IP Information Research Articles

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Defensive Mechanism Against DDoS Attack to Preserve Resource Availability for IoT Applications

The major challenge of Internet of Things (IoT) generated data is its hypervisor level vulnerabilities. Malicious VM deployment and termination are so simple due to its multitenant shared nature and distributed elastic cloud features. These features enable the attackers to launch Distributed Denial of Service attacks to degrade cloud server performance. Attack detection techniques are applied to the VMs that are used by malicious tenants to hold the cloud resources by launching DDoS attacks at data center subnets. Traditional dataflow-based attack detection methods rely on the similarities of incoming requests which consist of IP and TCP header information flows. The proposed approach classifies the status patterns of malicious VMs and ideal VMs to identify the attackers. In this article, information theory is used to calculate the entropy value of the malicious virtual machines for detecting attack behaviors. Experimental results prove that the proposed system works well against DDoS attacks in IoT applications.

Mapping ideological opinions in China using online survey

ABSTRACTThis article studies the correlation between ideological opinions and economic development in China at the city and provincial levels, using online survey data with IP information. We assume that more economically developed regions in the southeast are more liberal, as predicted by the modernization theory. We map the ideological opinions reflected by Chinese Political Compass. We find that (1) at the city level, economic development does not necessarily lead to liberal ideology as shown by the spatial autocorrelation; (2) at the provincial level, there is a significant positive correlation between the net export value and liberal ideology. Other development indicators (e.g. income per capita and number of educational institutions) are not statistically relevant.

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Extracting IP information from AEM data to improve the hydrogeological interpretation

IP measurements in airborne EM data have not been previously considered for mapping groundwater distribution. IP modelling can be applied to discriminate between co-existing salty aquifers (conductive and non-chargeable) and extensive clay layers (conductive and chargeable); typical in both coastal areas and regions affected by dry-land salinity. The current case study presents the field results from a gold and metal project that had a hydrogeological mapping component to it in central Western Australia. Accounting for IP signal in the forward response was necessary to fit the data in localised areas, which were then interpreted as clay filled (conductive and chargeable) palaeochannels. The synthetic experiments that followed confirm that in favourable conditions, clay derived IP signal can affect the measured AEM response. Conversely, IP information can be recovered from these data, providing an extra physical parameter of value to the hydrogeological interpretation.

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Selective diary of IP information related conferences, meetings, exhibitions and courses

Improving Accessing Efficiency of Cloud Storage Using De-Duplication and Feedback Schemes

File distribution and storage in a cloud storage environment is usually handled by storage device providers or physical storage devices rented from third parties. Files can be integrated into useful resources that users are then able to access via centralized management and virtualization. Nevertheless, when the number of files continues to increase, the condition of every storage node cannot be guaranteed by the manager. High volumes of files will result in wasted hardware resources, increased control complexity of the data center, and a less efficient cloud storage system. Therefore, in order to reduce workloads due to duplicate files, we propose the index name servers (INS) to manage not only file storage, data de-duplication, optimized node selection, and server load balancing, but also file compression, chunk matching, real-time feedback control, IP information, and busy level index monitoring. To manage and optimize the storage nodes based on the client-side transmission status by our proposed INS, all nodes must elicit optimal performance and offer suitable resources to clients. In this way, not only can the performance of the storage system be improved, but the files can also be reasonably distributed, decreasing the workload of the storage nodes.

In-phase and out-of-phase single-shot magnetization-prepared gradient recalled echo: Description and optimization of technique at 1.5 T

