Roadmap on optical security

Postprint (author's final draft

Robust Color Image Encryption Scheme Based on RSA via DCT by Using an Advanced Logic Design Approach

تتزايد أهمية أمن المعلومات في تخزين البيانات ونقلها. من جانب اخر يتم استخدام الصور في العديد من الإجراءات. لذلك ، يعد منع الوصول غير المصرح به إلى بيانات الصورة أمرًا بالغ الأهمية من خلال تشفير الصور لاجل حماية البيانات الحساسة او الخصوصية. تتنوع طرق وخوارزميات إخفاء الصور أو تشفيرها من طرق المجال المكاني البسيطة إلى طرق مجال التردد والذي يعتبر الأكثر تعقيدًا وموثوقية. في هذا البحث ، نقترح نظام تشفير جديد يعتمد على منهجية تهجين مولد المفتاح العشوائي من خلال الاستفادة من خصائص DCT لتوليد مجموعة غير محددة من المفاتيح العشوائية والاستفادة من معاملات المنطقة منخفضة التردد بعد مرحلة DCT لتمريرها إلى نظام فرعي يتكون من مجموعة RLG للحصول على المفاتيح السرية التي يتم تمريرها إلى RSA لتنتهي بتشفير الصورة. تشير النتائج إلى أن الطريقة المقترحة لها القدرة على تولد مجموعة كبيرة جدًا من المفاتيح السرية شديدة التعقيد والآمنة التي يمكن استخدامها لاحقًا في مرحلة التشفير. علاوة على ذلك ، سيتغير عدد وتعقيد تلك المفاتيح في كل مرة يتم فيها تغيير الصورة، وهذا يمثل مساهمة الطريقة المقترحة. ولم نلاحظ اي ضياع للوقت أثناء عمليات التشفير وفك التشفير لاستخدامنا RLG ، مما يدل على أن النظام المقترح قام بعمل جيد في صنع مفاتيح مختلفة من نفس الصورة. ويختلف في قوة المفتاح من صورة إلى أخرى حسب طبيعة الصورة الملونة.Information security in data storage and transmission is increasingly important. On the other hand, images are used in many procedures. Therefore, preventing unauthorized access to image data is crucial by encrypting images to protect sensitive data or privacy. The methods and algorithms for masking or encoding images vary from simple spatial-domain methods to frequency-domain methods, which are the most complex and reliable. In this paper, a new cryptographic system based on the random key generator hybridization methodology by taking advantage of the properties of Discrete Cosine Transform (DCT) to generate an indefinite set of random keys and taking advantage of the low-frequency region coefficients after the DCT stage to pass them to a subsystem consisting of an Reversible Logic Gate (RLG) group to obtain the secret keys that are passed to Rivest Shamir Adleman (RSA) to finish encrypting the image. The results indicate that the proposed method has the ability to generate a very large set of highly complex and secure secret keys that can be used later in the encryption stage. Moreover, the number and complexity of those keys will change each time the image is changed, and this represents the contribution of the proposed method. They experienced no time loss throughout the encryption and decryption processes when using RLG, which indicates that the proposed system did a good job in making different keys from the same image. And it differs in the strength of the key from one image to another, depending on the nature of the color imge

Steganography A Data Hiding Technique

Steganography implements an encryption technique in which communication takes place by hiding information. A hidden message is the combination of a secret message with the carrier message. This technique can be used to hide the message in an image, a video file, an audio file or in a file system. There are large variety of steganography techniques that will be used for hiding secret information in images. The final output image is called as a stego-image which consists of a secret message or information. Imperceptibility, payload, and robustness are three most important parameters for audio steganography. For a more secure approach, encryption can be used, which will encrypt the secret message using a secret key and then sent to the receiver. The receiver after receiving the message then decrypts the secret message to obtain the original one. In this paper, compared steganography with cryptography, which is an encrypting technique and explained how steganography provides better security in terms of hiding the secret message. In this paper, the various techniques are illustrated, which are used in steganography and studying the implementation of those techniques. Also, demonstrated the implementation process of one of the steganography techniques. A comparative analysis is performed between various steganographic tools by using the sample test images and test data. The quality metrics such as PSNR and SSIM are calculated for the final output images which are used for rating the tools. This paper also discusses about the Steganalysis which is known as the process of identifying the use of steganography

Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

In this paper, we focus on developing a novel mechanism to preserve differential privacy in deep neural networks, such that: (1) The privacy budget consumption is totally independent of the number of training steps; (2) It has the ability to adaptively inject noise into features based on the contribution of each to the output; and (3) It could be applied in a variety of different deep neural networks. To achieve this, we figure out a way to perturb affine transformations of neurons, and loss functions used in deep neural networks. In addition, our mechanism intentionally adds "more noise" into features which are "less relevant" to the model output, and vice-versa. Our theoretical analysis further derives the sensitivities and error bounds of our mechanism. Rigorous experiments conducted on MNIST and CIFAR-10 datasets show that our mechanism is highly effective and outperforms existing solutions.Comment: IEEE ICDM 2017 - regular pape