Chien-Ming Chen

Chien-Ming Chen


Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 January 2019 in IEEE Access
Verified
Journal Article
Open access
CCChien-Ming Chen
Chien-Ming Chen
BXBin Xiang
Bin Xiang
YLYining Liu
Yining Liu
KWKing-Hang Wang
King-Hang Wang
A vehicular ad hoc network (VANET) allows for vehicles on roads to form a self-organized network and broadcast messages among them. However, as data are transmitted in an insecure network, it is essential to use an authentication mechanism to protect the privacy of vehicle users. Recently, Ying et al. proposed an authentication protocol for secure vehicular networks and claimed that the protocol could resist various attacks. Unfortunately, we discovered that their protocol suffered from an offline identity guessing attack, location spoofing attack, and replay attack, and consumed a considerable amount of time for authentication. To resolve these shortcomings, we propose an improved protocol. In addition, we provide a formal proof to the proposed protocol to demonstrate that our protocol is indeed secure. Compared with previous methods, the proposed protocol performs better in terms of security and performance.

1 January 2020 in Future Generation Computer Systems
Verified
Journal Article
Closed access
EWEric Ke Wang
Eric Ke Wang
ZLZuodong Liang
Zuodong Liang
CCChien-Ming Chen
Chien-Ming Chen
SKSaru Kumari
Saru Kumari
MKMuhammad Khurram Khan
Muhammad Khurram Khan

10 September 2018 in Journal of Ambient Intelligence and Humanized Computing
Verified
Journal Article
Closed access
PDF file
CCChien-Ming Chen
Chien-Ming Chen
KWKing-Hang Wang
King-Hang Wang
Kuo-Hui YehKuo-Hui Yeh
Kuo-Hui Yeh
BXBin Xiang
Bin Xiang
TWTsu-Yang Wu
Tsu-Yang Wu

1 July 2020 in Future Generation Computer Systems
Verified
Journal Article
Closed access
EWEric Ke Wang
Eric Ke Wang
CCChien-Ming Chen
Chien-Ming Chen
MHMohammad Mehedi Hassan
Mohammad Mehedi Hassan
AAAhmad Almogren
Ahmad Almogren

10 January 2020 in Enterprise Information Systems
Verified
Journal Article
Closed access
CCChien-Ming Chen
Chien-Ming Chen
YHYanyu Huang
Yanyu Huang
KWKing-Hang Wang
King-Hang Wang
SKSaru Kumari
Saru Kumari
MWMu-En Wu
Mu-En Wu
Fog computing architecture is used in various environments such as smart manufacturing, vehicular ad hoc networks. However, as an extension of cloud computing, inheriting security challenges of cloud computing is inevitable. Recently, Jia et al. proposed an authenticated key exchange scheme for fog-driven IoT health care systems. Unfortunately, we discovered their scheme is vulnerable to an ephemeral secret leakage attack. In this paper, we propose an authenticated key exchange scheme for fog computing. Compared with previous schemes, our proposed scheme performs better in terms of performance and security.

13 August 2020 in IEEE Transactions on Intelligent Transportation Systems
Verified
Journal Article
Closed access
PWPeng Wang
Peng Wang
CCChien-Ming Chen
Chien-Ming Chen
SKSaru Kumari
Saru Kumari
Mohammad ShojafarMohammad Shojafar
Mohammad Shojafar
RTRahim Tafazolli
Rahim Tafazolli
YLYining Liu
Yining Liu
The fifth-generation (5G) mobile communication technology with higher capacity and data rate, ultra-low device to device (D2D) latency, and massive device connectivity will greatly promote the development of vehicular ad hoc networks (VANETs). Meantime, new challenges such as security, privacy and efficiency are raised. In this article, a hybrid D2D message authentication (HDMA) scheme is proposed for 5G-enabled VANETs, in which a novel group signature-based algorithm is used for mutual authentication between vehicle to vehicle (V2V) communication. In addition, a pre-computed lookup table is adopted to reduce the computation overhead of modular exponentiation operation. Security analysis shows that HDMA is robust to resist various security attacks, and performance analysis also points out that, the authentication overhead of HDMA is more efficient than some traditional schemes with the help of the pre-computed lookup table in V2V and vehicle to infrastructure (V2I) communication.