SecureCore: A multicore-based intrusion detection architecture for real-time embedded systems

Yoon, Man-Ki; Mohan, Sibin; Choi, Jaesik; Kim, Jung-Eun; Sha, Lui

doi:10.1109/rtas.2013.6531076

Cited by 51 publications

(8 citation statements)

References 32 publications

(38 reference statements)

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“…Research studies on security detection techniques for industrial Internet-embedded systems have also yielded various results in the recent years. Reference [19] proposed a multicore-based detection architecture for real-time embedded systems, which is related to a novel monitoring technology. Te security of the real-time embedded system can be improved by analyzing and observing the inherent property of the real-time system, and detecting malicious activities through statistical analysis of its execution.…”

Section: Security Detection Methods For Embedded Systemsmentioning

confidence: 99%

Embedded Gateway Security Detection Technology Based on the Deep Neural Network Rule Extraction

Shi

Feng

2023

Security and Communication Networks

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Aiming at the network security problem of power system cable trench control industrial Internet system, we studied an intrusion detection method applied to the embedded industrial Internet of Things gateway. This method extracts rules from the DBN-DNN deep neural network to obtain intrusion detection models that are conducive to integration into embedded systems. We first use the DBN network to reduce the dimensionality of the data, then use the DNN to train the classification model, and extract the rules from the DNN’s neurons to form a rule tree for intrusion detection. The KDD CUP99 training database is used to verify the feasibility of the method, and the test is carried out in the embedded gateway. The results show that the detection method based on rule extraction used in this paper can ensure detection efficiency and accuracy compared to the traditional detection methods. At the same time, it saves more computing resources and is more conducive to integration in embedded gateway systems.

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Section: Security Detection Methods For Embedded Systemsmentioning

confidence: 99%

Embedded Gateway Security Detection Technology Based on the Deep Neural Network Rule Extraction

Shi

Feng

2023

Security and Communication Networks

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“…Although talking about hardware security is not very generic, there are some studies, such as [27]; in this work, the authors proposed a multi-core intrusion detection for embedded systems. They implemented a secure monitor that continuously monitors the execution behaviour of the controller, which works with an on-chip hardware unit called a timing trace module.…”

Section: Related Workmentioning

confidence: 99%

Secure Sensor Prototype Using Hardware Security Modules and Trusted Execution Environments in a Blockchain Application: Wine Logistic Use Case

et al. 2023

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The security of Industrial Internet of Things (IIoT) systems is a challenge that needs to be addressed immediately, as the increasing use of new communication paradigms and the abundant use of sensors opens up new opportunities to compromise these types of systems. In this sense, technologies such as Trusted Execution Environments (TEEs) and Hardware Security Modules (HSMs) become crucial for adding new layers of security to IIoT systems, especially to edge nodes that incorporate sensors and perform continuous measurements. These technologies, coupled with new communication paradigms such as Blockchain, offer a high reliability, robustness and good interoperability between them. This paper proposes the design of a secure sensor incorporating the above mentioned technologies—HSMs and a TEE—in a hardware device based on a dual-core architecture. Through this combination of technologies, one of the cores collects the data extracted by the sensors and implements the security mechanisms to guarantee the integrity of these data, while the remaining core is responsible for sending these data through the appropriate communication protocol. This proposed approach fits into the Blockchain networks, which act as an Oracle. Finally, to illustrate the application of this concept, a use case applied to wine logistics is described, where this secure sensor is integrated into a Blockchain that collects data from the storage and transport of barrels, and a performance evaluation of the implemented prototype is provided.

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“…[22] proposes an IDS for embedded automotive architectures. The use and implementation of IDS on multi-core architectures for real-time embedded systems is investigated in [23]. Some studies propose hybrid IDS to take advantage of both signature-based and anomaly-based techniques [24], [25].…”

Section: B Ids In Embedded Systemsmentioning

confidence: 99%

Anomaly Based Intrusion Detection for an Avionic Embedded System

Damien¹,

Fumey²,

Alata³

et al. 2018

SAE Technical Paper Series

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This paper firstly describes the challenges raised by the introduction of Intrusion Detection Systems (IDS) in avionic systems. In particular, we discuss some specific characteristics of such systems and the advantages and limitations of signature-based and anomalybased techniques in an avionics context. Based on this analysis, a framework is proposed to integrate a Host-based Intrusion Detection System (HIDS) in the general Integrated Modular Avionics (IMA) development process, which fits avionic systems constraints. The proposed HIDS architecture is composed of three modules: anomaly detection, attack confirmation, and alert sending. To demonstrate the efficiency of this HIDS, an attack injection module has also been developed. The overall approach is implemented on an IMA platform running a cockpit display function, to be representative of embedded avionic systems.

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SecureCore: A multicore-based intrusion detection architecture for real-time embedded systems

Cited by 51 publications

References 32 publications

Embedded Gateway Security Detection Technology Based on the Deep Neural Network Rule Extraction

Embedded Gateway Security Detection Technology Based on the Deep Neural Network Rule Extraction

Secure Sensor Prototype Using Hardware Security Modules and Trusted Execution Environments in a Blockchain Application: Wine Logistic Use Case

Anomaly Based Intrusion Detection for an Avionic Embedded System

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