A Huffman-Based Joint Compression and Encryption Scheme for Secure Data Storage Using Physical Unclonable Functions

With the developments of Internet Things (IoT) and cloud-computing technologies, cloud servers need storage a huge volume IoT data with high throughput robust security. Joint Compression Encryption (JCAE) scheme based on Huffman algorithm has been regarded as promising technology to enhance method. Existing JCAE schemes still have following limitations: (1) The keys in would be cracked by physical cloning attacks; (2) rebuilding tree reduces operational efficiency; (3) compression ratio should further improved. In this paper, Huffman-based using Physical Unclonable Functions (PUFs) is proposed. It provides physically secure PUFs, efficient mutation without rebuilding, practical combining Lempel-Ziv Welch (LZW) algorithm. performance instanced PUFs derived was evaluated. Moreover, our demonstrated file protection system average 473Mbps 0.5586. Finally, security analysis shows that resists attacks well several classic attacks, thus improving level existing methods.