LogDrive: a proactive data collection and analysis framework for time-traveling forensic investigation in IaaS cloud environments

Hirano, Manabu; Tsuzuki, Natsuki; Ikeda, Seishiro; Kobayashi, Ryota

doi:10.1186/s13677-018-0119-2

Cited by 8 publications

(3 citation statements)

References 44 publications

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“…The objective of each GAN network optimization is redefined as a ame between the generated model and the discriminant model with the constraint of the epresentation vector. As can be seen from Figure 3, the GAN network of each SAR view generates the representation ector c [23,24] from the coding model before the training begins. In the training process, the model is generated with the random variable z sampled from the normal distribution as the input and he representation vector c as the constraint condition.…”

Section: Multi View Data Generation Of Symmetric Difference Kernel Samentioning

confidence: 99%

Edge Detection Algorithm of a Symmetric Difference Kernel SAR Image Based on the GAN Network Model

Zhang

Liu

et al. 2019

Symmetry

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The symmetrical difference kernel SAR image edge detection algorithm based on the Canny operator can usually achieve effective edge detection of a single view image. When detecting a multi-view SAR image edge, it has the disadvantage of a low detection accuracy. An edge detection algorithm for a symmetric difference nuclear SAR image based on the GAN network model is proposed. Multi-view data of a symmetric difference nuclear SAR image are generated by the GAN network model. According to the results of multi-view data generation, an edge detection model for an arbitrary direction symmetric difference nuclear SAR image is constructed. A non-edge is eliminated by edge post-processing. The Hough transform is used to calculate the edge direction to realize the accurate detection of the edge of the SAR image. The experimental results show that the average classification accuracy of the proposed algorithm is 93.8%, 96.85% of the detection edges coincide with the correct edges, and 97.08% of the detection edges fall into the buffer of three pixel widths, whichshows that the proposed algorithm has a high accuracy of edge detection for kernel SAR images.

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Section: Multi View Data Generation Of Symmetric Difference Kernel Samentioning

confidence: 99%

Edge Detection Algorithm of a Symmetric Difference Kernel SAR Image Based on the GAN Network Model

Zhang

Liu

et al. 2019

Symmetry

View full text Add to dashboard Cite

show abstract

“…Many applications, such as financial transactions, can be carried out anywhere and anytime, as long as an internet connection and supporting devices are available. This growth, however, coincides with the increasing possibility of the sensitive data being compromised [1,2,3], including those in a big data environment [4,5], considering the characteristics of users [6]. This condition has turned security into an essential factor, especially in transmitting and distributing those data.…”

Section: Introductionmentioning

confidence: 99%

Improved prediction error expansion and mirroring embedded samples for enhancing reversible audio data hiding

Samudra

Ahmad

2021

Heliyon

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“…HetNet includes a traditional macrocellular network and new junior units that use millimeter waves for backhaul and link access. In addition, the concept of split control plane (CP) and user plane (UP) is introduced in HetNet [17][18][19][20]. In CP/UP split HetNet, the traditional macrocell provides the CP with a large area coverage, while UP data is provided by the millimeter wave junior unit.…”

Section: Introductionmentioning

confidence: 99%

Conceptual Verification of Integrated Heterogeneous Network Based on 5G Millimeter Wave Use in Gymnasium

Yang

2019

Symmetry

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Aiming at the problem that the optical link may be too expensive or even impossible to achieve in a large number of locations in the central part of the backhaul line, the proof-of-concept (PoC) verification of a millimeter-wave integrated heterogeneous network (HetNet) is proposed. HetNet includes a traditional macrocell network and a new small unit that uses a millimeter wave for backhaul line and link access. The concept of a segmentation control plane and user plane was introduced. In the HetNet integrated millimeter wave, the control plane and the user plane were segmented to support the uninterrupted connection and enhance the capacity of the millimeter wave small base station. Millimeter wave communication could be used not only for access links, but also for wireless backhaul links, which will facilitate the installation of small millimeter wave cells. Through conceptual verification (PoC), the feasibility of millimeter-wave integrated HetNet prototype with millimeter wave technology used for return lines and link access is proved.(71-86 GHz) transceiver that supports 10-Gbps backhaul lines to form a centralized radio frequency access network (C-RAN) [13][14][15]. The literature [16] proposed an optimization scheme that adopts integrated optimization ideas so that various optimization mechanisms can work cooperatively, which improves optimization efficiency by repeated utilization of network resources and information. The analog simulation results also verify the effectiveness of the optimization scheme. The related literature studies the selection and switching of ultra-dense heterogeneous networks in 5G wireless communication systems. This paper proposes a joint vertical handover method based on region-aware Bayesian decision-making, which is optimized by selecting ultra-dense heterogeneous access networks, and switching the probability to solve the problem of ultra-dense network handover. By simulating and analyzing mobile users from macro base stations entering ultra-dense service cells and different scenarios of intra-cell and inter-cell mobility, the method can accurately select the network to be switched. Thus, this solution can be applied to the application scenarios of ultra-dense networks.This paper presents a proof-of-concept (PoC) of millimeter-wave integrated HetNet. The study looks at millimeter-wave technology in HetNet, especially the effective utilization of 60-GHz technology. HetNet includes a traditional macrocellular network and new junior units that use millimeter waves for backhaul and link access. In addition, the concept of split control plane (CP) and user plane (UP) is introduced in HetNet [17-20]. In CP/UP split HetNet, the traditional macrocell provides the CP with a large area coverage, while UP data is provided by the millimeter wave junior unit. This architecture supports uninterrupted connectivity and increases capacity by leveraging the advantages of both macro and junior cells.

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LogDrive: a proactive data collection and analysis framework for time-traveling forensic investigation in IaaS cloud environments

Cited by 8 publications

References 44 publications

Edge Detection Algorithm of a Symmetric Difference Kernel SAR Image Based on the GAN Network Model

Edge Detection Algorithm of a Symmetric Difference Kernel SAR Image Based on the GAN Network Model

Improved prediction error expansion and mirroring embedded samples for enhancing reversible audio data hiding

Conceptual Verification of Integrated Heterogeneous Network Based on 5G Millimeter Wave Use in Gymnasium

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