web and Server.
He most often published in these fields:
- Computer security (36.28%)
- Computer network (21.40%)
- Distributed computing (17.67%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer security (36.28%)
- Artificial intelligence (7.44%)
- Biometrics (5.58%)
In recent papers he was focusing on the following fields of study:
Aniello Castiglione focuses on Computer security, Artificial intelligence, Biometrics, Encryption and Cryptography.
His Computer security research includes elements of Context, Web service, Smart city and Cyberspace, The Internet.
His studies examine the connections between Artificial intelligence and genetics, as well as such issues in Pattern recognition, with regards to Distortion.
His Encryption research is classified as research in Computer network.
His work carried out in the field of Computer network brings together such families of science as Internet traffic and Presentation.
His Cryptography study combines topics in areas such as Network security and Secure communication.
Between 2018 and 2021, his most popular works were:
- CNN-based anti-spoofing two-tier multi-factor authentication system (43 citations)
- CSP-E2: An abuse-free contract signing protocol with low-storage TTP for energy-efficient electronic transaction ecosystems (32 citations)
- Deep learning model for home automation and energy reduction in a smart home environment platform (23 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Computer network
- Artificial intelligence
His primary areas of study are Context, Sensor fusion, Data science, Computer network and Encryption.
Aniello Castiglione interconnects Smart environment, Computer security, Home automation, Deep learning and Architectural engineering in the investigation of issues within Context.
Aniello Castiglione usually deals with Computer security and limits it to topics linked to Data center and Scalability.
His studies in Data science integrate themes in fields like Variety, Digital forensics and Warning system.
In the subject of general Computer network, his work in Symmetric-key algorithm is often linked to Free contract, thereby combining diverse domains of study.
His Key management study, which is part of a larger body of work in Encryption, is frequently linked to Non-functional requirement, bridging the gap between disciplines.
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