Novel technological achievements in the fields of business intelligence, business management and data science are based on real-time and complex virtual networks. Sharing data between a large number of organizations that leads to a system with high computational complexity is one of the considerable characteristics of the current business networks. Discovery, conformance and enhancement of the business processes are performed using the generated event logs. In this regard, one of the overlooked challenges is privacy-preserving in the field of process mining in the industry. To preserve the data-privacy with a low computational complexity structure that is a necessity for the current digital business technology, a novel lightweight encryption method based on Haar transform and a private key is proposed in this paper. We compare the proposed method with the well-known homomorphic cryptosystem and Walsh- Hadamard encryption (WHE) in terms of cryptography, computational complexity and structure vulnerability. The analyses show that the proposed method anonymizes the event logs with the lower complexity and more accuracy compared with two aforementioned cryptosystems, significantly.

翻译：商业智能、商业管理及数据科学领域的新技术成果依赖于实时且复杂的虚拟网络。大量组织间的数据共享导致系统计算复杂度显著提升，这是当前商业网络的重要特征之一。业务过程的发现、合规性检查与优化依赖于生成的日志数据。然而，工业过程挖掘领域中隐私保护问题仍是易被忽视的挑战。为在低计算复杂度结构下保障数据隐私（这一需求对当前数字商业技术至关重要），本文提出了一种基于哈尔变换与私钥的新型轻量级加密方法。我们将该方法与著名的同态加密系统及沃尔什-哈达玛加密方法在密码学特性、计算复杂度和结构脆弱性方面进行了对比。分析表明，与上述两种密码系统相比，所提方法能以更低的复杂度和更高的精度对日志进行匿名化处理。