What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Computer network
Manuel Costa mostly deals with Overhead, Computer security, Software, Exploit and Static analysis.
His studies in Overhead integrate themes in fields like Object and Backward compatibility.
He combines subjects such as Blocking, Block, Host and Containment with his study of Computer security.
Exploit and The Internet are frequently intertwined in his study.
His Static analysis research incorporates elements of Graph, Computer engineering and Memory corruption.
His Operating system study integrates concerns from other disciplines, such as Data integrity, Correctness and Code.
His most cited work include:
- Vigilante: end-to-end containment of internet worms (641 citations)
- VC3: Trustworthy Data Analytics in the Cloud Using SGX (408 citations)
- PIC: practical Internet coordinates for distance estimation (315 citations)
What are the main themes of his work throughout his whole career to date?
Computer network, Computer security, Distributed computing, Exploit and Code are his primary areas of study.
The concepts of his Computer network study are interwoven with issues in Decoding methods and State.
His Computer security research incorporates themes from Software, The Internet, Dataflow and Containment.
His The Internet study combines topics in areas such as End-to-end principle, Host and Source code.
His work in Distributed computing covers topics such as Overlay which are related to areas like Flooding.
His Exploit course of study focuses on Static analysis and Memory corruption, Graph and Computer engineering.
He most often published in these fields:
- Computer network (21.69%)
- Computer security (19.28%)
- Distributed computing (15.66%)
What were the highlights of his more recent work (between 2014-2021)?
- Code (13.25%)
- Computer security (19.28%)
- Computer network (21.69%)
In recent papers he was focusing on the following fields of study:
Manuel Costa spends much of his time researching Code, Computer security, Computer network, Confidentiality and Cloud computing.
The study incorporates disciplines such as Machine learning, Data integrity, Secure multi-party computation and Operating system in addition to Code.
His Data integrity research includes themes of Overhead, Protocol, Application programming interface and Component.
His Computer security research is multidisciplinary, relying on both Data center and Data processing.
He works on Computer network which deals in particular with Encryption.
His studies deal with areas such as Synchronization, Transaction log, Server and Cryptography as well as Cloud computing.
Between 2014 and 2021, his most popular works were:
- VC3: Trustworthy Data Analytics in the Cloud Using SGX (408 citations)
- Oblivious multi-party machine learning on trusted processors (236 citations)
- EnclaveDB: A Secure Database Using SGX (102 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Computer network
Manuel Costa focuses on Cloud computing, Code, Encryption, Distributed computing and Embedded system.
His Cloud computing research integrates issues from Trusted Computing, Data integrity and Correctness.
The various areas that he examines in his Code study include Cryptographic protocol, Computer network, Node, Overhead and Blockchain.
His work carried out in the field of Encryption brings together such families of science as Adversary, Information sensitivity, Information privacy and Traffic analysis.
His study looks at the intersection of Distributed computing and topics like Secure communication with Trusted computing base.
His Embedded system study incorporates themes from Runtime verification, Compiler and MESI protocol, Cache algorithms, Cache coloring.
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