Online behavior classification for anomaly detection in self‐x real‐time systems

Rammig, Franz J.; Stahl, Katharina

doi:10.1002/cpe.3567

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…Continuing on with the last time period, bio inspired approaches were seen in this time period, addressing emergent behavior [223] and artificial DNA [40]. Security was a focus of this theme with guarantees [170] and verifications [46] being explored.…”

Section: -2020 -The Last Decade -Second Halfmentioning

confidence: 99%

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Wong¹,

Wagner²

2021

Preprint

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Championed by IBM's vision of autonomic computing paper in 2003, the autonomic computing research field has seen increased research activity over the last 20 years. Several conferences (SEAMS, SASO, ICAC) and workshops (SISSY) have been established and have contributed to the autonomic computing knowledge base in search of a new kind of system -a self-adaptive system (SAS). These systems are characterized by being context-aware and can act on that awareness. The actions carried out could be on the system or on the context (or environment). The underlying goal of a SAS is the sustained achievement of its goals despite changes in its environment. Despite a number of literature reviews on specific aspects of SASs ranging from their requirements to quality attributes, we lack a systematic understanding of the current state of the art. This paper contributes a systematic literature review into self-adaptive systems using the dblp computer science bibliography as a database. We filtered the records systematically in successive steps to arrive at 293 relevant papers. Each paper was critically analyzed and categorized into an attribute matrix. This matrix consisted of five categories, with each category having multiple attributes. The attributes of each paper, along with the summary of its contents formed the basis of the literature review that spanned 30 years . We characterize the maturation process of the research area from theoretical papers over practical implementations to more holistic and generic approaches, frameworks, and exemplars, applied to areas such as networking, web services, and robotics, with much of the recent work focusing on IoT and IaaS.

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Section: -2020 -The Last Decade -Second Halfmentioning

confidence: 99%

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Wong¹,

Wagner²

2021

Preprint

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“…Besides, ref. [ 20 ] proposed a system that updates the normal behavior data when a system is reconfigured. An algorithm based on suffix trees was developed in this case.…”

Section: Online Anomaly Detectionmentioning

confidence: 99%

Online Anomaly Detection System for Mobile Networks

Burgueño

de-la-Bandera

Mendoza

et al. 2020

Sensors

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The arrival of the fifth generation (5G) standard has further accelerated the need for operators to improve the network capacity. With this purpose, mobile network topologies with smaller cells are currently being deployed to increase the frequency reuse. In this way, the number of nodes that collect performance data is being further risen, so the number of metrics to be managed and analyzed is being highly increased. Therefore, it is fundamental to have tools that automatically inform the network operator of the relevant information within the vast amount of metrics collected. The continuous monitoring of the performance indicators and the automatic detection of anomalies is especially important for network operators to prevent the network degradation and user complaints. Therefore, this paper proposes a methodology to detect and track anomalies in the mobile networks performance indicators online, i.e., in real time. The feasibility of this system was evaluated with several performance metrics and a real LTE Advanced dataset. In addition, it was also compared with the performances of other state-of-the-art anomaly detection systems.

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Higuera-Toledano

Brinkschulte

Rettberg

2016

Concurrency and Computation

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The increasing complexity of contemporary embedded computing systems requires the use of selfmanagement in order to handle unforeseen changes in both hardware and application environments (i.e., hardware/software defects, resource changes, and non-continual feature usage). Moreover, often these systems are distributed, running on processor architectures with multiple cores, which may require self-organization to ensure efficiency and reliability. Real-time properties are another key issue in many complex systems. Adaptive and self-organized properties extent the area of operations and improves the efficiency of the system resources at the cost to introduce additional complexity, overhead, and resource requirements. Consequently, real-time adaptive systems must be careful analyzed, designed, and built taken into account the right tradeoffs between flexibility and complexity, while accomplishing time-constrains.The combination of the flexibility and uncertain behavior of self-organizing systems with timepredictability is a grand challenge. Therefore, substantial research has been done in the last years to address the so-called Self-X features (e.g., self-configuration, self-optimization, self-adaptation, selfhealing, and self-protection). This fact has as resutl that self-organizing computing systems become an established research nowadays as they promise to handle the increasing complexity resulting from highly distributed systems and ubiquitous applications. In addition, real-time properties are required in many areas (such as cyber physical systems) self-organizing computing systems are dealing with. Combining the flexible and and uncertain behavior of self-organizing systems with time-predictability necessary for real-time systems is a grand challenge.The Workshop on Self-Organizing Real-Time Systems (SORT) is specifically dedicated to research on adaptive real-time systems. SORT started 2014 as a workshop attached at International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC). The purpose of this workshop is to provide an open forum to discuss new and ongoing research that is centered on the idea of adaptability in real-time systems. The target audience includes researchers from academia, tool vendors, system suppliers, and users in industry who are interested in the all aspects of the topics mentioned below. This special issue of Concurrency and Computation: Practice and Experience contains four invited papers from the SORT 2014 workshop that has been expanded and carefully peer reviewed.The first paper, titled An Artificial DNA for , Uwe Brinkschulte proposes an approach to use an artificial DNA-based approach for embedded real-time and distributed systems. This kind of systems is growing more and more complex because of the increasing chip integration density, larger number of chips in distributed applications and demanding application fields (e.g., in cars and in households). Bio-inspired techniques like self-organization are a key feature to handle this complexity...

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Online behavior classification for anomaly detection in self‐x real‐time systems

Cited by 6 publications

References 32 publications

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Online Anomaly Detection System for Mobile Networks

Sort 2014

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