A distributed IDS architecture model for Smart Home systems

Gajewski, Mariusz; Batalla, Jordi Mongay; Mastorakis, George; Mavromoustakis, Constandinos X.

doi:10.1007/s10586-017-1105-z

Cited by 45 publications

(30 citation statements)

References 22 publications

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“…Implementation of security solutions is particularly difficult in smart home applications due to the considerably limited computing power of nodes, as well as the fact that most HAN networks are heterogonous [50]. That is why in many implementations of HAN networks there are a very large number of errors that allow to carry out the attacks mentioned in previous chapter.…”

Section: Counteractionmentioning

confidence: 99%

RETRACTED ARTICLE: Deployment of smart home management system at the edge: mechanisms and protocols

Batalla

Gonciarz

2018

Neural Comput & Applic

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Due to growing popularity of smart home systems, smart home security is a topic which is becoming increasingly important. Internet of Things (IoT) devices are obtaining increasing access to private data, but very often it does not mean that improved security mechanisms and mechanisms guaranteeing availability are implemented. The main problem is limited computing power and the limited memory of the nodes used in the network. Moreover, IoT systems are increasingly often managed through the cloud, which causes that their interfaces are available over the Internet. Another problem is the lack of expertise of users which can lead to configuration errors potentially causing data loss and hacker attacks. In this paper, we face up security and availability issues in smart homes and propose an edge-of-things solution that focuses on putting the management of the home at the edge. The management is controlled by the network operator in a similar way as occurs with current set-top-boxes for multimedia streaming at home. We propose an architecture for this system, implement the necessary modules and test it from the point of view of security and availability. The results show that the proposed edge-of-things solution is able to solve many of the challenges that current smart home applications present.

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Section: Counteractionmentioning

confidence: 99%

RETRACTED ARTICLE: Deployment of smart home management system at the edge: mechanisms and protocols

Batalla

Gonciarz

2018

Neural Comput & Applic

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“…Common network security mechanisms such as virtual private networks (VPNs) should be implemented for providing an encrypted link to the ISP. A distributed intrusion detection system (IDS) for IoT networks has to be deployed [ 61 ]. Furthermore, traffic collection and monitoring using commodity hardware and software can be deployed to build an early-warning system for detecting any abnormal behavior in the network traffic [ 33 , 34 ].…”

Section: Resultsmentioning

confidence: 99%

Cyber and Physical Security Vulnerability Assessment for IoT-Based Smart Homes

Ali

Awad

2018

Sensors

267

141

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The Internet of Things (IoT) is an emerging paradigm focusing on the connection of devices, objects, or “things” to each other, to the Internet, and to users. IoT technology is anticipated to become an essential requirement in the development of smart homes, as it offers convenience and efficiency to home residents so that they can achieve better quality of life. Application of the IoT model to smart homes, by connecting objects to the Internet, poses new security and privacy challenges in terms of the confidentiality, authenticity, and integrity of the data sensed, collected, and exchanged by the IoT objects. These challenges make smart homes extremely vulnerable to different types of security attacks, resulting in IoT-based smart homes being insecure. Therefore, it is necessary to identify the possible security risks to develop a complete picture of the security status of smart homes. This article applies the operationally critical threat, asset, and vulnerability evaluation (OCTAVE) methodology, known as OCTAVE Allegro, to assess the security risks of smart homes. The OCTAVE Allegro method focuses on information assets and considers different information containers such as databases, physical papers, and humans. The key goals of this study are to highlight the various security vulnerabilities of IoT-based smart homes, to present the risks on home inhabitants, and to propose approaches to mitigating the identified risks. The research findings can be used as a foundation for improving the security requirements of IoT-based smart homes.

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“…The second approach is where the sensor nodes detect intrusions alongside their normal operations. This approach involves the process of continuous self and neighbor inspection, and is discussed in [72], [84], [93], [127], [131], [137], [145]- [147]. In [135], the network is composed of an hierarchical structure, where the nodes are classified as free, leader, and member or associated nodes.…”

Section: ) On the Basis Of Placement Methodologymentioning

confidence: 99%

“…The advantage of this scheme is that to implement it, expensive equipment or technical knowledge is not required. • Hybrid -We find various works [46], [138]- [145] combining the signature and anomaly-based detection approaches, with the aim of reducing the memory overhead required to store signatures, together with the computational overhead required by anomaly-based techniques. To enhance accuracy, the final verification and decision on anomaly is taken manually.…”

Section: ) On the Basis Of Detection Techniquementioning

confidence: 99%

Towards a Secure Internet of Things: A Comprehensive Study of Second Line Defense Mechanisms

2020

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The Internet of Things (IoT) exemplifies a large network of sensing and actuating devices that have penetrated into the physical world enabling new applications like smart homes, intelligent transportation, smart healthcare and smart cities. Through IoT, these applications have consolidated in the modern world to generate, share, aggregate and analyze large amount of security-critical and privacy sensitive data. As this consolidation gets stronger, the need for security in IoT increases. With first line of defense strategies like cryptography being unsuited due to the resource constrained nature, second line of defense mechanisms are crucial to ensure security in IoT networks. This paper presents a comprehensive study of existing second line of defense mechanisms for standardized protocols in IoT networks. The paper analyzes existing mechanisms in three aspects: Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS) and Intrusion Response Systems (IRS). We begin by providing an overview of standardized protocol stack, its layers and defensive security systems in IoT. From there, we build our narrative by presenting an extended taxonomy of IDS, IPS and IRS classifying them on their techniques, deployment, attacks, datasets, evaluation metrics and data pre-processing methods. We then thoroughly review, compare and analyze the research proposals in this context, considering the unique characteristics involved in these systems. Based on the extensive analysis of the existing defensive security systems, the paper also identifies open research challenges and directions for effective design of such systems for IoT networks, which could guide future research in the area.

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A distributed IDS architecture model for Smart Home systems

Cited by 45 publications

References 22 publications

RETRACTED ARTICLE: Deployment of smart home management system at the edge: mechanisms and protocols

RETRACTED ARTICLE: Deployment of smart home management system at the edge: mechanisms and protocols

Cyber and Physical Security Vulnerability Assessment for IoT-Based Smart Homes

Towards a Secure Internet of Things: A Comprehensive Study of Second Line Defense Mechanisms

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