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Maxim Anikeev 

E-mail:
Personal page in Russian:
https://sfedu.ru/person/-3000050
Personal page in English:
https://sfedu.ru/en/person/-3000050

Research interests:

  • Application of pattern recognition to IT-security problems (intrusion and anomaly detection, user behavior patterns, malware analysis, vulnerability assessment)
  • Other applications of pattern recognition (in particular to character recognition problems), hidden Markov models, neural networks, machine learning, computational linguistics
  • Automated reasoning, model checking
  • Cryptography, elliptic curves, lattice schemes
  • Parallel programming, scheduling theory
  • Secure memory management
  • Mathematical modeling, numerical analysis

Research projects:

Personal Fellowships

  • 05.2017 - Erasmus+ fellowship, Delivering lectures on High-Performance Computing at Universitat Autònoma de Barcelona
  • 10.2015-11.2015 - Fellowship of DAAD (German Academic Exchange Service), Friedrich-Alexander Universitaet Erlangen-Nuernberg, Erlangen, Germany, Supervisor: Prof. Felix Freiling, Exploration of secure deallocation approach to APGAS programming model and X10 programming environment
  • 09.2011-12.2011 - Joint fellowship of DAAD and MESRF (Ministry of Education and Science of the Russian Federation), Friedrich-Alexander Universitaet Erlangen-Nuernberg, Erlangen, Germany, Supervisor: Prof. Felix Freiling, Analysis of data traces in main memory and countermeasures
  • 10.2008-03.2009 - Joint fellowship of DAAD and MESRF, Technische Universitaet Darmstadt, Darmstadt, Germany, Supervisor: Prof. Sorin Huss, Definition and formal verification of a domain-specific language for computer security algorithms
  • 10.2006-03.2007 - Joint fellowship of DAAD and MESRF, Technische Universitaet Darmstadt, Darmstadt, Germany, Supervisor: Prof. Sorin Huss, Domain-specific language for computer security algorithms
  • 10.2004-03.2005 - Joint fellowship of DAAD and MESRF, Technische Universitaet Darmstadt, Darmstadt, Germany, Supervisor: Prof. Sorin Huss, Investigation of anomaly-detection approaches based on hidden Markov models

Supervised Students

  • Confidential data leak prevention for X10 programming system, N. Dolganin, 2018, excellent
  • A system for cross-evaluation of programming assignments, R. Zaitsev, 2017, excellent
  • A project of protected network infrastructure for Taganrog customs office, O. Kostyunin, 2016, good
  • A project of protected network infrastructure for "Evromost" security company, N. Sidelnikov, 2014, good
  • Multi-user password storage, V. Nikolaev, 2014, excellent
  • Exploration of approaches to treeless signature schemes implementation, S. Shchedrov, 2014, excellent
  • SPAM-filtering with word combination statistics analysis, Ye. Shirokov, 2013, excellent
  • Exploration of covert channel implementations in IPv6 networks, I. Shogenov, 2013, excellent
  • Analysis of random number generation quality in Linux, A. Gordeev, 2013, excellent
  • Verification of optimized point-addition algorithms for elliptic-curve cryptography, Ya. Maximov, 2012, excellent
  • Exploration of random number generation algorithms in Linux, V. Zlydnev, 2012, excellent
  • Protected time management system for computer clubs (client side), D. Koval, 2011, excellent
  • Protected time management system for computer clubs (server side), V. Mironov, 2011, excellent

Teaching:

  • Network Administration
  • Verification of information system security
  • Hardware and software means of data protection

Download CV (pdf)