Role-based automatic programming framework for interworking a drone and wireless sensor networks

Min, Hong; Jung, Jinman; Kim, Seo-Yeon; Kim, Bongjae; Heo, Junyoung

doi:10.1145/3167132.3167432

Cited by 2 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, it is noted that a certain set of roles in the network can significantly improve its efficiency and help to reduce equipment costs and energy consumption. Hong et al propose a system of node roles, which consists of the following roles: nodes with no specifically assigned roles, nodes with actuators, an observer node and a coordinator node [6].…”

Section: Related Workmentioning

confidence: 99%

The Modeling and Detection of Attacks in Role-Based Self-Organized Decentralized Wireless Sensor Networks

Meleshko,

Desnitsky

2024

Telecom

View full text Add to dashboard Cite

This article discusses the modeling and detection of attacks in self-organizing decentralized wireless sensor networks (WSNs) that can be applied to various critical scenarios in practice. Security issues in this type of network have previously been studied to a rather poor extent. In particular, existing attack detection approaches and algorithms do not rely on the properties of self-organization and decentralization, which an attacker is able to exploit to compromise the network and its services. We propose, first, a model of a self-organizing decentralized wireless sensor network; second, a model of the attacks on such networks; third, algorithms for data collection and attack detection; and, finally, a technique for their application. The WSN model represents a formal specification of this type of network, defining the conditions and limitations of network self-organization and decentralization. The model is characterized by a proposed underlying role-based operation of network nodes and a set of their functional states. The proposed attack model covers the possible types of attacks that are relevant to a given type of WSN and are based on the exploitation of the self-organization and decentralization of the network. The developed algorithm for collecting data for attack detection presents specific types of data and their sources. The developed combined attack detection algorithm is formed of actions that detect relevant attacks on self-organizing decentralized WSNs using machine learning methods. The distinctive element of this algorithm is a set of highly specific features that are obtained by analyzing the data collected in the WSN and used to detect attacks. The proposed technique combines the constructed models and algorithms for the sake of tuning and deploying the attack detection module and the effective detection of attacks in practice. This technique specifies the main steps for the joint use of the models and algorithms and the assignment of data collection and detection parameters. The results of the experiments confirm the correctness of the constructed models, algorithms and technique due to the high values of the attack detection quality indicators. Therefore, the practical application of the proposed apparatus will facilitate improvements in the security of self-organizing decentralized WSNs. Experimental research has confirmed the practical applicability of our proposed solutions. In particular, it has shown that the proposed algorithms and the detection technique can detect both attacks implemented through the exploitation of the network’s properties of decentralization/self-organization and common variations in these attacks (i.e., without exploiting the decentralization property). In general, the experimental results expose a high quality of detection, with an f1-score equal to 0.99.

show abstract

Section: Related Workmentioning

confidence: 99%

The Modeling and Detection of Attacks in Role-Based Self-Organized Decentralized Wireless Sensor Networks

Meleshko,

Desnitsky

2024

Telecom

View full text Add to dashboard Cite

show abstract

“…To summarise, the answer to RQ1 is roughly the same as this SLM's previous version (Santana et al, 2021): most of the macroprogramming studies in WSN with an increasing focus shift to IoT since 2015, and a diversity of application domains with an apparent inclination to smart environments in the last years. S46 Role-based automatic programming framework for interworking a drone and wireless sensor networks (Min et al, 2018) S47 snBench: Programming and virtualization framework for distributed multitasking sensor networks (Ocean et al, 2006)…”

Section: About Research Questionmentioning

confidence: 99%

The state of the art of macroprogramming in IoT: An update

Sene

Santana

Bulcão-Neto

et al. 2022

JISA

View full text Add to dashboard Cite

Macroprogramming's primary goal is to increase developers' productivity by providing high-level specifications of applications' behaviour at the system level. Macroprogramming may be a viable solution for developing complex IoT applications, such as those manipulating high data volume and heterogeneity. This paper updates a recent work identifying and analysing primary research on macroprogramming in IoT through a systematic literature mapping (SLM). We extended the search strategy scope by conducting an automatic search over five new databases and also performed the snowballing technique. As a result, besides the 38 studies group found in previous SLM, nine new papers were classified as relevant and rigorously analysed, totalising forty-seven studies. In comparison to previous work, results still point out the recurrence of abstractions in the network infrastructure, highlighting the use of frameworks in one-third of the applications and contributing with an overview of macroprogramming by researchers in different knowledge areas.

show abstract

Role-based automatic programming framework for interworking a drone and wireless sensor networks

Cited by 2 publications

References 7 publications

The Modeling and Detection of Attacks in Role-Based Self-Organized Decentralized Wireless Sensor Networks

The Modeling and Detection of Attacks in Role-Based Self-Organized Decentralized Wireless Sensor Networks

The state of the art of macroprogramming in IoT: An update

Contact Info

Product

Resources

About