What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
Antonio Nucci spends much of his time researching Computer network, Data mining, The Internet, Distributed computing and Routing.
His Computer network research includes themes of Computer security and Wireless ad hoc network.
His work deals with themes such as Flow, Machine learning, Network connectivity and Artificial intelligence, which intersect with Data mining.
His biological study spans a wide range of topics, including Scalability, Dynamic web page, Encryption and Personalization.
His Distributed computing research is multidisciplinary, incorporating perspectives in Network topology, Link and Network operations center.
His Routing research incorporates elements of Algorithm, Sequence, Interval and Data set.
His most cited work include:
- Traffic matrices: balancing measurements, inference and modeling (192 citations)
- The problem of synthetically generating IP traffic matrices: initial recommendations (150 citations)
- Measuring serendipity: connecting people, locations and interests in a mobile 3G network (150 citations)
What are the main themes of his work throughout his whole career to date?
Antonio Nucci focuses on Computer network, Distributed computing, Data mining, Network packet and The Internet.
His work in the fields of Computer network, such as Network topology, Logical topology, Node and Routing, intersects with other areas such as Wavelength-division multiplexing.
Antonio Nucci combines subjects such as NetFlow, IP address management and Tabu search with his study of Distributed computing.
In his study, which falls under the umbrella issue of Data mining, Speech recognition is strongly linked to Artificial intelligence.
His biological study focuses on Traffic classification.
His The Internet research is multidisciplinary, relying on both Computer security, Service provider, Scalability and Profiling.
He most often published in these fields:
- Computer network (46.89%)
- Distributed computing (19.77%)
- Data mining (18.08%)
What were the highlights of his more recent work (between 2012-2020)?
- Computer network (46.89%)
- Data mining (18.08%)
- Computer security (7.91%)
In recent papers he was focusing on the following fields of study:
Computer network, Data mining, Computer security, Traffic classification and Malware are his primary areas of study.
His Network management, Packet analyzer, Network traffic control, Network packet and Network monitoring study are his primary interests in Computer network.
His work on Analytics, Big data and Business intelligence as part of general Data mining research is often related to Speedup and Event, thus linking different fields of science.
His work in the fields of Computer security, such as Adversary and Encryption, overlaps with other areas such as Electronic mail, Association and Scale.
Antonio Nucci has included themes like Access network and Machine learning in his Traffic classification study.
His Malware study also includes fields such as
- Server which intersects with area such as Exploit and Cluster analysis,
- Support vector machine, which have a strong connection to PageRank, Web server, Algorithm design and Graph.
Between 2012 and 2020, his most popular works were:
- NetworkProfiler: Towards automatic fingerprinting of Android apps (126 citations)
- Detecting malicious endpoints using network connectivity and flow information (96 citations)
- Combining supervised and unsupervised learning for zero-day malware detection (64 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Artificial intelligence
His primary areas of study are Computer network, Data mining, Network management, Service provider and World Wide Web.
Antonio Nucci has researched Data mining in several fields, including Flow, Node, Network connectivity and Cluster analysis.
His studies deal with areas such as Traffic classification, Network traffic control and Floating car data as well as Network management.
The study incorporates disciplines such as Traffic generation model, Network monitoring, Scalability and Traffic shaping in addition to Traffic classification.
His Service provider study combines topics in areas such as Cellular network, Information privacy, Personally identifiable information and User profile.
Many of his research projects under World Wide Web are closely connected to Market place and Scripting language with Market place and Scripting language, tying the diverse disciplines of science together.
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