Biblio
Living in the age of digital transformation, companies and individuals are moving to public and private clouds to store and retrieve information, hence the need to store and retrieve data is exponentially increasing. Existing storage technologies such as DAS are facing a big challenge to deal with these huge amount of data. Hence, newer technologies should be adopted. Storage Area Network (SAN) is a distributed storage technology that aggregates data from several private nodes into a centralized secure place. Looking at SAN from a security perspective, clearly physical security over multiple geographical remote locations is not adequate to ensure a full security solution. A SAN security framework needs to be developed and designed. This work investigates how SAN protocols work (FC, ISCSI, FCOE). It also investigates about other storages technologies such as Network Attached Storage (NAS) and Direct Attached Storage (DAS) including different metrics such as: IOPS (input output per second), Throughput, Bandwidths, latency, cashing technologies. This research work is focusing on the security vulnerabilities in SAN listing different attacks in SAN protocols and compare it to other such as NAS and DAS. Another aspect of this work is to highlight performance factors in SAN in order to find a way to improve the performance focusing security solutions aimed to enhance the security level in SAN.
Up to now, Software-defined network (SDN) has been developing for many years and various controller implementations have appeared. Most of these controllers contain the normal business logic as well as security defense function. This makes the business logic on the controller tightly coupled with the security function, which increases the burden of the controller and is not conducive to the evolution of the controller. To address this problem, we propose a proactive security framework PSA, which decouples the business logic and security function of the controller, and deploys the security function in the proactive security layer which lies between the data plane and the control plane, so as to provide a unified security defense framework for different controller implementations. Based on PSA, we design a security defense application for the data-to-control plane saturation attack, which overloads the infrastructure of SDN networks. We evaluate the prototype implementation of PSA in the software environments. The results show that PSA is effective with adding only minor overhead into the entire SDN infrastructure.
The following topics are dealt with: feature extraction; data mining; support vector machines; mobile computing; photovoltaic power systems; mean square error methods; fault diagnosis; natural language processing; control system synthesis; and Internet of Things.
A novel optical fiber sensing network is proposed to eliminate the effect of multiple fiber failures. Simulation results show that if the number of breakpoint in each subnet is less than four, the optical routing paths can be reset to avoid those breakpoints by changing the status of optical switches in the remote nodes.
In multicarrier direct modulation direct detection systems, interaction between laser chirp and fiber group velocity dispersion induces subcarrier-to-subcarrier intermixing interferences (SSII) after detection. Such SSII become a major impairment in orthogonal frequency division multiplexing-based access systems, where a high modulation index, leading to large chirp, is required to maximize the system power budget. In this letter, we present and experimentally verify an analytical formulation to predict the level of signal and SSII and estimate the signal to noise ratio of each subcarrier, enabling improved bit-and-power loading and subcarrier attribution. The reported model is compact, and only requires the knowledge of basic link characteristics and laser parameters that can easily be measured.