Multi-Layer IoT Security Framework for Ambient Intelligence Environments

Bica, Ion; Chifor, Bogdan-Cosmin; Arseni, Ștefan-Ciprian; Matei, Ioana

doi:10.3390/s19184038

Cited by 11 publications

(7 citation statements)

References 22 publications

(24 reference statements)

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“…For this to be achieved, the Naive Bayes network for a sensor consists of the following independent features: the correctness of the sensor output value and the response time from an IoT device when the respective sensor is queried. As we presented in [4], the data reputation score of a device (p) is based on the composition of these individual sensor reputation scores, each one updated only when the weighted satisfaction score (s) passes a defined threshold. Equation (1) presents the computation done for establishing the data reputation score of a device, while Equation (2) shows how the weighted satisfaction score is being calculated.…”

Section: Reputation Mechanismmentioning

confidence: 99%

“…The platform architecture was also one of our research topics of [4][5][6], but, while our previous work was focused more on the design of the platform, the current effort is focused on implementing and analyzing the challenges of deploying the system in a real environment. Having a gateway-centric architecture, RESFIT ensures minimal resource consumption at the device layer and good response time in detecting malfunctions or malicious actions.…”

Section: Introductionmentioning

confidence: 99%

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RESFIT: A Reputation and Security Monitoring Platform for IoT Applications

et al. 2021

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The fast-paced adoption of smart devices has changed the Internet of Things (IoT) landscape, leading to the growth of smart environments and inclusion in many aspects of our society. In IoT applications, data collected from sensors and mobile devices are aggregated, processed, and analyzed to extract useful information and develop intelligent services. If the collected data is not trustworthy due to the damage or malicious input of some sensors, the quality of the service will be impacted. For reliable data collection and mining, it is mandatory to define robust security and trust models, suitable for the IoT application context. In this paper, we propose RESFIT, a platform that implements a reputation-based trust mechanism and an advanced application level firewall to cope with the above mentioned issues. Having a gateway-centric architecture, the proposed platform ensures minimal resource consumption at the node layer, and an integrated overview and control of the system state, through the cloud component and smartphone management application.

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Section: Reputation Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

RESFIT: A Reputation and Security Monitoring Platform for IoT Applications

et al. 2021

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“…x ep , y e l , k e l ep ∈ {0, 1}, ∀e p ∈ A p , ∀e l ∈ A l (12) where ← − e p is the reverse arc of e p and constraint (10) indicates that the interdiction of an arc is effective for both directions. Constraint (11) is the resource constraint for the defender, where we use 2R as the resource limit because of the counting for both directions.…”

Section: Shortest Path Interdiction Problem In Logical-physical Networkmentioning

confidence: 99%

“…The great significance and vulnerability of IoT has inspired researchers to pay attention to the security protection of them. Recent literature has carried out relevant research on the security of IoT and other layered network systems from different perspectives [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Bi-Layer Shortest-Path Network Interdiction Game for Internet of Things

Yan

Xiao

Zhu

et al. 2020

Sensors

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Network security is a crucial challenge facing Internet-of-Things (IoT) systems worldwide, which leads to serious safety alarms and great economic loss. This paper studies the problem of malicious interdicting network exploitation of IoT systems that are modeled as a bi-layer logical–physical network. In this problem, a virtual attack takes place at the logical layer (the layer of Things), while the physical layer (the layer of Internet) provides concrete support for the attack. In the interdiction problem, the attacker attempts to access a target node on the logical layer with minimal communication cost, but the defender can strategically interdict some key edges on the physical layer given a certain budget of interdiction resources. This setting generalizes the classic single-layer shortest-path network interdiction problem, but brings in nonlinear objective functions, which are notoriously challenging to optimize. We reformulate the model and apply Benders decomposition process to solve this problem. A layer-mapping module is introduced to improve the decomposition algorithm and a random-search process is proposed to accelerate the convergence. Extensive numerical experiments demonstrate the computational efficiency of our methods.

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“…Growth in technology and computing power is continuously progressing and transforming the way societies connect to each other and to the physical world. The tendency to bring smartness to living and environments to make them more adaptive, autonomous and personalized to human needs, prepares the ground to smart worlds [1]. The Internet of Things (loT) is defined by the International Telecommunication Union (ITU) [2] and the European Research Cluster on the Internet of Things (IERC) [3] as a dynamic global network infrastructure with self-configuring capabilities based on standard and inter-operable communication protocols.…”

Section: Introductionmentioning

confidence: 99%

MCCM: An Approach for Connectivity and Coverage Maximization

Ghaddar¹,

Hatoum²,

Fadlallah³

et al. 2020

Future Internet

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The internet of Things (IoT) has attracted significant attention in many applications in both academic and industrial areas. In IoT, each object can have the capabilities of sensing, identifying, networking and processing to communicate with ubiquitous objects and services. Often this paradigm (IoT) using Wireless Sensor Networks must cover large area of interest (AoI) with huge number of devices. As these devices might be battery powered and randomly deployed, their long-term availability and connectivity for area coverage is very important, in particular in harsh environments. Moreover, a poor distribution of devices may lead to coverage holes and degradation to the quality of service. In this paper, we propose an approach for self-organization and coverage maximization. We present a distributed algorithm for “Maintaining Connectivity and Coverage Maximization” called M C C M . The algorithm operates on different movable devices in homogeneous and heterogeneous distribution. It does not require high computational complexity. The main goal is to keep the movement of devices as minimal as possible to save energy. Another goal is to reduce the overlapping areas covered by different devices to increase the coverage while maintaining connectivity. Simulation results show that the proposed algorithm can achieve higher coverage and lower nodes’ movement over existing algorithms in the state of the art.

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Multi-Layer IoT Security Framework for Ambient Intelligence Environments

Cited by 11 publications

References 22 publications

RESFIT: A Reputation and Security Monitoring Platform for IoT Applications

RESFIT: A Reputation and Security Monitoring Platform for IoT Applications

Bi-Layer Shortest-Path Network Interdiction Game for Internet of Things

MCCM: An Approach for Connectivity and Coverage Maximization

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