Although cryptographic technologies may ensure data security, processing encrypted data requires exchanging a secret key with a third party to perform data operations. Consequently, data privacy is violated. The full potential of any data-oriented application is realized only when it is possible to perform computations on encrypted data that has been outsourced. Different organizations’ data privacy and utility needs, tiny ones, necessitate painful trade-offs that may be deadly for firms and their customers. Compared to such outcomes, Homomorphic Encryption (HE) may give a unique answer to some of these trade-offs at a reasonable cost. It enables the content to be encrypted, and computations are done without revealing the secret key to others. It is increasingly being utilized in real-world applications, demanding a greater focus on implementation and security. In this study, we investigated Homomorphic encryption from various angles, including its different types, use cases, benefits, hurdles, and weaknesses, as well as various benefits, weaknesses, and attacks, such as side-channel attacks on Microsoft SEAL, a primary homomorphic encryption software library. #CSOC1120.