Toward an execution system for self-healing workflows in cyber-physical systems

Seiger, Ronny; Huber, Steffen; Schlegel, Thomas

doi:10.1007/s10270-016-0551-z

Cited by 58 publications

(22 citation statements)

References 46 publications

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“…The focus of our work specifically is the analysis of Security Information and Event Management (SIEM) [14]. SIEM systems perform real time correlation of the heterogeneous data collected from different sources and report threats, communication with botnets [15] [16] [17] [18], monitor business processes [19] [20], anomalous patterns [20] and, other kind of attacks [21] [22] in the organizational data. For real time correlation, SIEM makes use of complex event processing (CEP) systems.…”

Section: Introductionmentioning

confidence: 99%

Optimizing SIEM Throughput on the Cloud Using Parallelization

et al. 2016

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Processing large amounts of data in real time for identifying security issues pose several performance challenges, especially when hardware infrastructure is limited. Managed Security Service Providers (MSSP), mostly hosting their applications on the Cloud, receive events at a very high rate that varies from a few hundred to a couple of thousand events per second (EPS). It is critical to process this data efficiently, so that attacks could be identified quickly and necessary response could be initiated. This paper evaluates the performance of a security framework OSTROM built on the Esper complex event processing (CEP) engine under a parallel and non-parallel computational framework. We explain three architectures under which Esper can be used to process events. We investigated the effect on throughput, memory and CPU usage in each configuration setting. The results indicate that the performance of the engine is limited by the number of events coming in rather than the queries being processed. The architecture where 1/4th of the total events are submitted to each instance and all the queries are processed by all the units shows best results in terms of throughput, memory and CPU usage.

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Section: Introductionmentioning

confidence: 99%

Optimizing SIEM Throughput on the Cloud Using Parallelization

et al. 2016

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“…In Tajmajer et al (2016) there is a description of migrating aspects of the middleware to a proxy to enable support for smaller devices. PROtEUS PROtEUS is a process manager designed to support Cyber-Physical Systems (Seiger, Huber & Schlegel, 2016). It describes a middleware for complex self-healing processes.…”

Section: Non-secured Systemsmentioning

confidence: 99%

A survey of secure middleware for the Internet of Things

Fremantle

Scott

2017

PeerJ Computer Science

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The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper reviews the current literature on the challenges and approaches to security and privacy in the Internet of Things, with a strong focus on how these aspects are handled in IoT middleware. We focus on IoT middleware because many systems are built from existing middleware and these inherit the underlying security properties of the middleware framework. The paper is composed of three main sections. Firstly, we propose a matrix of security and privacy threats for IoT. This matrix is used as the basis of a widespread literature review aimed at identifying requirements on IoT platforms and middleware. Secondly, we present a structured literature review of the available middleware and how security is handled in these middleware approaches. We utilise the requirements from the first phase to evaluate. Finally, we draw a set of conclusions and identify further work in this area.

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“…In [32,41], the authors propose an approach that handle inconsistencies. This approach consists in verifying if the actual effect of an action, on an actuator, is equal to its expected effect, using data from sensors or other sources.…”

Section: Related Workmentioning

confidence: 99%

“…A possible solution to detect such a failure is to verify the actual effects of actions, using data from sensors. For this reason, the approach proposed in [32,41] is complementary to our approach.…”

Section: Related Workmentioning

confidence: 99%

Design framework for reliable and environment aware management of smart environment devices

Sylla

Louvel

Rutten

2017

J Internet Serv Appl

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A smart environment is equipped with numerous devices (i.e., sensors, actuators) that are possibly distributed over different locations (e.g., rooms of a smart building). These devices are automatically controlled to achieve different objectives related, for instance, to comfort, security and energy savings. Controlling smart environment devices is not an easy task. This is due to: the heterogeneity of devices, the inconsistencies that can result from communication errors or devices failure, and the conflicting decisions including those caused by environment dependencies. This paper proposes a design framework for the reliable and environment aware management of smart environment devices. The framework is based on the combination of the rule based middleware LINC and the automata based language Heptagon/BZR (H/BZR). It consists of: an abstraction layer for the heterogeneity of devices, a transactional execution mechanism to avoid inconsistencies and a controller that, based on a generic model of the environment, makes appropriate decisions and avoids conflicts. A case study with concrete devices, in the field of building automation, is presented to illustrate the framework.

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Toward an execution system for self-healing workflows in cyber-physical systems

Cited by 58 publications

References 46 publications

Optimizing SIEM Throughput on the Cloud Using Parallelization

Optimizing SIEM Throughput on the Cloud Using Parallelization

A survey of secure middleware for the Internet of Things

Design framework for reliable and environment aware management of smart environment devices

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