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High Secure Mobile Operating System Based on a New Mobile Internet Device Hardware Architecture
Gengxin Sun,Sheng Bin 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.1
Mobile Internet as a new information and communication technology is growing fast. The security challenges facing from the Mobile Internet come from the mobile devices and access networks. A new Mobile Internet device architecture is proposed in this paper. Focusing on the characteristics of the new architecture, a high secure operating system with internal network structure is designed. There are two sub-kernels in the secure operating system, an inter-kernel data transmission protocol is implemented for communicating between two sub-kernels, which is connection-oriented and can provide reliable peer-to-peer connectivity. In this paper, we proposed the data transmission protocol implementation procedure and analyze protocol transmission efficiency.
A High Security Architecture for LTE Core Network Server
Gengxin Sun,Sheng Bin,Yixin Zhou 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.11
With the expansion of wireless network technologies and the emergence of novel mobile applications, the 3rd Generation (3G) communication is moving to the 4th Generation (4G) communication. Comparing to preceding versions, one elementary difference is that 4G wireless networks will operate entirely on the TCP/IP, which would cause greater risks in terms of safety and reliability. In this paper, a new high security architecture for Long Term Evolution (LTE) core network server is proposed and designed. There are asynchronous array of simple processors and two physically isolated high-speed system buses in the security architecture, which ensure only one bus can be connected to array of processors at the same time. Experiment results show that the security architecture can effectively prevent external threats from accessing network resources.
Gengxin Sun,Sheng Bin,Yixin Zhou 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.5
Online social networks such as Twitter and Facebook are becoming popular form of social information networks. There are frequently many kinds of relationships in an online social network. Complex Network acting as one kind of big data technologies is often used to analyze users' social activities. By studying the Douban network, which is a representative multi-relationship online social network in China, big data of friendship relationship and book comments similar relationship are crawled through network topology measurement software, from the perspective of topological characteristics of complex network, the basic topologies of the two relationship networks constructed individually by the two relationships are analyzed. Based on these, a multi-relationship online social network based on Multi-subnet Composited Complex Network Model is constructed through loading book comments similar relationship subnet to follower relationship subnet, and accurate understanding of topologies of Douban multi-relationship network is obtained. These findings provide a deep understanding on the evolution of multi-relationship online social network, and can provide guidelines on how to build an efficient multi-relationship online social network evolution model.
Tag-Based Interest-Matching Users Discovery Approach in Online Social Network
Sheng Bin,Gengxin Sun,Peijian Zhang,Yixin Zhou 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.5
With the popularity of online social networks, such as Facebook, YouTube and Douban, have become a channel for fast information propagation and influence. The problem of discovering common interests shared by groups of users has become one of the central researches because it helps to connect users with common interests and can eventually influence as many users with common interests in the online social network as possible. Unfortunately, most of existing related works have only focused on the network topologies and so unable to identify the common interests of users who have no online connections. In an online social network, users tend to use descriptive tags to annotate the contents that they are interested in. User-generated tags are consistent with the content they are attached to. Thus, patterns of frequent co-occurrences of user tags can be used to characterize and capture topics of user interests. In this paper, we propose a novel common interests discovery approach based on user-generated tags to discover the set of interest-matching users whose interests are similar. The experiment results show that our approach can effectively discover user communities with common interests no matter if they have any online connections.
An Opinion Leaders Detecting Algorithm in Multi-relationship Online Social Networks
Weihua Zhang,Gengxin Sun,Sheng Bin 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.5
Opinion leaders in online social networks are important for a lot of applications in various fields such as public opinion propagation, marketing management, administrative science and even politics. There are often many kinds of relationships in an online social network. Detecting and identifying opinion leaders depending on any one kind of relationship is all accurate. In this paper, node importance analysis in multi-relationship online social network was proposed based on signaling spreading, and considering the characteristics of multiple relationships which would interrelate with each other. Through node importance, a novel opinion leaders detecting algorithm is proposed and approved to be efficient by experiments described in the paper.
A Novel Task Communication and Scheduling Algorithm for NoC-based MPSoC
Weihua Zhang,Gengxin Sun,Sheng Bin 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.10
With the high performance demand, recent embedded systems are mostly based on NoC (Network-on-Chip) architectures, which would bring complex on-chip communication and scheduling problems. In this paper, a novel task scheduling algorithm which statically schedules both communication transactions and computation tasks onto heterogeneous NoC architectures under real-time constraints is presented. Our algorithm is capable of assigning tasks onto different processing elements (PE) automatically and scheduling their execution. We map tasks onto an 8× 8 NoC-based MPSoC to show that our scheduling algorithm leads to reduction in the total execution time, energy consumption. Experimental results show that for a multimedia application, more than 40% energy savings have been observed compared to the schedules generated by a standard scheduler.