What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Computer network
Richard P. Lippmann spends much of his time researching Artificial intelligence, Intrusion detection system, Artificial neural network, False alarm and Network security.
His work in the fields of Speech processing overlaps with other areas such as Speech shadowing.
His Intrusion detection system study deals with Unix intersecting with Attack model, Windows NT and Host.
Artificial neural network is a subfield of Machine learning that Richard P. Lippmann studies.
His research integrates issues of Classifier, Cascading classifiers, Very-large-scale integration and Massively parallel in his study of Machine learning.
His Massively parallel study combines topics from a wide range of disciplines, such as Statistical classification, Concurrent computing, Madaline and Cluster analysis.
His most cited work include:
- An introduction to computing with neural nets (7316 citations)
- Automated generation and analysis of attack graphs (1078 citations)
- Neural Network Classifiers Estimate Bayesian a posteriori Probabilities. (872 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Artificial neural network, Speech recognition, Pattern recognition and Computer security.
The various areas that Richard P. Lippmann examines in his Artificial intelligence study include Machine learning and Natural language processing.
His work deals with themes such as Training set and Cluster analysis, which intersect with Artificial neural network.
His studies deal with areas such as Front and back ends and Word as well as Speech recognition.
Richard P. Lippmann has included themes like Backpropagation, Posterior probability, Early stopping and Radial basis function in his Pattern recognition study.
His Computer security research incorporates themes from Unix and Host.
He most often published in these fields:
- Artificial intelligence (38.30%)
- Artificial neural network (34.04%)
- Speech recognition (32.98%)
What were the highlights of his more recent work (between 2005-2020)?
- Computer security (22.34%)
- Network security (14.89%)
- Computer network (9.57%)
In recent papers he was focusing on the following fields of study:
His main research concerns Computer security, Network security, Computer network, Distributed computing and Intrusion detection system.
Richard P. Lippmann has researched Computer security in several fields, including Network simulation and Internet hosting service.
He usually deals with Network security and limits it to topics linked to Anomaly detection and Web server, Construct and Overhead.
He focuses mostly in the field of Computer network, narrowing it down to matters related to Vulnerability and, in some cases, Risk assessment and Node.
His Distributed computing research incorporates elements of Visualization, Theoretical computer science, Reachability and State.
His Intrusion detection system research is classified as research in Artificial intelligence.
Between 2005 and 2020, his most popular works were:
- Practical Attack Graph Generation for Network Defense (311 citations)
- Modeling Modern Network Attacks and Countermeasures Using Attack Graphs (178 citations)
- Validating and Restoring Defense in Depth Using Attack Graphs (157 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Computer network
Richard P. Lippmann mostly deals with Reachability, Network security, Computer security, Computer network and Distributed computing.
Reachability is a subfield of Theoretical computer science that he investigates.
His work in Network security covers topics such as Exploit which are related to areas like Vulnerability, Attack tree and Server.
In the field of Computer security, his study on Enterprise private network, Authorization and Attack graph overlaps with subjects such as Telecommunication security and SCADA.
His study in Host and Firewall are all subfields of Computer network.
His Distributed computing research is multidisciplinary, incorporating elements of Visualization and Source data.
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