支持密文搜索和運(yùn)算的遙感圖像加密研究
發(fā)布時間：2018-07-24 14:14
【摘要】：遙感圖像作為一種重要的時空數(shù)據(jù),具有多精度、多時相、多語義、多波段等特點(diǎn),在土地規(guī)劃、環(huán)境監(jiān)測、災(zāi)害預(yù)報等重大領(lǐng)域已發(fā)揮出了令人矚目的潛能及優(yōu)勢,尤其在信息獲取及分析處理方面展示了其獨(dú)特的魅力。隨著海洋立體觀測技術(shù)的飛速發(fā)展,催生了高精度、大范圍的遙感圖像數(shù)據(jù)呈爆炸式增長,通過不同途徑獲取到的遙感圖像數(shù)據(jù)每天以TB級的速度迅猛增長,目前已達(dá)到EB級別,已展示出了明顯的“大數(shù)據(jù)”特征,為各行各業(yè)的科研和發(fā)展提供強(qiáng)大的數(shù)據(jù)支撐。目前的單機(jī)難以處理具有大數(shù)據(jù)特征的遙感圖像,因此需要利用云環(huán)境的優(yōu)勢進(jìn)行高效率的計(jì)算。作為重要的基礎(chǔ)決策性信息資源,遙感圖像在軍事行業(yè)具有舉足輕重的決策地位,目前已成為最有效、最安全,同時也是最可靠的偵察手段,可對作戰(zhàn)區(qū)域進(jìn)行實(shí)時的全方位遙感偵察。云非完全可信,安全事件頻發(fā),鑒于遙感圖像在民生行業(yè)及國防軍事中的重要性,為防止云環(huán)境下受到惡意的截取或破壞,亟需可靠的技術(shù)手段對其進(jìn)行加密保護(hù),使得在云環(huán)境下不僅能夠保證密文遙感圖像的傳輸、存儲以及共享,而且能夠支持密文的計(jì)算,提高云環(huán)境下密文遙感圖像的有效性。云環(huán)境下海量密文遙感圖像的搜索和運(yùn)算,其運(yùn)算效率及搜索精度對遙感圖像的廣泛使用具有直接性的意義。由于目前大多數(shù)可計(jì)算加密算法并不支持在密文遙感圖像上進(jìn)行搜索與運(yùn)算,因此本文針對遙感圖像的屬性特征,提出了支持密文搜索和運(yùn)算的遙感圖像加密方案,使得加密后的遙感圖像能夠支持密文的搜索與運(yùn)算。本文提出的可計(jì)算加密算法主要體現(xiàn)以下兩個方面:1、本文提出了一種支持密文搜索的遙感圖像加密方案,根據(jù)遙感圖像的成像原理及多波段、高精度等特性,利用基于排序的二維非線性映射對遙感圖像進(jìn)行空域加密,其次采用改進(jìn)的Henon映射對遙感圖像各波段進(jìn)行灰度加密。根據(jù)遙感圖像多波段特性,通過統(tǒng)計(jì)灰度值區(qū)間信息構(gòu)造密文遙感圖像的特征向量,最后根據(jù)相似度匹配算法搜索目標(biāo)圖像。實(shí)驗(yàn)采用Landsat 8遙感圖像并對其進(jìn)行加密分析,實(shí)驗(yàn)表明該加密方案在非完全可信云環(huán)境下保證遙感圖像安全的同時,有效地提高了密文遙感圖像搜索的效率,本地用戶只需要一次加解密時間,通信成本開銷小,且算法計(jì)算復(fù)雜度低。2、本文提出的基于最重要位平面(MSB,Most Significant Bit)的同態(tài)加密方案,在云環(huán)境下不僅能夠?qū)崿F(xiàn)密文遙感圖像的安全保護(hù),同時能夠?qū)用艿倪b感圖像進(jìn)行有效地線性操作。結(jié)合遙感圖像的MSB信息,利用基于整數(shù)的矩陣同態(tài)加密算法,使得加密后遙感圖像的灰度值均勻分布在高頻區(qū)域,很好的隱藏了明文圖像的特征信息,在非完全可信云環(huán)境下保證了密文數(shù)據(jù)的安全。加密后的遙感圖像能夠直接支持線性操作,通過波段間線性插值運(yùn)算能得到同一區(qū)域不同時間點(diǎn)遙感圖像的差異度效果圖,此外還可以結(jié)合邊緣檢測算子在密文上直接獲得加密的圖像邊緣信息,很好的提高了云環(huán)境下密文遙感圖像的可用性。綜上所述,本文對非可信云環(huán)境下支持密文可計(jì)算的加密算法展開了系統(tǒng)研究,提出的加密方案能夠很好的支持密文遙感圖像的搜索及運(yùn)算操作,實(shí)驗(yàn)證明該加密算法在遙感領(lǐng)域具有重要的理論研究意義和工程應(yīng)用價值。
[Abstract]:As an important spatio-temporal data, remote sensing image has the characteristics of multi precision, multi time phase, multi semantics, multi band and so on. It has shown great potential and advantages in land planning, environmental monitoring, disaster prediction and other major fields, especially in information acquisition and analysis. The rapid development of technology has brought about high precision. The remote sensing image data of large range has been explosively growing. The remote sensing image data obtained through different ways are growing rapidly at the speed of TB level every day. Now it has reached the level of EB, which has shown obvious "big data" features and provides powerful data for scientific research and development of all walks of life. It is difficult to handle remote sensing images with large data features, so it is necessary to make use of the advantages of the cloud environment for efficient calculation. As an important basic decision-making information resource, remote sensing images have a decisive position in the military industry, and are now the most effective, safest, and the most reliable detection. In view of the importance of remote sensing images in the people's livelihood industry and national defense and military, a reliable technical hand is urgently needed to encrypt and protect it in the cloud environment, which makes it not only in the cloud environment, but also in the cloud environment. It can guarantee the transmission, storage and sharing of the ciphertext