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Research On Cloud Storage For Ocean Remote Sensing Image Based On Secret Sharing

Posted on:2018-09-01Degree:MasterType:Thesis
Country:ChinaCandidate:H F XuFull Text:PDF
GTID:2348330536977345Subject:Computer Science and Technology
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Ocean remote sensing image increased by TB/day.Cloud has large storage space,low price and easy deployment characteristics,which it brings benefits for remote sensing image storage and management.Therefore,more and more users transfer the image data into the cloud.Ocean remote sensing images have large scale,large scale and hypersensitivity characteristics,while in practical application,the harbor,the coast and the island information are the core of the ocean remote sensing images,and it's also a sensitive area of image data.Therefore,the security and accuracy of sensitive region images have guiding significance in ocean environment monitoring,ocean resources allocation,ocean disaster warning and rescue.Due to the openness of the cloud storage environment,the remote sensing image data managers lose control over data security.Therefore,it's important to ensure the security of sensitive region images in cloud storage environments.Secret sharing scheme is widely used in data security and prevention on power abuse,especially in important and sensitive data security.While using traditional secret sharing technology to restore the secret,it will lead to poor quality of the secret because of the existence of false sub secret,it greatly reduced the accuracy of the recovered image data.Then an image authentication scheme is proposed in this paper to protect the ocean remote sensing image confidentiality on cloud,by combining the Hash function and the threshold scheme to detect the changes of the image data in sensitive regions and verify the consistency for Encryption and Recovery images.The sensitive-region image can't be restored when more than n-k out of n sub-secrets get lost or tampered happened.To avoid this,this paper divided the sensitive region image into blocks,and implemented secret sharing for each sub block,which guarantees the lossless recovery of partial image and enhances the availability of image data.Through experimental comparison and analysis,the algorithm can effectively prevent fraud behavior during the process of secret image recovery,and it can get higher cloud storage security than traditional methods.However,in the actual scene,it exists difference between the position and power for participants,weighted secret sharing can effectively solve the problem of weight inequality.In this paper,A weighted threshold secret sharing scheme for Ocean remote sensing images is proposed by introducing mignotte sequence and extending it.Combined with the large scale characteristics of ocean remote sensing image,the shadow image is processed based on the image gray value quantization processing.Experimental results show that no matter what the weight value size,each participant only needs to save one share,which simplifies the management,and it also reduces the transmission of secret information,and it strengthen the security and flexibility of this scheme.In order to overcome the shortcomings of the existing threshold secret sharing scheme in dealing with the dynamic change of the participant set.A dynamic weighted threshold secret scheme is proposed by introducting a bulletin board to release some auxiliary information and to support the dynamic change of the participant set.That is,when the participants join or leave,there is no need to redivide the secret to other participants,it only need to recalculate and release auxiliary information and generate new shadow information,it ensures the reusability of the sub secret.So this scheme has high security and practicability.The main innovation and research contents are described as follows:1.By combining the Hash function and the threshold scheme to detect the changes of the image data in sensitive regions and verifys the consistency for Encryption and Recovery images.The sensitive-region image can't be restored when more than n-k out of n sub-secrets get lost or tampered.To avoid this,this paper divided the sensitive region image into blocks,and implemented secret sharing for each sub block,which guarantees the lossless recovery of partial image and enhances the availability of image data.2.In order to solve the problem of weight inequality,a weighted threshold image secret sharing scheme is proposed.By introducing mignotte sequence and extending it,the shadow image is generated by dealing the secret image,and we restore the image based on Chinese remainder throrem.It strengthens the security and flexibility of the scheme.3.In order to overcomes the shortcomings of the existing threshold secret sharing scheme in dealing with the dynamic change of the participant set.A dynamic weighted threshold secret scheme is proposed,when the participants join or leave,there is no need to redivide the secret to other participants,it only need to generate new shadow information.It strengthen the flexibility and practicality of the scheme.
Keywords/Search Tags:Cloud Storage, Ocean Remote Sensing Image, Weighted Threshold, Chinese Remainder Theorem, Dynamic Threshold
PDF Full Text Request
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