Computer network, Computer security, Quality of service, Distributed computing and The Internet are his primary areas of study. Thomas M. Chen incorporates Computer network and Application layer in his research. His work in the fields of Malware and Stuxnet overlaps with other areas such as Critical threshold.
Thomas M. Chen interconnects Ensemble learning and Internet privacy in the investigation of issues within Malware. His Quality of service research is multidisciplinary, incorporating elements of Virtual circuit, Dedicated short-range communications, Broadband, Asynchronous Transfer Mode and IEEE 802.11. His Distributed computing research incorporates themes from Electric power transmission and Cyber-physical system.
Thomas M. Chen mainly focuses on Electronic engineering, Computer security, CMOS, Computer network and Electrical engineering. His work carried out in the field of Electronic engineering brings together such families of science as Electronic circuit, Amplifier and Integrated circuit. His Malware study, which is part of a larger body of work in Computer security, is frequently linked to Collusion, bridging the gap between disciplines.
His CMOS research includes themes of Integrated circuit design and Photodetector. His work deals with themes such as Real-time computing and Distributed computing, which intersect with Computer network.
Thomas M. Chen focuses on Computer security, Collusion, Android, Malware and Electrical engineering. The Computer security study combines topics in areas such as Software and Mobile computing. Thomas M. Chen performs integrative study on Malware and Covert in his works.
His Electrical engineering study frequently involves adjacent topics like Electronic engineering. His biological study spans a wide range of topics, including Single sign-on and OpenID Connect. The various areas that Thomas M. Chen examines in his Phase-locked loop study include Radio frequency power transmission, Amplifier, Phase-shift keying, Transmitter power output and Process variation.
His primary areas of investigation include Computer security, Malware, Collusion, Authentication and OpenID Connect. His biological study focuses on Access control. His studies in Malware integrate themes in fields like Signature and Mobile device.
The concepts of his Authentication study are interwoven with issues in Biometrics, Human–computer interaction, Wearable technology, Signal processing and Popularity. In his study, Cross-site request forgery and Server is inextricably linked to Login, which falls within the broad field of OpenID Connect. His Encryption study contributes to a more complete understanding of Computer network.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Lessons from Stuxnet
T M Chen;S Abu-Nimeh.
IEEE Computer (2011)
Petri Net Modeling of Cyber-Physical Attacks on Smart Grid
T. M. Chen;Juan Carlos Sanchez-Aarnoutse;John Buford.
IEEE Transactions on Smart Grid (2011)
Method and apparatus for performance monitoring in electronic communications networks
Thomas M. Chen;Stephen S. Liu.
Comparison of adaptive body bias (ABB) and adaptive supply voltage (ASV) for improving delay and leakage under the presence of process variation
T. Chen;S. Naffziger.
IEEE Transactions on Very Large Scale Integration Systems (2003)
Dempster-Shafer theory for intrusion detection in ad hoc networks
T.M. Chen;V. Venkataramanan.
IEEE Internet Computing (2005)
Stuxnet, the real start of cyber warfare? [Editor's Note]
Thomas M. Chen.
IEEE Network (2010)
PIndroid: A novel Android malware detection system using ensemble learning methods
Fauzia Idrees;Muttukrishnan Rajarajan;Mauro Conti;Thomas M. Chen.
Computers & Security (2017)
The available bit rate service for data in ATM networks
T.M. Chen;S.S. Liu;V.K. Samalam.
IEEE Communications Magazine (1996)
Reliable services in MPLS
T.M. Chen;T.H. Oh.
IEEE Communications Magazine (1999)
ATM Switching Systems
Thomas M. Chen;Stephen S. Liu.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: