The scientist’s investigation covers issues in Computer security, Malware, The Internet, Malware analysis and Code. His Computer security research is multidisciplinary, relying on both Web application, Web page, World Wide Web and Botnet. His Malware research includes elements of File system, Master file and Encryption.
His The Internet study combines topics in areas such as Information security, Host and False positive rate. His Malware analysis research incorporates themes from Trojan horse, Rootkit, Leverage and False positive paradox. His studies in Code integrate themes in fields like Distributed computing, Executable, Data mining, Static analysis and Algorithm.
His primary areas of study are Computer security, World Wide Web, Malware, The Internet and Web application. His work deals with themes such as Phishing, Operating system and Internet privacy, which intersect with Computer security. His biological study spans a wide range of topics, including Executable and Botnet.
Engin Kirda has included themes like Information security and Server in his The Internet study. The concepts of his Web application study are interwoven with issues in Client-side, Cross-site scripting, Mashup and Web analytics. His studies deal with areas such as Client-side scripting and Scripting language as well as Cross-site scripting.
Engin Kirda spends much of his time researching Computer security, Exploit, Code, Malware and World Wide Web. His research integrates issues of Speculative execution, The Internet and State in his study of Computer security. The Web application security research Engin Kirda does as part of his general The Internet study is frequently linked to other disciplines of science, such as Web cache, therefore creating a link between diverse domains of science.
Computer security, Ransomware, Malware, World Wide Web and Code are his primary areas of study. His Computer security study incorporates themes from Instruction set and State. Engin Kirda has researched Ransomware in several fields, including Encryption and Backup.
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)
Limits of Static Analysis for Malware Detection
A. Moser;C. Kruegel;E. Kirda.
annual computer security applications conference (2007)
Pixy: a static analysis tool for detecting Web application vulnerabilities
N. Jovanovic;C. Kruegel;E. Kirda.
ieee symposium on security and privacy (2006)
All your contacts are belong to us: automated identity theft attacks on social networks
Leyla Bilge;Thorsten Strufe;Davide Balzarotti;Engin Kirda.
the web conference (2009)
Exploring Multiple Execution Paths for Malware Analysis
A. Moser;C. Kruegel;E. Kirda.
ieee symposium on security and privacy (2007)
Cross Site Scripting Prevention with Dynamic Data Tainting and Static Analysis.
Philipp Vogt;Florian Nentwich;Nenad Jovanovic;Engin Kirda.
network and distributed system security symposium (2007)
Effective and efficient malware detection at the end host
Clemens Kolbitsch;Paolo Milani Comparetti;Christopher Kruegel;Engin Kirda.
usenix security symposium (2009)
Polymorphic worm detection using structural information of executables
Christopher Kruegel;Engin Kirda;Darren Mutz;William Robertson.
recent advances in intrusion detection (2005)
Service specific anomaly detection for network intrusion detection
Christopher Krügel;Thomas Toth;Engin Kirda.
acm symposium on applied computing (2002)
Profile was last updated on December 6th, 2021.
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