Utilização de symmetric searchable encryption e funções lambda para busca criptografada de logs na nuvem

Abstract

News about information leaks is common, which can cause financial losses to those responsible for storing the data, to repair the damage caused, but also losses to those who had their sensitive data exposed. By using encryption on data stored in the cloud, the risk to data security is reduced, but a new problem arises, which is how the user can consult or perform searches without putting the data security at risk, since at some point the data will be decrypted to be performed. Symmetric Searchable Encryption (SSE) emerged to meet this type of demand. However, when using SSE, there is great complexity and the need for high computational processing power, especially when we have a lot of data stored, becoming a time-consuming process, requiring a high-performance machine. A technology that is still little explored, but with great potential and that can assist in processing such as these, is Lambda Functions, used to execute codes without worrying about the infrastructure and paying only for the time of use. Therefore, in this work, a solution was implemented for searching encrypted data using SSE in computational resources of a Cloud Computing Environment used to store data and execute public applications (Cloud) and Lambda Functions, in order to verify the costs, its performance, comparing the results of the technology when applied to Recording relevant events in a computer system (logs)/security events, with the financial costs of a Virtual Machine (VM), to then verify the feasibility of using Lambda Functions in conjunction with SSE.