What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
His scientific interests lie mostly in Computer security, Computer network, Denial-of-service attack, The Internet and Server.
In general Computer security study, his work on Malware and Intrusion detection system often relates to the realm of Internet of Things, thereby connecting several areas of interest.
His Malware research is multidisciplinary, incorporating elements of False positive paradox, Metadata, Classifier, Phishing and Container.
The Denial-of-service attack study combines topics in areas such as Routing, Service and Authentication.
His The Internet research includes themes of Hot spot, Crowds, Robustness and Web service.
His Server study integrates concerns from other disciplines, such as Web server and Overhead.
His most cited work include:
- DDoS in the IoT: Mirai and Other Botnets (646 citations)
- Malicious PDF detection using metadata and structural features (160 citations)
- Casting out Demons: Sanitizing Training Data for Anomaly Sensors (157 citations)
What are the main themes of his work throughout his whole career to date?
Angelos Stavrou focuses on Computer security, Computer network, The Internet, Denial-of-service attack and Malware.
He does research in Computer security, focusing on Intrusion detection system specifically.
His Computer network study frequently links to adjacent areas such as Overlay.
The concepts of his The Internet study are interwoven with issues in Web service, Crowds and Hot spot.
His study looks at the intersection of Denial-of-service attack and topics like Server with Testbed.
His Malware study incorporates themes from Exploit and Virtual machine.
He most often published in these fields:
- Computer security (47.66%)
- Computer network (21.50%)
- The Internet (17.76%)
What were the highlights of his more recent work (between 2016-2021)?
- Computer security (47.66%)
- Denial-of-service attack (17.29%)
- The Internet (17.76%)
In recent papers he was focusing on the following fields of study:
Angelos Stavrou mainly focuses on Computer security, Denial-of-service attack, The Internet, Server and Cloud computing.
His Computer security research is multidisciplinary, incorporating perspectives in Android and Computer network.
His Denial-of-service attack study also includes fields such as
- Botnet and related Malware and Asynchronous communication,
- State and related Service, Microservices and Container.
His studies deal with areas such as Feature selection, Network security, Cloud computing security and Call to action as well as The Internet.
His research in Server tackles topics such as Application server which are related to areas like Indirection and Application layer DDoS attack.
His biological study spans a wide range of topics, including Fault tolerance and Virtual machine.
Between 2016 and 2021, his most popular works were:
- DDoS in the IoT: Mirai and Other Botnets (646 citations)
- The Mirai botnet and the IoT Zombie Armies (64 citations)
- Strict Virtual Call Integrity Checking for C++ Binaries (18 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
The scientist’s investigation covers issues in Computer security, Denial-of-service attack, Internet of Things, Server and The Internet.
His study in Computer security is interdisciplinary in nature, drawing from both Android, Operating system, Computer network and Embedded system.
His Computer network research incorporates themes from Set and Blockchain.
His work deals with themes such as Cryptography, Spoofing attack, Threat model and Beacon, which intersect with Denial-of-service attack.
His research integrates issues of Overhead, Cyclomatic complexity, Code, Voice over IP and Cloud computing in his study of Server.
The various areas that Angelos Stavrou examines in his The Internet study include Decision tree, E-commerce, Gradient based algorithm and Behavioral pattern.
This overview was generated by a machine learning system which analysed the scientist’s
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