Triple Modular Redundancy Optimization for Threshold Determination in Intrusion Detection Systems

Babic, Ivan; Miljković, Aleksandar; Čabarkapa, Milan; Nikolić, Vojkan; Đorđević, Aleksandar; Ranđelović, Milan; Ranđelović, Dragan

doi:10.3390/sym13040557

Cited by 11 publications

(8 citation statements)

References 35 publications

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“…To study systems with triple modular reservation [27][28][29], the method of calculating the probability of trouble-free functioning of the system with triple modular reservation was used.…”

Section: The Study Materials and Methodsmentioning

confidence: 99%

“…A common expression for determining the probability of a system trouble-free operation with a triple modular reservation when k = 3 [27][28][29]:…”

Section: The Study Materials and Methodsmentioning

confidence: 99%

“…The next important type of reservation is the triple modular reservation [27][28][29]. The essence of this reservation is that instead of one element, several, usually an odd number of identical elements are included, the results of the functioning of which are received in the coordination block.…”

Section: Analysis Of Possible Types Of Reservation Of Individual Func...mentioning

confidence: 99%

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Improving the scientific methodological approach to determining the appropriate type of reservation of a reconnaissance fire system

Maistrenko

Stetsiv

Savelіev

et al. 2023

EEJET

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The object of this study is the process of choosing the appropriate types of reservation of reconnaissance fire systems under the conditions of performing a combat mission. The problem that was solved is the unsuitability of existing scientific and methodological apparatus to substantiate the appropriate type of reservation for reconnaissance and fire systems under specific conditions for performing a combat mission. Possible types of reservation of reconnaissance fire systems have been analyzed. Based on the results of the analysis, appropriate types of reservation were established, in particular, active, unactive, majoritarian sliding, distributed, for subsystems, as well as general reservation. A feature of this analysis is that it was carried out taking into account the peculiarities of the functioning of reconnaissance and fire systems. This makes it possible to eliminate existing problem associated with the complexity of the use of reconnaissance and fire systems in a combat event. The scope of practical use of the results of the proposed analysis is the management processes associated with the creation, layout, and use of reconnaissance and fire systems in military administration bodies. A methodology for determining the appropriate type of reservation of reconnaissance fire systems has been devised. A feature of the proposed procedure is the choice of such a type of reservation that makes it possible to save the resource of elements, provided that the task is completed. The proposed methodology ensures an increase in the stability of the functioning of reconnaissance and fire systems by an average of 20 % for the conditions adopted within the limits of the example. The proposed methodology closes the problem part, which concerns the procedure and rules for choosing the appropriate type of reservation. The scope and conditions for the practical use of the proposed methodology are management processes related to the planning and determination of the projected effectiveness of hostilities by military authorities

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Section: The Study Materials and Methodsmentioning

confidence: 99%

“…A common expression for determining the probability of a system trouble-free operation with a triple modular reservation when k = 3 [27][28][29]:…”

Section: The Study Materials and Methodsmentioning

confidence: 99%

Section: Analysis Of Possible Types Of Reservation Of Individual Func...mentioning

confidence: 99%

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Improving the scientific methodological approach to determining the appropriate type of reservation of a reconnaissance fire system

Maistrenko

Stetsiv

Savelіev

et al. 2023

EEJET

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“…In this section, we evaluate the accuracy of the algorithm by comparing the results of algorithms Cet, HFDD, and DisTFD with those of the TANE [ 25 ] algorithm, respectively, using the method in the literature [ 45 ].…”

Section: Methodsmentioning

confidence: 99%

An Efficient and Scalable Algorithm to Mine Functional Dependencies from Distributed Big Data

Mao

2022

Sensors

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A crucial step in improving data quality is to discover semantic relationships between data. Functional dependencies are rules that describe semantic relationships between data in relational databases and have been applied to improve data quality recently. However, traditional functional discovery algorithms applied to distributed data may lead to errors and the inability to scale to large-scale data. To solve the above problems, we propose a novel distributed functional dependency discovery algorithm based on Apache Spark, which can effectively discover functional dependencies in large-scale data. The basic idea is to use data redistribution to discover functional dependencies in parallel on multiple nodes. In this algorithm, we take a sampling approach to quickly remove invalid functional dependencies and propose a greedy-based task assignment strategy to balance the load. In addition, the prefix tree is used to store intermediate computation results during the validation process to avoid repeated computation of equivalence classes. Experimental results on real and synthetic datasets show that the proposed algorithm in this paper is more efficient than existing methods while ensuring accuracy.

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“…For example, the paper [6] presented the Triple Modular Redundancy (TMR) method, as one of the machine learning (ML) ensemble methods, which optimizes the efficiency in determining the threshold when detecting attacks on the network. In this ensemble, there are the attack suggestion algorithm, the k-nearest neighbors algorithm, the cumulative sum algorithm, and the exponentially weighted moving average algorithm in combination with TMR [7][8][9], while the role of voting is played by informational TMR in the optimization process.…”

Section: Introductionmentioning

confidence: 99%

Using Triple Modular Redundancy for Threshold Determination in DDOS Intrusion Detection Systems

Maksimović,

Nikolić,

Vidojević

et al. 2024

IEEE Access

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This paper describes an Intrusion Detection System (IDS) which uses several existing known IDS algorithms and Triple Modular Redundancy (TMR) algorithm to make decision about eventual existing attack by majority voting in one constructed ensemble model which solves practically the problem of binary classification. Proposed novel model belongs to so called stacking ensemble methods of machine learning algorithms which uses exactly four algorithms from the group of best binary classification algorithms: Decision trees, Naive Bayes, Support Vector Machine, k-nearest neighbors, logistic regression and AdaBoost and is applicable for any similar problem. Using proposed method, we get a more precisely determined threshold than it is case using whatever of in method individual applied algorithm as well as those algorithms that are the state of the art in the field of binary classification. Besides that, one of the main disadvantages of classic TMR used for classification network traffic, which is the problem of bad over-voting was successfully avoided by improving classic TMR with a new algorithm proposed by the authors. Today a denial of service attacks (DoS) and distributed denial of service (DDoS) are one of most present type on Internet and that is why the authors in this paper paid special attention to them and because of that the authors of proposed method chose to use known KAGGLE dataset which contains data of these type of attacks for the examination of quality of proposed IDS method implemented in suitable software. Obtained results showed that IDS software with implemented proposed method worked precise and timely, which means alarms was trigger properly and efficiently with better results of quality of classification in most important measures than the individual included algorithms who are the state of the art in binary classification.

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Triple Modular Redundancy Optimization for Threshold Determination in Intrusion Detection Systems

Cited by 11 publications

References 35 publications

Improving the scientific methodological approach to determining the appropriate type of reservation of a reconnaissance fire system

Improving the scientific methodological approach to determining the appropriate type of reservation of a reconnaissance fire system

An Efficient and Scalable Algorithm to Mine Functional Dependencies from Distributed Big Data

Using Triple Modular Redundancy for Threshold Determination in DDOS Intrusion Detection Systems

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