What is she best known for?
The fields of study she is best known for:
- Computer network
- The Internet
- Operating system
Her primary areas of investigation include Computer network, Computer security, Distributed computing, Dynamic Source Routing and Optimized Link State Routing Protocol.
Cristina Nita-Rotaru combines subjects such as Wireless network, Wireless mesh network and Byzantine fault tolerance, Quantum Byzantine agreement with her study of Computer network.
Her Computer security research incorporates elements of Adversarial system, Android and Communications protocol.
Her Distributed computing research includes elements of Scalability and Distributed System Security Architecture.
Her Dynamic Source Routing research is multidisciplinary, incorporating elements of Link-state routing protocol, Wireless Routing Protocol and Ad hoc wireless distribution service.
As part of the same scientific family, Cristina Nita-Rotaru usually focuses on Zone Routing Protocol, concentrating on Wireless ad hoc network and intersecting with Destination-Sequenced Distance Vector routing.
Her most cited work include:
- A survey of attack and defense techniques for reputation systems (748 citations)
- An on-demand secure routing protocol resilient to byzantine failures (472 citations)
- Using probabilistic generative models for ranking risks of Android apps (302 citations)
What are the main themes of her work throughout her whole career to date?
The scientist’s investigation covers issues in Computer network, Computer security, Distributed computing, Routing protocol and The Internet.
Cristina Nita-Rotaru has included themes like Wireless network and Wireless mesh network in her Computer network study.
Her Computer security study combines topics in areas such as Scalability and Peer-to-peer.
Her studies examine the connections between Distributed computing and genetics, as well as such issues in Protocol, with regards to Finite-state machine.
Her Dynamic Source Routing research is multidisciplinary, incorporating perspectives in Link-state routing protocol and Wireless Routing Protocol.
The study incorporates disciplines such as Ad hoc wireless distribution service and Optimized Link State Routing Protocol in addition to Wireless Routing Protocol.
She most often published in these fields:
- Computer network (51.08%)
- Computer security (33.33%)
- Distributed computing (33.33%)
What were the highlights of her more recent work (between 2016-2021)?
- Computer network (51.08%)
- Computer security (33.33%)
- Protocol (5.91%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Computer network, Computer security, Protocol, Fuzz testing and Finite-state machine.
Her work carried out in the field of Computer network brings together such families of science as Payment and Communication channel.
Her studies deal with areas such as Adversarial system and Software-defined networking as well as Computer security.
Cristina Nita-Rotaru interconnects Network topology and Leverage in the investigation of issues within Protocol.
Her studies in Finite-state machine integrate themes in fields like Cellular network, Distributed computing, Network packet, Source code and Implementation.
Her study in Distributed computing is interdisciplinary in nature, drawing from both Link-state routing protocol, Static routing and Triangular routing.
Between 2016 and 2021, her most popular works were:
- Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning (195 citations)
- Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks (83 citations)
- Taking a long look at QUIC: an approach for rigorous evaluation of rapidly evolving transport protocols (71 citations)
In her most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Cristina Nita-Rotaru spends much of her time researching Artificial intelligence, Machine learning, Computer network, Training set and Linear regression.
Her primary area of study in Artificial intelligence is in the field of Adversarial machine learning.
Her research in Adversarial machine learning intersects with topics in Class and Image.
Cristina Nita-Rotaru has researched Computer network in several fields, including Finite-state machine, Distributed computing and Source code.
Her Distributed computing study integrates concerns from other disciplines, such as Cellular network, QUIC, Mobile device and Network packet.
The various areas that Cristina Nita-Rotaru examines in her Training set study include Range, Data modeling and Robust regression.
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