Research on Dynamical Security Risk Assessment for the Internet of Things inspired by immunology

Liu, Caiming; Zhang, Yan; Zeng, Jinquan; Peng, Lingxi; Chen, Run

doi:10.1109/icnc.2012.6234533

Cited by 31 publications

(13 citation statements)

References 7 publications

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“…Some of the research that refers to security analyzes single IoT devices but does not look at IoT devices as a deployment problem. Liu et al [20] tried to solve the problem of assessing the risk of a single IoT device, by proposing a dynamical risk assessment method inspired by an artificial immune system. Zhang et al [47] and Roman et al [32] reviewed security issues in the IoT in terms of the security of each device.…”

Section: Related Work 31 Iot Device Deploymentmentioning

confidence: 99%

“…With respect to hardening IoT security, most prior research focuses on the security of individual IoT devices [20,32,47], the security of an IoT protocol [24,33,41,43,49], or the the security of a network that consists solely of IoT devices [12,16,39,46] (see Section 3.1 for more details). To the best our knowledge, there is no previous related research aimed at identifying the optimal (security risk-wise) deployment of devices within the physical space.…”

Section: Introductionmentioning

confidence: 99%

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Deployment optimization of IoT devices through attack graph analysis

Agmon

Shabtai

Puzis

2019

Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks

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The Internet of things (IoT) has become an integral part of our life at both work and home. However, these IoT devices are prone to vulnerability exploits due to their low cost, low resources, the diversity of vendors, and proprietary firmware. Moreover, short range communication protocols (e.g., Bluetooth or ZigBee) open additional opportunities for the lateral movement of an attacker within an organization. Thus, the type and location of IoT devices may significantly change the level of network security of the organizational network. In this paper, we quantify the level of network security based on an augmented attack graph analysis that accounts for the physical location of IoT devices and their communication capabilities. We use the depth-first branch and bound (DFBnB) heuristic search algorithm to solve two optimization problems: Full Deployment with Minimal Risk (FDMR) and Maximal Utility without Risk Deterioration (MURD). An admissible heuristic is proposed to accelerate the search. The proposed method is evaluated using a real network with simulated deployment of IoT devices. The results demonstrate (1) the contribution of the augmented attack graphs to quantifying the impact of IoT devices deployed within the organization on security, and (2) the effectiveness of the optimized IoT deployment. CCS CONCEPTS• Security and privacy → Distributed systems security; Mobile and wireless security.

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Section: Related Work 31 Iot Device Deploymentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deployment optimization of IoT devices through attack graph analysis

Agmon

Shabtai

Puzis

2019

Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks

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“…The risk assessment produces effective security approaches and gives enhancement of [84] already existing architectures and planning of security.…”

Section: ) Risk Assessmentmentioning

confidence: 99%

“…These encryption algorithms can be easily applied because of their less consumption of power. 7) Risk Assessment: Dynamical Risk Assessment technique provides confidentiality of data and avoiding security breaches in an IoT network [63]. It is essential for security perspective of IoT by discovering different types of threats to the network.…”

Section: ) Data Privacymentioning

confidence: 99%

A Comprehensive Analysis on the Security Threats and their Countermeasures of IoT

Ahmed¹,

Khan²,

Ahmed³

et al. 2017

ijacsa

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Abstract-Internet of Things referred as a pervasive network architecture which provides services to the physical world by processing and analyzing data. In this modern era Internet of Things has been shown much significance and rapidly developing by connecting heterogeneous devices with various technologies. By this way interconnectivity of large number of electronic devices connected with the IoT network leads the risk of security and confidentiality of data. This paper analyzes different security issues, their counter measures and discusses the future directions of security in IoT. Furthermore, this paper also discusses essential technologies of security like encryption in the scenario of IoT for the prevention of harmful threats in the light of latest research.

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“…It could help preventing the security breaches and determining the best security strategies. An example of it is the Dynamical Risk Assessment method for IoT [28].…”

Section: Risk Assessmentmentioning

confidence: 99%

A Critical Analysis on the Security Concerns of Internet of Things (IoT)

Farooq¹,

Waseem²,

Khairi³

et al. 2015

IJCA

276

204

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Internet of Things (IoT) has been a major research topic for almost a decade now, where physical objects would be interconnected as a result of convergence of various existing technologies. IoT is rapidly developing; however there are uncertainties about its security and privacy which could affect its sustainable development. This paper analyzes the security issues and challenges and provides a well defined security architecture as a confidentiality of the user's privacy and security which could result in its wider adoption by masses.

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Research on Dynamical Security Risk Assessment for the Internet of Things inspired by immunology

Cited by 31 publications

References 7 publications

Deployment optimization of IoT devices through attack graph analysis

Deployment optimization of IoT devices through attack graph analysis

A Comprehensive Analysis on the Security Threats and their Countermeasures of IoT

A Critical Analysis on the Security Concerns of Internet of Things (IoT)

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