Dingju Zhu

Dingju Zhu

The current approach of information hiding based on deep learning model can not directly use the original data as carriers, which means the approach can not make use of the existing data in big data to hiding information. We proposed a novel method of information hiding in big data based on deep learning. Our method uses the existing data in big data as carriers and uses deep learning models to hide and extract secret messages in big data. The data amount of big data is unlimited and thus the data amount of secret messages hided in big data can also be unlimited. Before opponents want to extract secret messages from carriers, they need to find the carriers, however finding out the carriers from big data is just like finding out a box from the sea. Deep learning models are well known as deep black boxes in which the process from the input to the output is very complex, and thus the deep learning model for information hiding is almost impossible for opponents to reconstruct. The results also show that our method can hide secret messages safely, conveniently, quickly and with no limitation on the data amount.

Aftab Ahmed Chandio, Dingju Zhu, Ali Hassan Sodhro et al.

As educational institutions and their departments rapidly increase, a communication between their end-users becomes more and more difficult in traditional online management systems (OMS). However, the end-users, i.e., employees, teaching staff, and students are associated to different sub-domains and using different subsystems that are executed on different platforms following different administrative policies. Because of their intercommunication is not automated integrated, consequently, the overall efficiency of the system is degraded and the communication time is increased. Therefore, a technique for better interoperability and automated integration of departments is an urgent needed. Many of existing systems does not have a set of connections yet, such as the system of the University of Sindh (UoS). In this paper, we propose a system for the UoS, named integration of inter-connectivity of information system (i3) based on service oriented architecture (SOA) with web services. The system i3 monitors and exchanges the students information in support of verification along heterogeneous and decentralized nature. Moreover, the proposed system provides capability of interoperability between their subsystems that are deployed in different departments of UoS and using different programming languages and database management systems (DBMS)

Aftab Ahmed Chandio, Dingju Zhu, Ali Hassan Sodhro

The growth and development of institutions day by day especially universities are increasing very large number of peoples including employees as well as students, working on different domain in distance between multiple integrated institutes, and degrading the overall efficiency of system that cannot facilitate better interoperability and automated integration. In many universities, exist system does not have yet set of connections, in spite of the fact they have different systems running on different platforms in different administrative units or departments. University of Sindh (UoS) is the one of them. In this paper we discuss about Integration of Inter-Connectivity of Information System (i3) in the UoS which is based on Service Oriented Architecture with web services. The proposed system (i3) can monitor and exchange students information in support of verification along heterogeneous and decentralized nature, and provide capability of interoperability in the place of already deployed system in the UoS using different Languages as well as Databases.