Gang Dai
Research Subjects
Gang Dai has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Changda Wang
National Synchrotron Radiation Laboratory, State Key Laboratory of Precision and Intelligent Chemistry, School of Nuclear Science and Technology, University of Science and Technology of China, Hefei 230029, Anhui, China
1 shared publication - Jian Chen
School of Computer Science & Communication Engineering, Jiangsu University, Zhenjiang 212013, China
1 shared publication - Tianning Li
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
1 shared publication - Xing Zhang
School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China
1 shared publication
Latest Publications
- Open Access
LILP: A Lightweight Enciphering Algorithm to Encrypt Arbitrary-Length Messages
The advancement of the Internet of Things (IoT) has promoted the development of embedded devices. It is important to ensure data transmission security on embedded devices with limited computing power and storage space. However, the traditional block encryption algorithm cannot run efficiently on embedded devices because of the large amount of computation. In this paper, a lightweight length-preserving-encryption algorithm (LILP) is proposed to convert an n-bit block cipher into a special block cipher that supports an arbitrary length of no less than 2n bits as input. LILP adopts the involution design method based on a Lai–Massey structure and lightweight components to adapt to the limited computing power of embedded devices. In particular, a lightweight compression function (LCF) is designed to process the data during iteration, which improves security without reducing the efficiency of the algorithm. The experimental results show that LILP is more efficient than traditional similar algorithms in encrypting data for resource-constrained devices while ensuring data security in the IoT.
Open AccessLILP: A Lightweight Enciphering Algorithm to Encrypt Arbitrary-Length Messages
The advancement of the Internet of Things (IoT) has promoted the development of embedded devices. It is important to ensure data transmission security on embedded devices with limited computing power and storage space. However, the traditional block encryption algorithm cannot run efficiently on embedded devices because of the large amount of computation. In this paper, a lightweight length-preserving-encryption algorithm (LILP) is proposed to convert an n-bit block cipher into a special block cipher that supports an arbitrary length of no less than 2n bits as input. LILP adopts the involution design method based on a Lai–Massey structure and lightweight components to adapt to the limited computing power of embedded devices. In particular, a lightweight compression function (LCF) is designed to process the data during iteration, which improves security without reducing the efficiency of the algorithm. The experimental results show that LILP is more efficient than traditional similar algorithms in encrypting data for resource-constrained devices while ensuring data security in the IoT.