Optimized Implementation of Gift Cipher

The Internet of Things is an emerging area which deals with transfer of the data through the wired or wireless network. The prime thing that needs to be addressed in this is the security of the data that must be transferred within the optimized time limit. In this paper, throughput and time delay are need to be considered for the optimized data transfer and while concentrating on this, there is a possibility of allowing the data to be vulnerable to attacks. Security algorithms currently available may be adequate for the wired system and not as the same for wireless scenario. PRESENT cipher is a one of the popular cryptosystem used in wireless which falls under the light weight cryptography category. Gift cipher is an enhanced version of PRESENT cipher. Which aims that maximizing the throughput. In this, iteration structure used for encryption. This can still be improved and optimized in terms of increased data rate and reduced time delay. In this paper, implements the optimization technique of the existing GIFT cipher and throughput is considered as the performance metrics. Pipeline and sub-stage pipeline techniques are used for enhancing the architecture.

     

DNA-templated protein arrays for single-molecule imaging

Single-particle electron cryomicroscopy permits structural characterization of noncrystalline protein samples, but throughput is limited by problems associated with sample preparation and image processing. Three-dimensional density maps are reconstructed from high resolution but noisy images of individual molecules. We show that self-assembled DNA nanoaffinity templates can create dense, nonoverlapping arrays of protein molecules, greatly facilitating data collection. We demonstrate this technique using a G-protein-coupled membrane receptor, a soluble G-protein, and a signaling complex of both molecules.