TY - JOUR
T1 - Threats hidden in office network
T2 - Mechanism of credential harvesting for lateral movement
AU - Lee, Tung Lin
AU - Liu, I. Hsien
AU - Li, Chu Fen
AU - Li, Jung Shian
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology (MOST) in Taiwan under contract number MOST 110-2218-E-006-013-MBK.
Publisher Copyright:
© 2021 The Authors. Published by Atlantis Press International B.V.
PY - 2021
Y1 - 2021
N2 - With the advent of the Internet of Things (IoT) era, the concept of smart office has gradually come true. To facilitate the management, IoT devices often follow authentication mechanisms as windows domain used, which would cause severe problems once hackers steal those credentials. This study analyzes the restriction of previous research and proposes a new technique that could cause credential leaks and organizes an attack mechanism to evaluate the most suitable strategy in various scenarios.
AB - With the advent of the Internet of Things (IoT) era, the concept of smart office has gradually come true. To facilitate the management, IoT devices often follow authentication mechanisms as windows domain used, which would cause severe problems once hackers steal those credentials. This study analyzes the restriction of previous research and proposes a new technique that could cause credential leaks and organizes an attack mechanism to evaluate the most suitable strategy in various scenarios.
UR - https://www.scopus.com/pages/publications/85120688186
UR - https://www.scopus.com/pages/publications/85120688186#tab=citedBy
U2 - 10.2991/jrnal.k.210922.008
DO - 10.2991/jrnal.k.210922.008
M3 - Article
AN - SCOPUS:85120688186
SN - 2405-9021
VL - 8
SP - 193
EP - 196
JO - Journal of Robotics, Networking and Artificial Life
JF - Journal of Robotics, Networking and Artificial Life
IS - 3
ER -