PurposeTo implement in-phase and out-of-phase (IP/OP) techniques with Magnetization-prepared gradient recalled echo (MP-GRE) and to evaluate the feasibility and diagnostic image quality among pre and post-optimized MP-GRE sequences, including patients unable to cooperate with breath-hold requirements. Materials and methodsInstitutional review board approval with waiver of informed consent was obtained for this HIPAA-compliant retrospective study. Two groups of patients were included in the study, before and after optimization of MP-GRE parameters, with seventy-three (24 noncooperative/49 cooperative) and sixty-four (22 noncooperative/42 cooperative) consecutive patients, respectively. The motion-insensitive sequence used in this study was a single-shot 2D MP-GRE. Two radiologists qualitatively evaluated the sequences to identify the presence of phase cancelation artifact in OP images and to determine image quality, extent of artifacts (respiratory ghosting, bounce-point artifact, spatial misregistration and pixel graininess) and lesion conspicuity on the various sequences. The ability to visually detect liver steatosis and fatty adrenal adenomas was evaluated. Qualitative analyses were compared using the Wilcoxon and Mann–Whitney tests. ResultsThere were statistically significant differences between all MP-GRE sequences concerning phase cancelation artifact (p<.0001) which was present in MP-GRE OP sequences and negligible to absent in the pre (IP1) and post-optimized (IP2) MP-GRE IP sequences, respectively, in all patients.Bounce point artifacts were significantly more pronounced in MP-GRE IP1 (p<.0001). Spatial misregistration was slightly more prominent in noncooperative patients with MP-GRE IP2 (p=.0027). MP-GRE OP and MP-GRE IP2 showed significantly higher overall image quality (p<.0001).MP-GRE sequences subjectively identified hepatic steatosis (n=20) and adrenal adenomas (n=5) based on signal loss from IP to OP sequence. ConclusionSingle shot IP/OP MP-GRE is feasible and allows motion resistant imaging with adequate diagnostic image quality. This technique is able to provide IP and OP information in patients unable to suspend respiration.

Constrained inversion of IP parameters from Airborne EM data

The possibility of extracting IP information from AEM data never stopped being of inetrest to the sceintific community and industry. We apply to this old problem the proven approach of the Laterally and Spatially Constrained Inversion. By applying constraints in the model space, we improve the resolvability of model parameters in the ill posed inversion problem. We present a synthetic study where the model the IP response over a layered earth using the Cole Cole model. We simulate both an environmental and an exploration target. Results show that, as expected, in some cases, some of the Cole Cole parameters can be resolved better using the LCI-SCI than by using stitched together inversions. They also provide useful insight into different ranges/combinations of resolvable parameters. Limitations of the approach are those of the SCI-LCI; In presence of strong 3D varitaions, the dimensionality of the forward response produces inaccuracies in the recovered models. Nonetheless, we argue that this approach can be applied satisfactorily to a number of real cases.We aim at presenting at the conference results also from real dataset.

An EDNS0 Extension for IP-Based DNS Resolution

The popular IP-based resolution service is subject to the source address confusion especially for the remote recursive resolver. Moreover, the current practice does not provide the IP-based resolution as an optional service. The paper proposes a scheme extends the EDNS0 flags field to introduce the non-soliciting indicator and uses an EDNS0 option to include client IP information in DNS messages. This extension helps to enhance the user experience as well as the overall performance.

中攻上市公司知識産權 信息披露制度評價侮完善

中攻上市公司知識産權 信息披露制度評價侮完善

Intrusion Detection System using Hidden Markov Model (HMM)

Intrusion detection systems play a key role in detecting such malicious activities and enable administrators in securing network systems. Intrusion detection can detect malicious attacks that have penetrated preventative mechanisms such as firewalls, which can help provide damage assessment, response and prosecution support. This paper describes a novel approach using Hidden Markov Models (HMM) to detect Internet attacks. In this paper we describe an intrusion detection system for detection of signature based attack. These attack signatures encompass specific traffic or activity that is based on known intrusive activity. We performed single and multiple HMM model for source separation both on IP and port information of source and destination. This approach reduced the false positive rate and we made this type of source separation as our basic step for building HMM.

The IP and patent information scene in Mexico

The development of IP in Mexico over recent years, to bring the system more closely into line with other industrialized nations is first described, together with some statistics on IP filings. The main thrust of the article is a description of the key sources of IP information in Mexico, mostly provided by the Mexican Institute of Industrial Property (IMPI). These sources include SIGA, ViDoc, Marcanet and Pymetec, and provide a wide range of both historical and current data on most forms of industrial property. Efforts to disseminate the value of IP and IP information are also covered, in the context that much better use of both would be desirable in Mexico.