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ORCIDAlexander I. Pechenkin
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Journal Articles
- 2018
[j12]Peter D. Zegzhda
, Maria A. Poltavtseva, Alexander I. Pechenkin, Daria S. Lavrova, Elizaveta Zaitseva:
A Use Case Analysis of Heterogeneous Semistructured Objects in Information Security Problems. Autom. Control. Comput. Sci. 52(8): 918-930 (2018)- [j11]Roman Demidov, Alexander I. Pechenkin, Peter D. Zegzhda, Maxim O. Kalinin:
Application Model of Modern Artificial Neural Network Methods for the Analysis of Information Systems Security. Autom. Control. Comput. Sci. 52(8): 965-970 (2018) - [j10]Maxim O. Kalinin, E. A. Zubkov, A. F. Suprun, Alexander I. Pechenkin:
Prevention of Attacks on Dynamic Routing in Self-Organizing Adhoc Networks Using Swarm Intelligence. Autom. Control. Comput. Sci. 52(8): 977-983 (2018) - [j9]Roman Demidov, Alexander I. Pechenkin:
An Approach to the Programs Security Analysis using Vector Representation of Machine Code. Autom. Control. Comput. Sci. 52(8): 1010-1016 (2018) - [j8]Roman Demidov, Alexander I. Pechenkin, Peter D. Zegzhda:
An Approach to Vulnerability Searching of Integer Overflows in the Executable Program Code. Autom. Control. Comput. Sci. 52(8): 1022-1028 (2018) - 2017
- [j7]Maria A. Poltavtseva, Alexander I. Pechenkin:
Intelligent data analysis in decision support systems for penetration tests. Autom. Control. Comput. Sci. 51(8): 985-991 (2017) - 2016
- [j6]Maria A. Poltavtseva, Daria S. Lavrova, Alexander I. Pechenkin:
Planning of aggregation and normalization of data from the Internet of Things for processing on a multiprocessor cluster. Autom. Control. Comput. Sci. 50(8): 703-711 (2016) - 2015
- [j5]Daria S. Lavrova, Alexander I. Pechenkin:
Adaptive reflexivity threat protection. Autom. Control. Comput. Sci. 49(8): 727-734 (2015) - [j4]Daria S. Lavrova, Alexander I. Pechenkin, Vladimir V. Gluhov:
Applying correlation analysis methods to control flow violation detection in the internet of things. Autom. Control. Comput. Sci. 49(8): 735-740 (2015) - [j3]Alexander I. Pechenkin, Alexey V. Nikolskiy:
Architecture of a scalable system of fuzzing network protocols on a multiprocessor cluster. Autom. Control. Comput. Sci. 49(8): 758-765 (2015) - [j2]Alexander I. Pechenkin, Daria S. Lavrova:
Modeling the search for vulnerabilities via the fuzzing method using an automation representation of network protocols. Autom. Control. Comput. Sci. 49(8): 826-833 (2015) - [j1]Daria S. Lavrova, Alexander I. Pechenkin:
Applying Correlation and Regression Analysis Methods for Security Incidents Detection in the Internet of Things. Int. J. Commun. Networks Inf. Secur. 7(3) (2015)
Conference and Workshop Papers
- 2018
- [c6]Roman Demidov, Alexander I. Pechenkin:
Vector representation of machine instructions for vulnerability assessment of digital infrastructure components. ICPS 2018: 835-840 - [c5]Alexander I. Pechenkin, Roman Demidov:
Applying Deep Learning and Vector Representation for Software Vulnerabilities Detection. SIN 2018: 13:1-13:6 - 2017
- [c4]Roman Demidov, Alexander I. Pechenkin, Peter D. Zegzhda:
Integer overflow vulnerabilities detection in software binary code. SIN 2017: 101-106 - [c3]Dmitry P. Zegzhda, Peter D. Zegzhda, Alexander I. Pechenkin, Maria A. Poltavtseva:
Modeling of information systems to their security evaluation. SIN 2017: 295-298 - 2016
- [c2]Peter D. Zegzhda, Dmitry P. Zegzhda, Maxim O. Kalinin, Alexander I. Pechenkin, Alexander Minin, Daria S. Lavrova:
Safe Integration of SIEM Systems with Internet of Things: Data Aggregation, Integrity Control, and Bioinspired Safe Routing. SIN 2016: 81-87 - 2015
- [c1]Tatiana V. Stepanova, Alexander I. Pechenkin, Daria S. Lavrova:
Ontology-based big data approach to automated penetration testing of large-scale heterogeneous systems. SIN 2015: 142-149
Coauthor Index
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