Christopher Kruegel has included themes like NetFlow, Data security and Information privacy in his The Internet study. His Web application study incorporates themes from Web server and Scripting language. His Intrusion detection system, Anomaly detection and Anomaly-based intrusion detection system study in the realm of Data mining interacts with subjects such as Process.
Computer security, Malware, World Wide Web, The Internet and Intrusion detection system are his primary areas of study. He combines subjects such as Web application, Phishing, Internet privacy and Botnet with his study of Computer security. His Malware study combines topics from a wide range of disciplines, such as Set and Code.
His Code study integrates concerns from other disciplines, such as Process and Executable. His research integrates issues of Computer network and Server in his study of The Internet. His Intrusion detection system research includes elements of Anomaly detection and False positive paradox.
Christopher Kruegel mainly investigates Malware, Artificial intelligence, Firmware, Static analysis and Software. His work in the fields of Malware analysis overlaps with other areas such as Developing country. Christopher Kruegel focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Machine learning and, in some cases, Search algorithm.
The study incorporates disciplines such as The Internet and Code in addition to Software. His Code study deals with the bigger picture of Computer security. His Computer security research includes themes of Block and Rank.
His main research concerns Artificial intelligence, Machine learning, Malware, Artificial neural network and Operating system. The Artificial intelligence study combines topics in areas such as Attack model and Pattern recognition. His Malware research is multidisciplinary, incorporating elements of Cryptocurrency, Obfuscation, Profitability index, Obfuscation and Static analysis.
His Artificial neural network research integrates issues from Stability, Classifier and Reinforcement learning. In general Operating system study, his work on Abstraction layer, Firmware and Android often relates to the realm of Emulation, thereby connecting several areas of interest. His Android study combines topics in areas such as Codebase, Source code, Foreach loop and Random forest.
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.
Panorama: capturing system-wide information flow for malware detection and analysis
Heng Yin;Dawn Song;Manuel Egele;Christopher Kruegel.
computer and communications security (2007)
A survey on automated dynamic malware-analysis techniques and tools
Manuel Egele;Theodoor Scholte;Engin Kirda;Christopher Kruegel.
ACM Computing Surveys (2012)
Anomaly detection of web-based attacks
Christopher Kruegel;Giovanni Vigna.
computer and communications security (2003)
Detecting spammers on social networks
Gianluca Stringhini;Christopher Kruegel;Giovanni Vigna.
annual computer security applications conference (2010)
Limits of Static Analysis for Malware Detection
A. Moser;C. Kruegel;E. Kirda.
annual computer security applications conference (2007)
Your botnet is my botnet: analysis of a botnet takeover
Brett Stone-Gross;Marco Cova;Lorenzo Cavallaro;Bob Gilbert.
computer and communications security (2009)
Pixy: a static analysis tool for detecting Web application vulnerabilities
N. Jovanovic;C. Kruegel;E. Kirda.
ieee symposium on security and privacy (2006)
Marco Cova;Christopher Kruegel;Giovanni Vigna.
the web conference (2010)
Exploring Multiple Execution Paths for Malware Analysis
A. Moser;C. Kruegel;E. Kirda.
ieee symposium on security and privacy (2007)
Comprehensive approach to intrusion detection alert correlation
F. Valeur;G. Vigna;C. Kruegel;R.A. Kemmerer.
IEEE Transactions on Dependable and Secure Computing (2004)
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