What is he best known for?
The fields of study he is best known for:
- Computer network
- Statistics
- The Internet
Matthew Roughan mainly focuses on Computer network, Traffic generation model, Internet traffic, Traffic engineering and Internet protocol suite.
His study in The Internet extends to Computer network with its themes.
His research integrates issues of Network traffic control, Distribution, Theoretical computer science and Topology in his study of Traffic generation model.
He interconnects Anomaly detection, Data mining, Missing data, Matrix decomposition and Compressed sensing in the investigation of issues within Internet traffic.
His studies deal with areas such as Simple Network Management Protocol and Mathematical optimization as well as Traffic engineering.
In his research, Burstiness is intimately related to Distributed computing, which falls under the overarching field of Internet protocol suite.
His most cited work include:
- The Internet Topology Zoo (750 citations)
- Fast accurate computation of large-scale IP traffic matrices from link loads (499 citations)
- Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification (442 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Computer network, The Internet, Data mining, Distributed computing and Computer security.
His is involved in several facets of Computer network study, as is seen by his studies on Traffic engineering, Simple Network Management Protocol, Routing, Network topology and Network traffic control.
In his study, Internet protocol suite, Mathematical optimization and Internet traffic is strongly linked to Traffic generation model, which falls under the umbrella field of Simple Network Management Protocol.
In his study, Complex network is inextricably linked to Data science, which falls within the broad field of The Internet.
His work on Anomaly detection as part of general Data mining research is often related to Set, thus linking different fields of science.
His research investigates the connection with Distributed computing and areas like Router which intersect with concerns in Border Gateway Protocol.
He most often published in these fields:
- Computer network (23.50%)
- The Internet (15.85%)
- Data mining (14.75%)
What were the highlights of his more recent work (between 2015-2021)?
- Computer security (13.11%)
- Social network (3.28%)
- Data mining (14.75%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Computer security, Social network, Data mining, Information cascade and Distributed computing.
In his research on the topic of Computer security, Automation, Network topology and Telecommunications network is strongly related with SCADA.
His biological study spans a wide range of topics, including Entropy, Traffic engineering and Statistical model.
His Social network study incorporates themes from Field, Machine learning and Artificial intelligence.
His Data mining research includes themes of Dissemination, Scalability, Enhanced Data Rates for GSM Evolution and Sample.
His studies in Distributed computing integrate themes in fields like Consistency and Traffic trace.
Between 2015 and 2021, his most popular works were:
- Clear as MUD: Generating, Validating and Applying IoT Behavioral Profiles (31 citations)
- Case Studies of SCADA Firewall Configurations and the Implications for Best Practices (15 citations)
- The Effect of Common Vulnerability Scoring System Metrics on Vulnerability Exploit Delay (12 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Statistics
- The Internet
His primary scientific interests are in Computer security, Formal specification, Critical infrastructure, Operating environment and Algorithm.
His Computer security research integrates issues from Network topology and SCADA.
Matthew Roughan merges Network topology with Best practice in his study.
His Formal specification research incorporates elements of Network behavior, Traffic trace and Acceptance testing.
His work deals with themes such as Consistency and Distributed computing, which intersect with Critical infrastructure.
His Approximation algorithm study in the realm of Algorithm connects with subjects such as Potts model.
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