HEliOS: huffman coding based lightweight encryption scheme for data transmission

HEliOS: huffman coding based lightweight encryption scheme for data transmission
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DOI:
10.1145/3360774.3360829
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发表时间:
2019-11
期刊:
Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
影响因子:
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通讯作者:
Mazharul Islam;Novia Nurain;M. Kaykobad;Sriram Chellappan;A. Islam
Mazharul Islam;Novia Nurain;M. Kaykobad;Sriram Chellappan;A. Islam
中科院分区:
其他
文献类型:
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作者:
Mazharul Islam;Novia Nurain;M. Kaykobad;Sriram Chellappan;A. Islam

文献摘要

相似文献

对智能设备之间快速数据共享的需求正在迅速增长。这一趋势为确保在线共享数据的基本安全,同时将资源使用保持在合理水平带来了挑战。现有的研究试图利用基于压缩的加密来实现这种安全和快速的数据传输,以取代传统的资源密集型加密方案。目前基于压缩的加密方法主要集中在错误不敏感的数字数据格式上,容易受到不同的攻击。为此,本文提出并实现了一种基于轻量级动态顺序统计树(Helios)的哈夫曼压缩加密方案。Helios的核心思想是基于一种新的霍夫曼编码概念找到一种安全的编码方法,该编码使用一个小尺寸的“秘密”(在我们的研究中称为Secret_Intelligence)来压缩给定的数字数据。Helios这样做的方式是,如果没有秘密情报的拥有,攻击者将无法解码编码的压缩数据。因此,通过只对小规模的情报进行加密,我们可以保护整个压缩数据。此外,我们对个人云存储Dropbox服务器下载和上传数字数据的严格真实实验评估验证了Helios的有效性和轻量级特性。
Demand for fast data sharing among smart devices is rapidly increasing. This trend creates challenges towards ensuring essential security for online shared data while maintaining the resource usage at a reasonable level. Existing research studies attempt to leverage compression based encryption for enabling such secure and fast data transmission replacing the traditional resource-heavy encryption schemes. Current compression-based encryption methods mainly focus on error insensitive digital data formats and prone to be vulnerable to different attacks. Therefore, in this paper, we propose and implement a new Huffman compression based Encryption scheme using lightweight dynamic Order Statistic tree (HEliOS) for digital data transmission. The core idea of HEliOS involves around finding a secure encoding method based on a novel notion of Huffman coding, which compresses the given digital data using a small sized "secret" (called as secret_intelligence in our study). HEliOS does this in such a way that, without the possession of the secret intelligence, an attacker will not be able to decode the encoded compressed data. Hence, by encrypting only the small-sized intelligence, we can secure the whole compressed data. Moreover, our rigorous real experimental evaluation for downloading and uploading digital data to and from a personal cloud storage Dropbox server validates efficacy and lightweight nature of HEliOS.