Towards Resilient Critical Infrastructures: Application of Type-2 Fuzzy Logic in Embedded Network Security Cyber Sensor

Title: Towards Resilient Critical Infrastructures: Application of Type-2 Fuzzy Logic in Embedded Network Security Cyber Sensor

Full Record
Other Related Research

Abstract

Resiliency and cyber security of modern critical infrastructures is becoming increasingly important with the growing number of threats in the cyber-environment. This paper proposes an extension to a previously developed fuzzy logic based anomaly detection network security cyber sensor via incorporating Type-2 Fuzzy Logic (T2 FL). In general, fuzzy logic provides a framework for system modeling in linguistic form capable of coping with imprecise and vague meanings of words. T2 FL is an extension of Type-1 FL which proved to be successful in modeling and minimizing the effects of various kinds of dynamic uncertainties. In this paper, T2 FL provides a basis for robust anomaly detection and cyber security state awareness. In addition, the proposed algorithm was specifically developed to comply with the constrained computational requirements of low-cost embedded network security cyber sensors. The performance of the system was evaluated on a set of network data recorded from an experimental cyber-security test-bed.

Authors:: Linda, Ondrej; Vollmer, Todd; Alves-Foss, Jim; Manic, Milos

Publication Date:: 2011-08-01

Research Org.:: Idaho National Laboratory (INL)

Sponsoring Org.:: DOE - OE

OSTI Identifier:: 1028233

Report Number(s):: INL/CON-11-21923
TRN: US201122%%757

DOE Contract Number:: DE-AC07-05ID14517

Resource Type:: Conference

Resource Relation:: Conference: 4th International Symposium on Resilient Control Systems,Boise, Idaho,08/09/2011,08/11/2011

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICAL METHODS AND COMPUTING; ALGORITHMS; CONTROL SYSTEMS; DETECTION; FUZZY LOGIC; PERFORMANCE; SECURITY; SENSORS; SIMULATION; Anomaly Detection; Cyber Sensor; Embedded Systems; Online Clustering; Type-2 Fuzzy Logic

Citation Formats


                    Linda, Ondrej, Vollmer, Todd, Alves-Foss, Jim, and Manic, Milos. Towards Resilient Critical Infrastructures: Application of Type-2 Fuzzy Logic in Embedded Network Security Cyber Sensor.  United States: N. p., 2011. 
        Web.

Copy to clipboard


                    Linda, Ondrej, Vollmer, Todd, Alves-Foss, Jim, & Manic, Milos. Towards Resilient Critical Infrastructures: Application of Type-2 Fuzzy Logic in Embedded Network Security Cyber Sensor.  United States.

Copy to clipboard


                    Linda, Ondrej, Vollmer, Todd, Alves-Foss, Jim, and Manic, Milos. Mon .  
        "Towards Resilient Critical Infrastructures: Application of Type-2 Fuzzy Logic in Embedded Network Security Cyber Sensor".  United States.  https://www.osti.gov/servlets/purl/1028233.

Copy to clipboard


                    
@article{osti_1028233,

  title        = {Towards Resilient Critical Infrastructures: Application of Type-2 Fuzzy Logic in Embedded Network Security Cyber Sensor},

  author       = {Linda, Ondrej and Vollmer, Todd and Alves-Foss, Jim and Manic, Milos},

  abstractNote = {Resiliency and cyber security of modern critical infrastructures is becoming increasingly important with the growing number of threats in the cyber-environment. This paper proposes an extension to a previously developed fuzzy logic based anomaly detection network security cyber sensor via incorporating Type-2 Fuzzy Logic (T2 FL). In general, fuzzy logic provides a framework for system modeling in linguistic form capable of coping with imprecise and vague meanings of words. T2 FL is an extension of Type-1 FL which proved to be successful in modeling and minimizing the effects of various kinds of dynamic uncertainties. In this paper, T2 FL provides a basis for robust anomaly detection and cyber security state awareness. In addition, the proposed algorithm was specifically developed to comply with the constrained computational requirements of low-cost embedded network security cyber sensors. The performance of the system was evaluated on a set of network data recorded from an experimental cyber-security test-bed.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1028233},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2011},

  month        = {8}

}

Copy to clipboard

Conference:

View Conference

Other availability

Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

Fuzzy Logic Based Anomaly Detection for Embedded Network Security Cyber Sensor

Conference Linda, Ondrej ; Vollmer, Todd ; Wright, Jason ; ...

