H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 97 Citations 35,684 234 World Ranking 176 National Ranking 103

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • The Internet
  • Computer security

Christopher Kruegel mostly deals with Computer security, Malware, The Internet, Web application and Data mining. His biological study spans a wide range of topics, including False positive paradox, Class, World Wide Web, JavaScript and Botnet. The various areas that he examines in his Malware study include Process and Cutwail botnet.

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.

His most cited work include:

  • Panorama: capturing system-wide information flow for malware detection and analysis (668 citations)
  • Detecting spammers on social networks (600 citations)
  • Pixy: a static analysis tool for detecting Web application vulnerabilities (598 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Computer security (52.90%)
  • Malware (23.91%)
  • World Wide Web (17.75%)

What were the highlights of his more recent work (between 2017-2021)?

  • Malware (23.91%)
  • Artificial intelligence (5.80%)
  • Firmware (2.54%)

In recent papers he was focusing on the following fields of study:

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.

Between 2017 and 2021, his most popular works were:

  • MineSweeper: An In-depth Look into Drive-by Cryptocurrency Mining and Its Defense (51 citations)
  • GuardION: Practical Mitigation of DMA-Based Rowhammer Attacks on ARM (32 citations)
  • PeriScope: An Effective Probing and Fuzzing Framework for the Hardware-OS Boundary (23 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • The Internet
  • Programming language

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.

Best Publications

Panorama: capturing system-wide information flow for malware detection and analysis

Heng Yin;Dawn Song;Manuel Egele;Christopher Kruegel.
computer and communications security (2007)

971 Citations

A survey on automated dynamic malware-analysis techniques and tools

Manuel Egele;Theodoor Scholte;Engin Kirda;Christopher Kruegel.
ACM Computing Surveys (2012)

881 Citations

Anomaly detection of web-based attacks

Christopher Kruegel;Giovanni Vigna.
computer and communications security (2003)

850 Citations

Detecting spammers on social networks

Gianluca Stringhini;Christopher Kruegel;Giovanni Vigna.
annual computer security applications conference (2010)

837 Citations

Limits of Static Analysis for Malware Detection

A. Moser;C. Kruegel;E. Kirda.
annual computer security applications conference (2007)

833 Citations

Your botnet is my botnet: analysis of a botnet takeover

Brett Stone-Gross;Marco Cova;Lorenzo Cavallaro;Bob Gilbert.
computer and communications security (2009)

805 Citations

Pixy: a static analysis tool for detecting Web application vulnerabilities

N. Jovanovic;C. Kruegel;E. Kirda.
ieee symposium on security and privacy (2006)

788 Citations

Detection and analysis of drive-by-download attacks and malicious JavaScript code

Marco Cova;Christopher Kruegel;Giovanni Vigna.
the web conference (2010)

739 Citations

Exploring Multiple Execution Paths for Malware Analysis

A. Moser;C. Kruegel;E. Kirda.
ieee symposium on security and privacy (2007)

677 Citations

Comprehensive approach to intrusion detection alert correlation

F. Valeur;G. Vigna;C. Kruegel;R.A. Kemmerer.
IEEE Transactions on Dependable and Secure Computing (2004)

651 Citations

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Contact us

Best Scientists Citing Christopher Kruegel

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Peng Liu

Chinese Academy of Sciences

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Dawn Song

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University of California, Berkeley

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Georgia Institute of Technology

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Boston University

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Angelos D. Keromytis

Angelos D. Keromytis

Georgia Institute of Technology

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Thorsten Holz

Ruhr University Bochum

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Konrad Rieck

Technische Universität Braunschweig

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Wouter Joosen

Wouter Joosen

KU Leuven

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Frank Piessens

KU Leuven

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Salvatore J. Stolfo

Salvatore J. Stolfo

Columbia University

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Benjamin Livshits

Benjamin Livshits

Imperial College London

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Heng Yin

Heng Yin

University of California, Riverside

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Davide Balzarotti

Davide Balzarotti

EURECOM

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Guofei Gu

Guofei Gu

Texas A&M University

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Engin Kirda

Engin Kirda

Northeastern University

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Herbert Bos

Herbert Bos

Vrije Universiteit Amsterdam

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