A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things

Oh, Doohwan; Kim, Deokho; Ro, Won Woo

doi:10.3390/s141224188

Cited by 100 publications

(46 citation statements)

References 27 publications

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“…However, the attack pattern in the database should be updated over a period but is not illustrated in the paper. In [14], an attack pattern matching engine, with auxiliary shifting and early decision, is incorporated for better performance of constrained devices in IoT. The auxiliary shifting method avoids the matching operations to increase the computation efficiency.…”

Section: Signature-based Idsmentioning

confidence: 99%

Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Haripriya

Kulothungan

2019

J Wireless Com Network

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The advancements in the domain of Internet of Things (IoT) accelerated the development of new communication technologies. Machine to machine communication in IoT is accomplished with application protocols such as the Constrained Application Protocol and Message Queuing Telemetry Transport (MQTT). The openness of these protocols leads to various types of attacks including DoS Attack. MQTT is widely used in secure IoT applications like health monitoring. One of the prominent attacks in IoT is the denial of service (DoS) attack. This enforces the need for an efficient intrusion detection system method in MQTT-based application. In this paper, we address the vulnerabilities in MQTT, through which intruders can control the low-configuration devices in the network. This paper proposes a lightweight fuzzy logic-based intrusion detection scheme called Secure-MQTT, for detecting malicious activity during the communication between IoT devices. The proposed method uses a fuzzy logic-based system to detect the malicious behavior of the node with the help of a fuzzy rule interpolation mechanism. Secure-MQTT avoids the use of a dense rule base by exploiting the fuzzy rule interpolation that generates rules dynamically. The proposed method provides an effective mechanism to protect the low configuration devices from the DoS attack. The simulation results show that the proposed method detects the attacks more accurately when compared to the existing methods.

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Section: Signature-based Idsmentioning

confidence: 99%

Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Haripriya

Kulothungan

2019

J Wireless Com Network

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“…Oh et al [102] proposed a lightweight maliciouspattern-matching IDS. They stressed that traditional IDSs are not applicable for smart objects due to the limited memory size and battery life of these objects.…”

Section: Idss Designed For Iot Systemsmentioning

confidence: 99%

Intrusion detection systems for IoT-based smart environments: a survey

Elrawy¹,

2018

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One of the goals of smart environments is to improve the quality of human life in terms of comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a technology for building smart environments. Security and privacy are considered key issues in any real-world smart environment based on the IoT model. The security vulnerabilities in IoT-based systems create security threats that affect smart environment applications. Thus, there is a crucial need for intrusion detection systems (IDSs) designed for IoT environments to mitigate IoT-related security attacks that exploit some of these security vulnerabilities. Due to the limited computing and storage capabilities of IoT devices and the specific protocols used, conventional IDSs may not be an option for IoT environments. This article presents a comprehensive survey of the latest IDSs designed for the IoT model, with a focus on the corresponding methods, features, and mechanisms. This article also provides deep insight into the IoT architecture, emerging security vulnerabilities, and their relation to the layers of the IoT architecture. This work demonstrates that despite previous studies regarding the design and implementation of IDSs for the IoT paradigm, developing efficient, reliable and robust IDSs for IoT-based smart environments is still a crucial task. Key considerations for the development of such IDSs are introduced as a future outlook at the end of this survey.

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“…With the development of IoT applications, security remains the most important issue that cannot be ignored because of the connectivity and the sensitivity of the collected data. Also, the IoT has many restrictions and limitations in terms of components and devices such as limited processing capacity, memory, and power consumption, and even the heterogonous and the ubiquitous nature of IoT that introduce additional concerns [13]. The implementation of a security policy around these systems is therefore essential.…”

Section: Security In the Internet Of Thingsmentioning

confidence: 99%

A Machine Learning-Based Lightweight Intrusion Detection System for the Internet of Things

Fenanir¹,

Semchedine²,

Baadache³

2019

RIA

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The Internet of Things (IoT) is vulnerable to various attacks, due to the presence of tiny computing devices. To enhance the security of the IoT, this paper builds a lightweight intrusion detection system (IDS) based on two machine learning techniques, namely, feature selection and feature classification. The feature selection was realized by the filter-based method, thanks to its relatively low computing cost. The feature classification algorithm for our system was identified through comparison between logistic regression (LR), naive Bayes (NB), decision tree (DT), random forest (RF), k-nearest neighbor (KNN), support vector machine (SVM) and multilayer perceptron (MLP). Finally, the DT algorithm was selected for our system, owing to its outstanding performance on several datasets. The research results provide a guide on choosing the optimal feature selection method for machine learning.

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A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things

Cited by 100 publications

References 27 publications

Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Secure-MQTT: an efficient fuzzy logic-based approach to detect DoS attack in MQTT protocol for internet of things

Intrusion detection systems for IoT-based smart environments: a survey

A Machine Learning-Based Lightweight Intrusion Detection System for the Internet of Things

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