DLFSR is promising for enhancing the security of stream ciphers. However, good inviolability and statistical properties of the DLFSR generator are only achievable when the parameters of the switching algorithm are properly selected. This paper describes a new experimental method for choosing suitable parameters for the algorithm of switching the polynomial in DLFSR. This method was used to enhance the Grain-128 stream cipher. The randomness of the modified Grain was evaluated using the NIST suite, and the results are encouraging. The modified Grain was also compared to the original, and the results indicated that the modified algorithm outperforms the original in several tests. arabic 12 English 82
Fayrouz Aljadi, Ibrahim Almerhag, Fardous Eljadi(3-2019)

This paper presents a genetic based approach to the partitioning and mapping of multicore SoC cores over a NoC system that uses mesh topology. The proposed algorithm performs the partitioning and mapping by reducing communication cost and minimizing power consumption by placing those intercommunicated cores as close as possible together. A program developed in C++ in which the provided specification of the multicore MPSoC system captures all data dependencies before any start of the design process. Experimental results of several multimedia benchmarks demonstrates that the genetic-based approach able to find different satisfied implementations to the problem of partitioning and mapping of MPSoC cores over mesh-based NoC system that satisfies design goals
Azeddien M. Sllame, Walid Mokthar Salh(2-2021)

Abstract: In this paper, we introduce our new design of mobile social app. This app can be used to trace the spread of Covid-19 among the app users while in social gathering. In the state of the art, we studied several existing social apps from around the world to trace/track Covid-19 and compare them with our new social app. In this comparisons, a number of parameters are defined to cover wide range of aspects related to current pandemic. These aspects covers existing of technologies (Cloud, Bluetooth, Mobile Device), governments (Support, Use, Enforcement), and app users ( Health, Social, Privacy). From the users prospective, the new design takes into account the effects of wearing masks have on lowering the rate and informing the user of the spread of the Covid-19 pandemic in their surrounding communities. From the development prospective, the new design was described without hassling with the platform details of app implementation. Our evaluation of the design support the development of a social app that adhere to existing technologies, government policies, and user trust.
Khaled BenHamed, Abdussalam Nuri Baryun(6-2021)