Data Aggregation and Privacy Preserving Using Computational Intelligence

In today's smart world, the privacy protection of data is an important issue. Data distributed, reproduced, and disclosed with extensive use communication technologies. Many non-traditional challenges arise rapid increase IoT devices for system design implementation. However, security are main issues in IoT. With advanced technologies, illegal copy content can easily be generated shared. Therefore, it crucial users to protect secure their data. said perspective, efficient third-generation watermarking technique proposed, which works on computational intelligence model insert a large amount robust watermark make extra effort hide more information than first second-generation techniques. The Advanced Encryption Standard (AES) encryption algorithm employed guarantee communication, has significantly less cost. proposed evaluated parameters including security, robustness, imperceptibility, capacity. results compared existing text methods, illustrates secure, robust, imperceptible, inserts through intelligence.