remote sensing images, and can support the calculation of the ciphertext and improve the effectiveness of the remote sensing images in the cloud environment. The search and operation of the massive encrypted remote sensing images under the cloud environment are of direct significance to the extensive use of remote sensing images. Most computable encryption algorithms do not support the search and operation of the ciphertext remote sensing images. Therefore, in this paper, a remote sensing image encryption scheme is proposed to support the search and operation of ciphertext for the properties of remote sensing images. The encrypted remote sensing image can support the search and operation of the ciphertext. The computable encryption algorithm proposed in this paper is proposed. It mainly embodies the following two aspects: 1, this paper proposes a remote sensing image encryption scheme that supports ciphertext search. According to the imaging principle of remote sensing image and the characteristics of multi band and high precision, the remote sensing image is encrypted by the sort based two-dimensional nonlinear mapping. Secondly, the improved Henon mapping is used for the remote sensing images. According to the multi band characteristics of remote sensing image, the feature vectors of the encrypted remote sensing image are constructed by the statistical gray value interval information. Finally, the target image is searched according to the similarity matching algorithm. The experiment uses Landsat 8 remote sensing image and encrypts it. The experimental table shows that the encryption scheme is guaranteed under the non fully trusted cloud environment. At the same time, it can effectively improve the efficiency of remote sensing image search. Local users only need one time of encryption and decryption, the cost of communication is small, and the computational complexity of the algorithm is low.2. The homomorphic encryption scheme based on the most important bit plane (MSB, Most Significant Bit) proposed in this paper can not only be implemented in the cloud environment. The security of the encrypted remote sensing image can be protected effectively. At the same time, the encrypted remote sensing image can operate effectively and linearly. Combining the MSB information of remote sensing images, using the integer based matrix homomorphic encryption algorithm, the gray value of the remote sensing image is evenly distributed in the high frequency region after the encrypted image, and the feature information of the plaintext image is hidden well, and it is not finished. The encrypted remote sensing image can directly support linear operation and can get the difference effect map of the remote sensing images of the same region at different time points through the linear interpolation operation between the bands. In addition, the encrypted image edge message can be directly obtained on the ciphertext by the edge detection operator. In summary, this paper studies the encryption algorithm that supports cipher computable encryption in the untrusted cloud environment. The proposed encryption scheme can support the search and operation of the encrypted image very well. The experiment proves that the encryption algorithm has the advantages of the remote sensing field. Important theoretical research significance and engineering application value.