Resiliency and security in critical infrastructure control systems in the modern world of cyber terrorism constitute a relevant concern. Developing a network security system specifically tailored to the requirements of such critical assets is of a primary importance. This paper proposes a novel learning algorithm for anomaly based network security cyber sensor together with its hardware implementation. The presented learning algorithm constructs a fuzzy logic rule based model of normal network behavior. Individual fuzzy rules are extracted directly from the stream of incoming packets using an online clustering algorithm. This learning algorithm was specifically developed to comply with the constrainedmore »« less
Full Text Available
Improving Cyber-Security of Smart Grid Systems via Anomaly Detection and Linguistic Domain Knowledge

Conference Linda, Ondrej ; Vollmer, Todd ; Manic, Milos

The planned large scale deployment of smart grid network devices will generate a large amount of information exchanged over various types of communication networks. The implementation of these critical systems will require appropriate cyber-security measures. A network anomaly detection solution is considered in this work. In common network architectures multiple communications streams are simultaneously present, making it difficult to build an anomaly detection solution for the entire system. In addition, common anomaly detection algorithms require specification of a sensitivity threshold, which inevitably leads to a tradeoff between false positives and false negatives rates. In order to alleviate these issues, thismore »« less
Full Text Available
FN-DFE: Fuzzy-Neural Data Fusion Engine for Enhanced State-Awareness of Resilient Hybrid Energy System

Journal Article Linda, Ondrej ; Wijayasekara, Dumidu ; Manic, Milos ; ... - Transactions on Cybernetics

Resiliency and improved state-awareness of modern critical infrastructures, such as energy production and industrial systems, is becoming increasingly important. As control systems become increasingly complex, the number of inputs and outputs increase. Therefore, in order to maintain sufficient levels of state-awareness, a robust system state monitoring must be implemented that correctly identifies system behavior even when one or more sensors are faulty. Furthermore, as intelligent cyber adversaries become more capable, incorrect values may be fed to the operators. To address these needs, this paper proposes a Fuzzy-Neural Data Fusion Engine (FN-DFE) for resilient state-awareness of control systems. The designed FN-DFEmore »« less
Expert systems with fuzzy logic for intelligent diagnosis and control of nuclear power plants

Conference Abdelhai, M I ; Upadhyaya, B R - Transactions of the American Nuclear Society; (United States)

A model-based production-rule analysis system was developed for the tracking and diagnosis of the condition of a reactor coolant system (RCS) using a fuzzy logic algorithm. Since nuclear power plants are large and complex systems, it is natural that vagueness, uncertainty, and imprecision are introduced to such systems. Even in fully automated power plants, the critical diagnostic and control changes must be made by operators who usually express their diagnostic and control strategies linguistically as sets of heuristic decision rules. Therefore, additional imprecisions are introduced into the systems because of the imprecise nature of such qualitative strategies when they aremore »« less
Developing a fuzzy rule based cognitive map for total system safety assessment

Conference Lemos, Francisco Luiz de ; Sullivan, Terry

Total System Performance Assessment, TSPA, for radioactive waste disposal is a multi and interdisciplinary task that is characterized by complex interactions between parameters and processes; lack of data; and ignorance regarding natural processes and conditions. The vagueness in the determination of ranges of values of parameters and identification of interacting processes pose further difficulties to the analysts with regard to the establishment of the relations between processes and parameters. More specifically the vagueness makes uncertainty propagation and sensitivity analysis challenging to analyze. To cope with these difficulties experts often use simplifications and linguistic terms to express their state of knowledgemore »« less

Similar Records