A distributed cloud based video storage system with privacy protection

2017 ◽  
Author(s):  
Kang Il Choi ◽  
Jung Hee Lee ◽  
Bhum Cheol Lee
Keyword(s):  
Privacy Protection ◽  
Storage System ◽  
Video Storage ◽  
Distributed Cloud

Evaluation of a Video Storage System for Intrusion Detections

1985 ◽  
Vol 29 (5) ◽  
pp. 417-421
Author(s):  
Betty P. Chao
Keyword(s):  
Storage System ◽  
Closed Circuit ◽  
Video Storage

The paper reports an evaluation of a video storage system used in conjunction with closed circuit televisions for surveillance purposes. When multiple intrusions occur simultaneously, video storage permits the user to assess intrusions that might otherwise be missed. A study of specific display characteristics was undertaken to optimize the effectiveness of the video storage system.

scholarly journals Public Auditing Scheme for Integrity Verification in Distributed Cloud Storage System

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
K. Mahalakshmi ◽  
K. Kousalya ◽  
Himanshu Shekhar ◽  
Aby K. Thomas ◽  
L. Bhagyalakshmi ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Data Integrity ◽  
Communication Cost ◽  
Disk Drives ◽  
Public Auditing ◽  
Integrity Verification ◽  
Digital Signature Algorithm ◽  
Cost Metrics ◽  
Distributed Cloud

Cloud storage provides a potential solution replacing physical disk drives in terms of prominent outsourcing services. A threaten from an untrusted server affects the security and integrity of the data. However, the major problem between the data integrity and cost of communication and computation is directly proportional to each other. It is hence necessary to develop a model that provides the trade-off between the data integrity and cost metrics in cloud environment. In this paper, we develop an integrity verification mechanism that enables the utilisation of cryptographic solution with algebraic signature. The model utilises elliptic curve digital signature algorithm (ECDSA) to verify the data outsources. The study further resists the malicious attacks including forgery attacks, replacing attacks and replay attacks. The symmetric encryption guarantees the privacy of the data. The simulation is conducted to test the efficacy of the algorithm in maintaining the data integrity with reduced cost. The performance of the entire model is tested against the existing methods in terms of their communication cost, computation cost, and overhead cost. The results of simulation show that the proposed method obtains reduced computational of 0.25% and communication cost of 0.21% than other public auditing schemes.

scholarly journals A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Shengcheng Ma ◽  
Xin Chen ◽  
Zhuo Li ◽  
Yingjie Yang
Keyword(s):  
Petri Net ◽  
Video Retrieval ◽  
Storage System ◽  
Video Data ◽  
University Campus ◽  
Surveillance Video ◽  
Key Frame ◽  
Video Storage ◽  
The University ◽  
Data Reading

This paper investigates and analyzes the characteristics of video data and puts forward a campus surveillance video storage system with the university campus as the specific application environment. Aiming at the challenge that the content-based video retrieval response time is too long, the key-frame index subsystem is designed. The key frame of the video can reflect the main content of the video. Extracted from the video, key frames are associated with the metadata information to establish the storage index. The key-frame index is used in lookup operations while querying. This method can greatly reduce the amount of video data reading and effectively improves the query’s efficiency. From the above, we model the storage system by a stochastic Petri net (SPN) and verify the promotion of query performance by quantitative analysis.

Wiera: Policy-Driven Multi-Tiered Geo-Distributed Cloud Storage System

2020 ◽  
Vol 31 (2) ◽  
pp. 294-305 ◽  
Author(s):  
Kwangsung Oh ◽  
Nan Qin ◽  
Abhishek Chandra ◽  
Jon Weissman
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Distributed Cloud

A Data Localization Algorithm for Distributing Column Storage System of Big Data

2013 ◽  
Vol 756-759 ◽  
pp. 3089-3093 ◽  
Author(s):  
Jia Man Ding ◽  
Ying Jiang ◽  
Qing Xin Wang ◽  
Ying Li Liu ◽  
Meng Juan Li
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Storage System ◽  
Data Access ◽  
Localization Algorithm ◽  
Network Access ◽  
Cloud Computing Environment ◽  
Access Frequency ◽  
Localization Strategy ◽  
Distributed Cloud

Distributing column storage is one of the techniques to improve the efficiency of big data access under the cloud computing environment. To achieving the aim and reducing network data access frequency, paper established a data localization strategy and designed a multi-thread algorithm. Firstly, segmentalize data in the horizontal direction, and then divide vertically the data table into data column, and ensure that the same level column data localize on the same node in the cluster. Secondly, the essay designed and realized the data localization algorithm under Hadoop distributed cloud computing framework. Finally, experiments show remarkable reduces in the network access with the usage of data localization algorithm, and improvement of the data access efficiency.

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