Multimodal aspects of communication and data storage and managing systems

Sebestyénová, Jolana; Kurdel, P.

doi:10.1109/ines.2014.6909370

“…Towards finding optimal solution, some of the challenges for managing the enormous amount of data and efficient processing, storage and maintaining of the data are elaborated in [3][4][5][6]. A smarter solution with less redundancy and better reliability is offered by erasure codes.…”

Section: Introductionmentioning

confidence: 99%

“…Security in Twin(5,4) MDS -(6,4) MDS code in presence of two eavesdroppers: (i) Two nodes from different types are eavesdropped; (ii) Two nodes from same type, Type 1 are eavesdropped.For MSR codes, the eavesdropper has an access to l 1 nodes, and listens l 2 nodes that are in the reparation process. In[20] Goparaju et al have established an upper bound of the achievable secure file size in presence of both types of attack,…”

mentioning

confidence: 99%

Efficient distribution and improved security for reliable cloud storage system

Marina

¹

,

Velkoska

²

,

Paunkoska

³

2017

IEEE EUROCON 2017 -17th International Conference on Smart Technologies

2

0

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The distributed data storage systems are constructed by large number of nodes which are interconnected over a network. Each node in such peer-to-peer network is vulnerable and at a potential risk for attack. The attackers can eavesdrop the nodes and possibly modify their data. Hence distributed storage systems should be secure apart from satisfying the reconstruction and repair requirements. We constructed a distributed storage system, Twin MDS code framework which is more efficient than the regenerating codes based storage systems. We prove that this Twin MDS code framework gives better performance than MBR codes and equal with MSR codes in the distribution process and investigate its security performance comparing with the security of the MBR and MSR codes. Such Twin MDS code framework is examined in an eavesdropper model where passive attackers can access to the stored data or/and downloaded data during the repair process. We demonstrate that the Twin MDS code framework manages better results than MBR and MSR codes regarding the security in the system. twin-code framework, distributed storage systems (DSS), eavesdropper, informationtheoretic secrecy, security in DSS, minimum bandwidth regenerating codes, minimum storage regenerating codes

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Multimodal Indexing and Information Retrieval System Based on Mammographic Image Analysis

Sidhom

¹

,

Bourkache

²

,

Laghrouche

³

Classification and Clustering in Biomedical Signal Processing

0

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In this chapter, we propose a new indexing approach on medical “image scanner” databases combining the analysis process of the texture characteristics with the descriptive information. The proposed model is based on the digital image components using the characteristics vector. This vector represents the morphological processing result on image texture. It is linked to image semantic attributes using the annotations of medical professionals. Our application context is based on “Mammographic Image Analysis” (MIAS) in databases. The first aspect concerning the morphology processing on images called the “numerical signature” vector. In this approach, the texture analysis of the image is based on the Gabor Wavelets (or Filters) Theory. In offline processing for each image in MIAS databases, the Gabor Wavelets determine all numerical signatures: image characteristics as multi-index vectors. In online, the query processing by image in real-time defines the query signature (or image-query vectors) and determines all similarities by multi-index matching with images in databases. The similarities are built between the image-query and images in MIAS databases using the same Gabors' algorithms implementation. In order to evaluate the robustness of our system (based on multi-index, semantic attributes, query and information retrieval by image), we experiment with a controlled database of 320 mammographies. The efficient results show a set of successful criteria in image representations based on the Gabor's Wavelets, semantic attributes and significant ratios in the system recall and precision. The objective is to design an intelligent application to assist medical professionals in the decision-making on tumor dignosis based on mammography scanner.

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Multimodal Indexing and Information Retrieval System Based on Mammographic Image Analysis

Sidhom

¹

,

Bourkache

²

,

Laghrouche

³

2017

Medical Imaging

1

0

View full text Add to dashboard Cite

In this chapter, we propose a new indexing approach on medical “image scanner” databases combining the analysis process of the texture characteristics with the descriptive information. The proposed model is based on the digital image components using the characteristics vector. This vector represents the morphological processing result on image texture. It is linked to image semantic attributes using the annotations of medical professionals. Our application context is based on “Mammographic Image Analysis” (MIAS) in databases. The first aspect concerning the morphology processing on images called the “numerical signature” vector. In this approach, the texture analysis of the image is based on the Gabor Wavelets (or Filters) Theory. In offline processing for each image in MIAS databases, the Gabor Wavelets determine all numerical signatures: image characteristics as multi-index vectors. In online, the query processing by image in real-time defines the query signature (or image-query vectors) and determines all similarities by multi-index matching with images in databases. The similarities are built between the image-query and images in MIAS databases using the same Gabors' algorithms implementation. In order to evaluate the robustness of our system (based on multi-index, semantic attributes, query and information retrieval by image), we experiment with a controlled database of 320 mammographies. The efficient results show a set of successful criteria in image representations based on the Gabor's Wavelets, semantic attributes and significant ratios in the system recall and precision. The objective is to design an intelligent application to assist medical professionals in the decision-making on tumor dignosis based on mammography scanner.

show abstract

Multimodal aspects of communication and data storage and managing systems

Cited by 3 publications

References 7 publications

Efficient distribution and improved security for reliable cloud storage system

Efficient distribution and improved security for reliable cloud storage system

Multimodal Indexing and Information Retrieval System Based on Mammographic Image Analysis

Multimodal Indexing and Information Retrieval System Based on Mammographic Image Analysis

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