信息保護在當(dāng)今已經(jīng)成為一個重要的研究方向。有史以來人們對于私密信息保護的探索從未停止。到了現(xiàn)代,我們的社會已經(jīng)被各種各樣的信息充斥、填滿,其中就包括很多不能公開的數(shù)據(jù)。這些私密的數(shù)據(jù)在傳播的過程中,就面臨著被盜用或者刻意改寫的風(fēng)險。傳統(tǒng)的信息攻擊大都基于互聯(lián)網(wǎng),這是因為在網(wǎng)絡(luò)中,所有的數(shù)據(jù)都是以數(shù)字信號的形式存儲的。傳統(tǒng)保護信息的方法主要有密碼學(xué)和隱寫術(shù)。在本文中,我們分別從兩個方面,結(jié)合了當(dāng)前技術(shù)的進展,研究了基于物理與視覺感知模型的信息保護問題。首先,我們對物理密碼破解的過程進行了建模,以此來幫助用戶更好地保護信息。在研究中,我們假設(shè)攻擊者在用戶輸入完密碼并且離開之后才進行密碼的竊取。他們使用紅外相機對用戶輸入密碼的痕跡進行偷拍和分析,進而分析出密碼。我們探索了基于紅外相機的密碼攻擊對于信息安全的威脅性。我們首先對紅外序列進行了建模,然后利用最大似然函數(shù)法進行模型的求解。在這個過程中,最大的挑戰(zhàn)在于模型的建立,其次是如何優(yōu)雅并且有效率地求解該模型。我們在研究中通過對紅外序列的深入分析解決了上述兩個問題。最后,我們提出了一系列可以幫助用戶保護密碼的建議。其次,我們研究了針對單人用戶的... 

【文章來源】：上海交通大學(xué)上海市 211工程院校 985工程院校 教育部直屬院校

【文章頁數(shù)】：150 頁

【學(xué)位級別】：博士

【文章目錄】：
Acknowledgements
ABSTRACT
摘要
Nomenclature
Chapter 1 Introduction
    1.1 Background
        1.1.1 Password Protection
        1.1.2 Visual Information Protection
    1.2 Related Work
        1.2.1 Cryptography and Image Steganography
        1.2.2 Physical Password Breaking
        1.2.3 Visual Masking
        1.2.4 Information Hiding by TPVM
    1.3 Challenges
        1.3.1 Modeling and Solving Thermal Attack
        1.3.2 Information Hiding for One Single User
        1.3.3 Information Hiding for Multiple Users
        1.3.4 Misleading Image for Information Hiding
    1.4 Contributions
    1.5 Organization
Chapter 2 Physical Password Breaking via Thermal Sequence Analysis
    2.1 Introduction
    2.2 Problem Description
    2.3 Methodology
        2.3.1 Workflow of the System
        2.3.2 Physical Model for Temperature Decreasing on the Keys
        2.3.3 Estimate Key Touching Time with the Physical Model
        2.3.4 Password Estimation
    2.4 Experiment and Discussion
        2.4.1 Benchmark
        2.4.2 Evaluation Metrics
        2.4.3 Experiment
        2.4.4 Discussion
    2.5 Conclusion
Chapter 3 Information Hiding for One Single User
    3.1 Introduction
    3.2 Multi-channel visual masking
        3.2.1 Visual Masking by Linear Combination
        3.2.2 Visual Masking with Masking Effect Map (MEM)
    3.3 Experiments and Discussion
        3.3.1 Linear Combination v.s. MEM based Approach
        3.3.2 Comparison with the Benchmark
        3.3.3 Effectiveness of Misleading Images
        3.3.4 Discussion of Visual Masks
        3.3.5 Influence of Attack Types
    3.4 Conclusion
Chapter 4 Information Hiding for Multiple Users
    4.1 Introduction
    4.2 Method
        4.2.1 Network with the Disturbing Module
        4.2.2 Loss Function
        4.2.3 Patch GAN
    4.3 Experiments
        4.3.1 Benchmark
        4.3.2 Restoration Accuracy
        4.3.3 Converging Speed
        4.3.4 Generalization
        4.3.5 Ablation Study
    4.4 Conclusion
Chapter 5 Misleading Information Selection for Information Protection
    5.1 Introduction
    5.2 Related Work
        5.2.1 Place Recognition
        5.2.2 Domain Adaptation
    5.3 Method
        5.3.1 Retrieving Images
        5.3.2 Information Hiding with Misleading Image Selection
    5.4 Experiments
        5.4.1 Datasets and Evaluation Metric
        5.4.2 Results and Discussion
    5.5 Conclusion
Chapter 6 Summary and Future Work
    6.1 Summary
    6.2 Future Work
Bibliography
Publications
Patents



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