What is he best known for?
The fields of study he is best known for:
- Operating system
- The Internet
- Computer security
The scientist’s investigation covers issues in Computer security, Botnet, Malware, Internet privacy and Software.
His Computer security research incorporates elements of Denial-of-service attack, The Internet and World Wide Web.
His Fast flux study in the realm of The Internet interacts with subjects such as Mobile search.
Thorsten Holz has included themes like Machine learning and Computer virus in his Malware study.
The various areas that Thorsten Holz examines in his Internet privacy study include Social spam, Web page, Contextual advertising and Forum spam.
The concepts of his Software study are interwoven with issues in Executable, Trojan, Intermediate language, Source code and Discriminative model.
His most cited work include:
- Toward Automated Dynamic Malware Analysis Using CWSandbox (640 citations)
- Learning and Classification of Malware Behavior (458 citations)
- The nepenthes platform: an efficient approach to collect malware (428 citations)
What are the main themes of his work throughout his whole career to date?
Thorsten Holz mainly focuses on Computer security, The Internet, Malware, Software and Internet privacy.
His research in Computer security intersects with topics in World Wide Web and Botnet.
Thorsten Holz interconnects Computer network and Server in the investigation of issues within The Internet.
His Software research incorporates themes from Code and Source code.
Thorsten Holz combines subjects such as Executable and Memory corruption with his study of Source code.
His Internet privacy research is multidisciplinary, incorporating elements of Transparency, General Data Protection Regulation and Online advertising.
He most often published in these fields:
- Computer security (48.57%)
- The Internet (15.10%)
- Malware (14.29%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer security (48.57%)
- Internet privacy (12.65%)
- Memory corruption (6.53%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Computer security, Internet privacy, Memory corruption, General Data Protection Regulation and Programming language.
His Computer security study frequently draws connections to adjacent fields such as Class.
His biological study spans a wide range of topics, including Online advertising, Transparency and Personalization.
His work carried out in the field of Memory corruption brings together such families of science as Embedded system and Source code.
His work deals with themes such as Subject access, Framing and Personally identifiable information, which intersect with General Data Protection Regulation.
His work focuses on many connections between Pointer and other disciplines, such as Software, that overlap with his field of interest in Machine learning, Function pointer, Virtual function and Artificial intelligence.
Between 2017 and 2021, his most popular works were:
- Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding. (70 citations)
- (Un)informed Consent: Studying GDPR Consent Notices in the Field (67 citations)
- REDQUEEN: Fuzzing with Input-to-State Correspondence. (61 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Programming language
His main research concerns Internet privacy, Computer security, General Data Protection Regulation, Fuzz testing and Artificial intelligence.
His Internet privacy study combines topics from a wide range of disciplines, such as Adware, Malware and Personalization.
In his research, he undertakes multidisciplinary study on Computer security and Mobile telephony.
His General Data Protection Regulation research also works with subjects such as
- Transparency, which have a strong connection to The Internet, Internet security, Implementation and Subject access,
- Online advertising that intertwine with fields like Data access, Subject, Personally identifiable information and Sharing economy.
He has researched Fuzz testing in several fields, including Theoretical computer science and State.
His Artificial intelligence research includes elements of Frequency analysis and Computer vision.
This overview was generated by a machine learning system which analysed the scientist’s
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