Visible to the public Biblio

Filters: Keyword is data layer  [Clear All Filters]
2020-09-21
Zhang, Bing, Zhao, Yongli, Yan, Boyuan, Yan, Longchuan, WANG, YING, Zhang, Jie.  2019.  Failure Disposal by Interaction of the Cross-Layer Artificial Intelligence on ONOS-Based SDON Platform. 2019 Optical Fiber Communications Conference and Exhibition (OFC). :1–3.
We propose a new architecture introducing AI to span the control layer and the data layer in SDON. This demonstration shows the cooperation of the AI engines in two layers in dealing with failure disposal.
2020-08-28
Zhou, Xiaojun, Lin, Ping, Li, Zhiyong, Wang, Yunpeng, Tan, Wei, Huang, Meng.  2019.  Security of Big Data Based on the Technology of Cloud Computing. 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE). :703—7033.
To solve the problem of big data security and privacy protection, and expound the concept of cloud computing, big data and the relationship between them, the existing security and privacy protection method characteristic and problems were studied. A reference model is proposed which is based on cloud platform. In this model the physical level, data layer, interface layer and application layer step by step in to implement the system security risk early warning and threat perception, this provides an effective solution for the research of big data security. At the same time, a future research direction that uses the blockchain to solve cloud security and privacy protection is also pointed out.
2020-03-23
Rathore, Heena, Samant, Abhay, Guizani, Mohsen.  2019.  A Bio-Inspired Framework to Mitigate DoS Attacks in Software Defined Networking. 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS). :1–5.
Software Defined Networking (SDN) is an emerging architecture providing services on a priority basis for real-time communication, by pulling out the intelligence from the hardware and developing a better management system for effective networking. Denial of service (DoS) attacks pose a significant threat to SDN, as it can disable the genuine hosts and routers by exhausting their resources. It is thus vital to provide efficient traffic management, both at the data layer and the control layer, thereby becoming more responsive to dynamic network threats such as DoS. Existing DoS prevention and mitigation models for SDN are computationally expensive and are slow to react. This paper introduces a novel biologically inspired architecture for SDN to detect DoS flooding attacks. The proposed biologically inspired architecture utilizes the concepts of the human immune system to provide a robust solution against DoS attacks in SDNs. The two layer immune inspired framework, viz innate layer and adaptive layer, is initiated at the data layer and the control layer of SDN, respectively. The proposed model is reactive and lightweight for DoS mitigation in SDNs.
2019-03-11
Li, Z., Xie, X., Ma, X., Guan, Z..  2018.  Trustworthiness Optimization of Industrial Cluster Network Platform Based on Blockchain. 2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS). :1–6.

Industrial cluster is an important organization form and carrier of development of small and medium-sized enterprises, and information service platform is an important facility of industrial cluster. Improving the credibility of the network platform is conducive to eliminate the adverse effects of distrust and information asymmetry on industrial clusters. The decentralization, transparency, openness, and intangibility of block chain technology make it an inevitable choice for trustworthiness optimization of industrial cluster network platform. This paper first studied on trusted standard of industry cluster network platform and construct a new trusted framework of industry cluster network platform. Then the paper focus on trustworthiness optimization of data layer and application layer of the platform. The purpose of this paper is to build an industrial cluster network platform with data access, information trustworthiness, function availability, high-speed and low consumption, and promote the sustainable and efficient development of industrial cluster.