Log-Based Approach for Security Implementation in Cloud CRM’s Madhur Patidar and Pratosh Bansal 1 Introduction Customers are one of the most valuable assets for an organization. As a result, depen- dency on customers for an organization and developing customer’s trust becomes a key issue for a company’s business process. Not only retaining the existing customers but attracting new customers is also vital. So understanding the customer’s needs and customer satisfaction plays a crucial role. Hence, for increasing customer’s lifetime value with the organization and improving business processes, a proper understand- ing of the current business trends and keeping a track of customers association with an organization acts as an important metric. E-commerce is a similar process that deals with buying and selling of products, wherein the transactions are performed through the web which comprises many categories such as B2B, B2C, C2B, C2C, etc. Business-to-Consumer (B2C) is an important part of e-commerce, wherein the consumer is the final customer. Several techniques are developed so that the shoppers turn into buyers efficiently for an organization. B2C marketing has evolved over the time on account of knowing the audience in a better way, analyzing the online contents generated by users, building brand loyalty, etc. Also, these involving best practices for the promotion of products and services have many CRM solutions built for them. Customer Relationship Management (CRM) plays a vital role when it comes to keeping track of a company’s interactions with its customers and activities such as emails, website accessed, etc. It is mainly used for providing better services to the customers and helps the sales teams to work effectively and focused. One of the main benefits of CRM applications is that data from heterogeneous departments are M. Patidar (B ) · P. Bansal Department of Information Technology, IET, Devi Ahilya Vishwavidyalaya,Indore, MP, India e-mail: madhurpatidar15@gmail.com P. Bansal e-mail: pratosh@hotmail.com © Springer Nature Singapore Pte Ltd. 2019 R. K. Shukla et al. (eds.), Data, Engineering and Applications, https://doi.org/10.1007/978-981-13-6351-1_4 33