【學(xué)位授予單位】：上海海洋大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP751
[Abstract]:As an important spatio-temporal data, remote sensing image has the characteristics of multi precision, multi time phase, multi semantics, multi band and so on. It has shown great potential and advantages in land planning, environmental monitoring, disaster prediction and other major fields, especially in information acquisition and analysis. The rapid development of technology has brought about high precision. The remote sensing image data of large range has been explosively growing. The remote sensing image data obtained through different ways are growing rapidly at the speed of TB level every day. Now it has reached the level of EB, which has shown obvious "big data" features and provides powerful data for scientific research and development of all walks of life. It is difficult to handle remote sensing images with large data features, so it is necessary to make use of the advantages of the cloud environment for efficient calculation. As an important basic decision-making information resource, remote sensing images have a decisive position in the military industry, and are now the most effective, safest, and the most reliable detection. In view of the importance of remote sensing images in the people's livelihood industry and national defense and military, a reliable technical hand is urgently needed to encrypt and protect it in the cloud environment, which makes it not only in the cloud environment, but also in the cloud environment. It can guarantee the transmission, storage and sharing of the ciphertext remote sensing images, and can support the calculation of the ciphertext and improve the effectiveness of the remote sensing images in the cloud environment. The search and operation of the massive encrypted remote sensing images under the cloud environment are of direct significance to the extensive use of remote sensing images. Most computable encryption algorithms do not support the search and operation of the ciphertext remote sensing images. Therefore, in this paper, a remote sensing image encryption scheme is proposed to support the search and operation of ciphertext for the properties of remote sensing images. The encrypted remote sensing image can support the search and operation of the ciphertext. The computable encryption algorithm proposed in this paper is proposed. It mainly embodies the following two aspects: 1, this paper proposes a remote sensing image encryption scheme that supports ciphertext search. According to the imaging principle of remote sensing image and the characteristics of multi band and high precision, the remote sensing image is encrypted by the sort based two-dimensional nonlinear mapping. Secondly, the improved Henon mapping is used for the remote sensing images. According to the multi band characteristics of remote sensing image, the feature vectors of the encrypted remote sensing image are constructed by the statistical gray value interval information. Finally, the target image is searched according to the similarity matching algorithm. The experiment uses Landsat 8 remote sensing image and encrypts it. The experimental table shows that the encryption scheme is guaranteed under the non fully trusted cloud environment. At the same time, it can effectively improve the efficiency of remote sensing image search. Local users only need one time of encryption and decryption, the cost of communication is small, and the computational complexity of the algorithm is low.2. The homomorphic encryption scheme based on the most important bit plane (MSB, Most Significant Bit) proposed in this paper can not only be implemented in the cloud environment. The security of the encrypted remote sensing image can be protected effectively. At the same time, the encrypted remote sensing image can operate effectively and linearly. Combining the MSB information of remote sensing images, using the integer based matrix homomorphic encryption algorithm, the gray value of the remote sensing image is evenly distributed in the high frequency region after the encrypted image, and the feature information of the plaintext image is hidden well, and it is not finished. The encrypted remote sensing image can directly support linear operation and can get the difference effect map of the remote sensing images of the same region at different time points through the linear interpolation operation between the bands. In addition, the encrypted image edge message can be directly obtained on the ciphertext by the edge detection operator. In summary, this paper studies the encryption algorithm that supports cipher computable encryption in the untrusted cloud environment. The proposed encryption scheme can support the search and operation of the encrypted image very well. The experiment proves that the encryption algorithm has the advantages of the remote sensing field. Important theoretical research significance and engineering application value.
【學(xué)位授予單位】：上海海洋大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP751
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