What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer network
His primary areas of investigation include Computer security, Denial-of-service attack, The Internet, Cellular network and Computer network.
In the field of Computer security, his study on Malware and Encryption overlaps with subjects such as Architecture.
In general Encryption study, his work on Cryptosystem often relates to the realm of False positive paradox, thereby connecting several areas of interest.
In his study, which falls under the umbrella issue of Denial-of-service attack, Resource management is strongly linked to Cable modem.
His The Internet research integrates issues from Telecommunications, Radio access network, Mobile device and Public land mobile network.
His research in Computer network is mostly focused on Provisioning.
His most cited work include:
- Secure attribute-based systems (313 citations)
- CryptoLock (and Drop It): Stopping Ransomware Attacks on User Data (218 citations)
- (sp)iPhone: decoding vibrations from nearby keyboards using mobile phone accelerometers (217 citations)
What are the main themes of his work throughout his whole career to date?
Patrick Traynor mainly focuses on Computer security, Computer network, Cryptography, Internet privacy and The Internet.
The various areas that he examines in his Computer security study include Cellular network and Denial-of-service attack.
His Computer network research is multidisciplinary, incorporating perspectives in Adversary, Voice over IP and Mobile device.
His Cryptography research focuses on Protocol and how it relates to Outsourcing.
His Internet privacy study combines topics from a wide range of disciplines, such as Web application, Mobile payment and Network security.
Patrick Traynor works mostly in the field of The Internet, limiting it down to topics relating to Wireless and, in certain cases, Transmission.
He most often published in these fields:
- Computer security (50.34%)
- Computer network (22.82%)
- Cryptography (16.78%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer security (50.34%)
- Speech recognition (4.03%)
- Speaker recognition (4.03%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Computer security, Speech recognition, Speaker recognition, Protocol and Cryptography.
The Computer security study combines topics in areas such as Payment card, Payment and Deprecation.
His Speech recognition study also includes fields such as
- Adversarial machine learning which is related to area like Exploit,
- Biometrics which is related to area like Software deployment.
His Protocol research is classified as research in Computer network.
His study on Cryptography also encompasses disciplines like
- Oracle which intersects with area such as Distributed computing,
- Privacy preserving and Transmitter most often made with reference to Guard.
His study in the field of Domain Name System also crosses realms of Proof-of-work system.
Between 2017 and 2021, his most popular works were:
- IDENTITY AND CONTENT AUTHENTICATION FOR PHONE CALLS (39 citations)
- A Large Scale Investigation of Obfuscation Use in Google Play (33 citations)
- Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems (32 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Computer network
Computer security, Protocol, Payment, Authentication and Cryptography are his primary areas of study.
His studies in Computer security integrate themes in fields like Handshake and Payment card.
His Protocol research is included under the broader classification of Computer network.
Much of his study explores Computer network relationship to The Internet.
Patrick Traynor has researched Authentication in several fields, including Computer hardware, Microphone, Hash function, Usability and Voice command device.
His Cryptography research incorporates elements of Scheme, Instructions per second, Oracle and Guard.
This overview was generated by a machine learning system which analysed the scientist’s
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