Threats hidden in employee workstation through office files

Tung Lin Lee; I-Hsien Liu; Jung Shian Li

Threats hidden in employee workstation through office files

Tung Lin Lee, I-Hsien Liu, Jung Shian Li

Research output: Contribution to journal › Conference article › peer-review

Abstract

With the advent of the Internet of Things era, IoT devices participate in our work environment. From printers, shared files to temperature control, they make our working environment more convenient. Although these IoT devices communicate through different communication protocols, the same identity verification method is often used., hackers can also use this authentication method to steal user identity verification information, This study combines past research results to present our new findings, and further, organize them into a complete attack architecture.

Original language	English
Pages (from-to)	425-428
Number of pages	4
Journal	Proceedings of International Conference on Artificial Life and Robotics
Volume	2021
Publication status	Published - 2021
Event	26th International Conference on Artificial Life and Robotics, ICAROB 2021 - Beppu, Oita, Japan Duration: 2021 Jan 21 → 2021 Jan 24

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Vision and Pattern Recognition
Hardware and Architecture
Information Systems
Control and Systems Engineering
Electrical and Electronic Engineering
Modelling and Simulation

Cite this

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title = "Threats hidden in employee workstation through office files",

abstract = "With the advent of the Internet of Things era, IoT devices participate in our work environment. From printers, shared files to temperature control, they make our working environment more convenient. Although these IoT devices communicate through different communication protocols, the same identity verification method is often used., hackers can also use this authentication method to steal user identity verification information, This study combines past research results to present our new findings, and further, organize them into a complete attack architecture.",

author = "Lee, {Tung Lin} and I-Hsien Liu and Li, {Jung Shian}",

note = "Funding Information: This work was supported by the Ministry of Science and Technology (MOST) in Taiwan under contract numbers MOST 109-2218-E-006-014-and MOST 109-2218-E-006-510-. Publisher Copyright: {\textcopyright} The 2021 International Conference on Artificial Life and Robotics (ICAROB2021).; 26th International Conference on Artificial Life and Robotics, ICAROB 2021 ; Conference date: 21-01-2021 Through 24-01-2021",

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journal = "Proceedings of International Conference on Artificial Life and Robotics",

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TY - JOUR

T1 - Threats hidden in employee workstation through office files

AU - Lee, Tung Lin

AU - Liu, I-Hsien

AU - Li, Jung Shian

N1 - Funding Information: This work was supported by the Ministry of Science and Technology (MOST) in Taiwan under contract numbers MOST 109-2218-E-006-014-and MOST 109-2218-E-006-510-. Publisher Copyright: © The 2021 International Conference on Artificial Life and Robotics (ICAROB2021).

PY - 2021

Y1 - 2021

N2 - With the advent of the Internet of Things era, IoT devices participate in our work environment. From printers, shared files to temperature control, they make our working environment more convenient. Although these IoT devices communicate through different communication protocols, the same identity verification method is often used., hackers can also use this authentication method to steal user identity verification information, This study combines past research results to present our new findings, and further, organize them into a complete attack architecture.

AB - With the advent of the Internet of Things era, IoT devices participate in our work environment. From printers, shared files to temperature control, they make our working environment more convenient. Although these IoT devices communicate through different communication protocols, the same identity verification method is often used., hackers can also use this authentication method to steal user identity verification information, This study combines past research results to present our new findings, and further, organize them into a complete attack architecture.

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M3 - Conference article

AN - SCOPUS:85108852797

SN - 2435-9157

VL - 2021

SP - 425

EP - 428

JO - Proceedings of International Conference on Artificial Life and Robotics

JF - Proceedings of International Conference on Artificial Life and Robotics

T2 - 26th International Conference on Artificial Life and Robotics, ICAROB 2021

Y2 - 21 January 2021 through 24 January 2021

ER -

Threats hidden in employee workstation through office files

Abstract

All Science Journal Classification (ASJC) codes

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