Shadi Aljawarneh

TL;DR: A new hybrid model can be used to estimate the intrusion scope threshold degree based on the network transaction data’s optimal features that were made available for training and revealed that the hybrid approach had a significant effect on the minimisation of the computational and time complexity involved when determining the feature association impact scale.

TL;DR: In this paper, the authors focus on e-learning from students' and instructors' perspectives on using and implementing elearning systems in a public university during the COVID-19 pandemic.

TL;DR: The architecture and evaluation of each automatics methods used to generate efficient and accurate signatures to create countermeasures against attacks by polymorphic worms, and the implementation used as patterns by SRE mechanism to extract accurate signatures are presented.

TL;DR: The developed encryption algorithm has higher Avalanche Effect and for instance, AES in the proposed system has an Avalanche Effect of %52.50, therefore, such system is able to secure the multimedia big data against real-time attacks.

TL;DR: This work evaluates the benefits of the blockchain (or distributed ledger) technology and advocates a decentralised model of confidence for transactions based on an academic crypto currency to eliminate once and for all the “gap” between the academic world and the working world.