TY  - JOUR
AU  - Usama, Muhammad
AU  - Ahmad, Jawad
PY  - 2025
DA  - 2025/07/31
TI  - Joint Compression and Encryption of Virtual Machine Images Using LZMA and Chaotic Maps
JO  - ICCK Transactions on Information Security and Cryptography
T2  - ICCK Transactions on Information Security and Cryptography
JF  - ICCK Transactions on Information Security and Cryptography
VL  - 1
IS  - 1
SP  - 3
EP  - 12
DO  - 10.62762/TISC.2025.148753
UR  - https://www.icck.org/article/abs/TISC.2025.148753
KW  - chaos
KW  - compression
KW  - encryption
KW  - secure compression
KW  - compression and encryption
KW  - big binaries
KW  - virtual machines
AB  - The exponential growth in security and storage requirements has led to increasing demand for high-performance solutions, particularly in managing large-scale data objects such as big binaries. Virtual Machines (VMs), a prime example of such binaries, are widely employed across desktops and dynamic server environments to deliver isolated execution contexts while minimizing hardware overhead. However, the proliferation of big binaries imposes significant challenges on both storage infrastructure and secure data transmission mechanisms. To address these issues, this paper proposes a novel "Combined Big Binaries Compression and Encryption" (CBBCE) scheme that jointly performs compression and encryption in a unified framework. The proposed approach integrates Lempel–Ziv–Markov chain algorithm (LZMA) for efficient compression with a stream cipher-like encryption mechanism. A chaotic logistic map is employed as a key-controlled pseudorandom bitstream generator due to its high sensitivity to initial conditions, ergodicity, and long-period randomness. The compressed data stream is subsequently encrypted using this pseudorandom sequence to ensure confidentiality. Experimental evaluations demonstrate that the CBBCE approach achieves competitive compression ratios and enhanced security properties when compared to conventional sequential compression-then-encryption schemes. The proposed method is particularly well-suited for secure storage and transmission of large binary files, offering an effective trade-off between performance, security, and storage efficiency.
SN  - 3070-2429
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Usama2025Joint,
  author = {Muhammad Usama and Jawad Ahmad},
  title = {Joint Compression and Encryption of Virtual Machine Images Using LZMA and Chaotic Maps},
  journal = {ICCK Transactions on Information Security and Cryptography},
  year = {2025},
  volume = {1},
  number = {1},
  pages = {3-12},
  doi = {10.62762/TISC.2025.148753},
  url = {https://www.icck.org/article/abs/TISC.2025.148753},
  abstract = {The exponential growth in security and storage requirements has led to increasing demand for high-performance solutions, particularly in managing large-scale data objects such as big binaries. Virtual Machines (VMs), a prime example of such binaries, are widely employed across desktops and dynamic server environments to deliver isolated execution contexts while minimizing hardware overhead. However, the proliferation of big binaries imposes significant challenges on both storage infrastructure and secure data transmission mechanisms. To address these issues, this paper proposes a novel "Combined Big Binaries Compression and Encryption" (CBBCE) scheme that jointly performs compression and encryption in a unified framework. The proposed approach integrates Lempel–Ziv–Markov chain algorithm (LZMA) for efficient compression with a stream cipher-like encryption mechanism. A chaotic logistic map is employed as a key-controlled pseudorandom bitstream generator due to its high sensitivity to initial conditions, ergodicity, and long-period randomness. The compressed data stream is subsequently encrypted using this pseudorandom sequence to ensure confidentiality. Experimental evaluations demonstrate that the CBBCE approach achieves competitive compression ratios and enhanced security properties when compared to conventional sequential compression-then-encryption schemes. The proposed method is particularly well-suited for secure storage and transmission of large binary files, offering an effective trade-off between performance, security, and storage efficiency.},
  keywords = {chaos, compression, encryption, secure compression, compression and encryption, big binaries, virtual machines},
  issn = {3070-2429},
  publisher = {Institute of Central Computation and Knowledge}
}