Negative Selection Algorithm Research and Applications in the Last Decade: A Review

Gupta, Kishor Datta; Dasgupta, Dipankar

doi:10.1109/tai.2021.3114661

Cited by 13 publications

(3 citation statements)

References 153 publications

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“…When determining the characteristics of failure and the time to determine failure, it is possible to build a control system that is proactively stable before failure. That is, the system can recover from damage by either automatically changing the system's structure, automatically changing the working algorithm, or using backup sensors [20], [21]. To restore the system's working ability, signal correction methods, coefficient correction methods or structural change methods are often used.…”

Section: Restore the Workabilitymentioning

confidence: 99%

A novel framework of building operation algorithm for the block of technical diagnostics of aircraft’s automatic control system

Vuong,

Tran,

et al. 2024

Bulletin EEI

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This article presents the problem of designing an automatic control system that is stable against errors and failures of sensors on aircraft. The sensor system has a technical diagnostic block that ensures diagnosis and eliminates typical errors and failures. Based on the determination of the error vector, damage can occur by adding measurement elements corresponding to the measurement parameters to the control system. When there are errors or failures of the sensor elements, the state vector of the system changes and is determined by measurements. The difference between the measured vector components when there are errors, failures and when working normally is the basis of the working algorithm of the failure diagnosis block. The results demonstrate encouraging prospects for practical implementations.

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Section: Restore the Workabilitymentioning

confidence: 99%

A novel framework of building operation algorithm for the block of technical diagnostics of aircraft’s automatic control system

Vuong,

Tran,

et al. 2024

Bulletin EEI

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“…class [50,51]. The fields of classification and noise reduction [52], test data generation [53], anomaly detection [54], email spam detection [55], and other scenarios are some of the applications of the NSA.…”

Section: Negative Selection Approachmentioning

confidence: 99%

Cost-effective clonal selection and AIS-based load balancing in cloud computing environment

Mosayebi¹,

Azmi²

2023

Preprint

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One of the challenges in cloud computing is increasing efficiency, which calls for the application of task scheduling and load balancing. Numerous load-balancing methods that have been suggested for the cloud environment can increase efficiency. The Throttled policy is one of them that aids in evenly distributing user requests among virtual machines. In the first part of this article, we examined the cost of the Clonal selection algorithm with Throttled load balancing Policy and the Clonal selection algorithm with Distributed Service Broker Policy and contrasted them to the clonal selection and other immune systems mechanisms. Additionally, we suggest two additional mechanisms based on the artificial immune system. In the two proposed mechanisms, algorithms are introduced so that by benefiting from load balancing policies when receiving requests from users, in the shortest possible time and the fastest processing of data and with the lowest cost, they respond to users. In the second part, we introduce two other new algorithms that were created as a result of combining an evolutionary algorithm with the artificial immune system mechanisms. Algorithms have been evaluated and compared with other algorithms using the Cloud Analyst simulator in terms of average response time, average data center processing time, total data transfer cost, and total cost. The results attained show how much better the suggested algorithms are.

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“…The main characteristics of the immune system are the ability to distinguish self from non-self and the cloning principle. In the artificial immune system research area, the first characteristic has produced many algorithms, denoted as negative selection algorithms (Gupta and Dasgupta, 2022 ), which have also been applied to the general problem of intrusion detection (Singh et al, 2022 ) and also anomaly detection (Saurabh and Verma, 2023 ). The clonal selection principle, likewise, has inspired the design of many algorithms obtained by setting and combining the parameters of the main operators: (i) cloning; (ii) hypermutation; and (iii) aging.…”

Section: Metaheuristics Machine Learning and Anomaly Detectionmentioning

confidence: 99%

Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques

Cavallaro,

Cutello,

Pavone

et al. 2023

Front. Big Data

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With the increase in available data from computer systems and their security threats, interest in anomaly detection has increased as well in recent years. The need to diagnose faults and cyberattacks has also focused scientific research on the automated classification of outliers in big data, as manual labeling is difficult in practice due to their huge volumes. The results obtained from data analysis can be used to generate alarms that anticipate anomalies and thus prevent system failures and attacks. Therefore, anomaly detection has the purpose of reducing maintenance costs as well as making decisions based on reports. During the last decade, the approaches proposed in the literature to classify unknown anomalies in log analysis, process analysis, and time series have been mainly based on machine learning and deep learning techniques. In this study, we provide an overview of current state-of-the-art methodologies, highlighting their advantages and disadvantages and the new challenges. In particular, we will see that there is no absolute best method, i.e., for any given dataset a different method may achieve the best result. Finally, we describe how the use of metaheuristics within machine learning algorithms makes it possible to have more robust and efficient tools.

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Negative Selection Algorithm Research and Applications in the Last Decade: A Review

Cited by 13 publications

References 153 publications

A novel framework of building operation algorithm for the block of technical diagnostics of aircraft’s automatic control system

A novel framework of building operation algorithm for the block of technical diagnostics of aircraft’s automatic control system

Cost-effective clonal selection and AIS-based load balancing in cloud computing environment

Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques

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