Service Robot Security from Unauthorized Access by Connection Control

Жукова, М Н; Zolotarev, Vyacheslav V.; Жуков, В Г; Polyakova, A S

doi:10.1109/dese.2019.00102

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Strong authentication mechanisms should be used to increase the security of service robots [43]. It is essential to make sure that these robots are only accessible to those who are allowed.…”

Section: ) Authenticationmentioning

confidence: 99%

Secure Cloud-Connected Robot Control using Private Blockchain

Fauzi,

Saad,

Haris

et al. 2023

IJACSA

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With the increasing demand for remote operations and the challenges posed during the COVID-19 pandemic, industries across various sectors, including logistics, manufacturing, and education, have adopted virtual solutions. Cloud-based robot control has emerged as a viable approach for enabling safe remote operation of robots. However, along with the benefits, there are also risks associated with cloud-based robots. In this study, a secure cloud-based robot control system using a blockchain system was developed. The robot utilizes supervisory control to navigate via the internet. The communication system of the robot relies on the ThingsSentral cloud-based IoT platform; enabling communication between the user via a GUI developed using Python Tkinter and the local robot over the internet. To facilitate internet communication, the robot in this study incorporates an ESP32 microcontroller, which provides a low-cost and low-power system capable of connecting to Wi-Fi. However, cloud-based control systems are susceptible to cyberattacks, prompting the use of blockchain cybersecurity in this study to mitigate the risks. The data sent by the supervisor is stored within a private blockchain developed using Python, simultaneously being transmitted to the cloud platform. The developed security system addresses the risks associated with cloud-based robot control systems, such as data tampering and unauthorized misuse, by leveraging the Proof of Work (PoW) and hashing mechanisms.

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Section: ) Authenticationmentioning

confidence: 99%

Secure Cloud-Connected Robot Control using Private Blockchain

Fauzi,

Saad,

Haris

et al. 2023

IJACSA

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show abstract

“…The legal service robot jointly developed by Jiangsu Provincial People's Procuratorate and Kevos Electric Co., Ltd. integrates procuratorial business with arti cial intelligence technologies such as face recognition and voice interaction, and enhances the interactivity and convenience of the judicial information service platform (Zhukova M N, 2019) [3] . These studies have enhanced the role of legal services in preventing and resolving public risks, further promoted the effective development of social governance, and actively prevented and resolved social public risks.…”

Section: Introductionmentioning

confidence: 99%

Design of intelligent legal text analysis and information retrieval system based on BERT model

Li,

Wang

2023

Preprint

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The amalgamation of information retrieval systems and soft computing techniques establishes a robust framework to confront the challenges and seize the opportunities presented by the vast expanse of big data. As the volume, diversity, and velocity of data continue to proliferate, further advancements in this domain are poised to significantly contribute to various realms, encompassing healthcare, finance, e-commerce, and scientific research, ultimately propelling innovation and facilitating decision-making in the epoch of big data. The application of artificial intelligence (AI) technology to the analysis and comprehension of legal documents holds the potential to expedite the acquisition of case-specific information by legal researchers, thereby expediting their research endeavors. This paper proposes a legal text analysis and retrieval model, rooted in the Bleem model (Bert-based Legal Paper's Element Extracting Model). Initially, our model employs Bert as the coding layer to extract the semantic information embedded within document sentences and element exemplars. Subsequently, we leverage the Attention mechanism to align the semantic essence of element example sentences with document sentences, while simultaneously computing their respective attention weights. Comparative experiments and attention visualization are then employed to validate the efficacy of the Bleem model. The experimental results corroborate the superiority of the Bleem model in terms of accuracy and F1 scores. The visualization of the attention mechanism effectively reveals the inner workings of the Bleem model and unveils its capacity to explore pertinent fragments within document sentences and element examples. Building upon the aforementioned model, we have devised an intelligent legal text analysis and retrieval system, empowering legal researchers to swiftly acquire pivotal data through case briefs. This application has effectively fostered the integration of legal services within the holistic management of public risks.

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Service Robot Security from Unauthorized Access by Connection Control

Cited by 2 publications

References 9 publications

Secure Cloud-Connected Robot Control using Private Blockchain

Secure Cloud-Connected Robot Control using Private Blockchain

Design of intelligent legal text analysis and information retrieval system based on BERT model

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