Most image encryption algorithms based on low-dimensional chaos systems bear security risks and suffer encryption data expansion when adopting nonlinear transformation directly. To overcome these weaknesses and reduce the possible transmission burden, an efficient image compression–encryption scheme based on hyper-chaotic system and 2D compressive sensing is proposed. The original image is measured by the measurement matrices in two directions to achieve compression and encryption simultaneously, and then the resulting image is re-encrypted by the cycle shift operation controlled by a hyper-chaotic system. Cycle shift operation can change the values of the pixels efficiently. The proposed cryptosystem decreases the volume of data to be transmitted and simplifies the keys distribution simultaneously as a nonlinear encryption system. Simulation results verify the validity and the reliability of the proposed algorithm with acceptable compression and security performance.

Image compression–encryption scheme based on hyper-chaotic system and 2D compressive sensing

Color image encryption based on hybrid hyper-chaotic system and cellular automata

A novel image encryption algorithm using chaos and reversible cellular automata

An authenticated image encryption scheme based on chaotic maps and memory cellular automata

An image encryption scheme is proposed using high-dimensional chaotic systems and cycle operation for DNA sequences. In the scheme, the pixels of the original image are encoded randomly with the DNA coding rule controlled by a key stream produced from Chen’s hyper-chaos. In addition to confusion on the DNA sequence matrix with Lorenz system, a cycle operation for DNA sequences is projected to diffuse the pixel values of the image. In order to enhance the diffusion effect, a bitwise exclusive-OR operation is carried out for the decoded matrices with a binary key stream, and then the cipher-image is obtained. Simulation results demonstrate that the proposed image encryption scheme with acceptable robustness is secure against exhaustive attack, statistical attack and differential attack.

An image encryption scheme combining chaos with cycle operation for DNA sequences

The chaos based cryptographic algorithms have suggested several advantages over the traditional encryption algorithms such as high security, speed, reasonable computational overheads and computational power This paper introduces an efficient chaos-based stream cipher, composing two chaotic logistic maps and a large enough external secret key for image encryption The external secret key is used to derive the initial conditions for the chaotic maps, and is employed with the two chaotic maps to confuse the relationship between the cipher image and the plain image In the encryption phase, the pixels are encrypted using an iterative cipher module based feedback and data-dependent inputs mechanism for mixing the current encryption parameters with previously encrypted information To make the cipher more robust against any attack, the secret key is modified after encryption of each pixel of the plain image The results of several experimental, statistical analysis and key sensitivity tests show that the proposed image encryption scheme provides an efficient and secure way for real-time image encryption and transmission

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A Digital Image Encryption Algorithm Based a Composition of Two Chaotic Logistic Maps

A cryptosystem based on elementary cellular automata

Even though the ad-hoc on-demand distance vector (AODV) is a broadly used routing protocol for mobile ad-hoc networks (MANETs), it is vulnerable to a blackhole attack. Lu et al. developed a secure MANET routing protocol called SAODV to address the security weakness associated with the original AODV protocol and to remedy the blackhole attack. Specifically, the SAODV protocol can protect against blackhole attack performed by a malicious node during the routing process. However, it cannot resist the cooperative blackhole attack, in which two nodes are participating together to mount such attack. Therefore, this paper proposes a secure MANET routing protocol called BP-AODV to overcome the security breaches related to the SAODV protocol along with the original AODV protocol. In addition, the BP-AODV is able to protect against a cooperative blackhole attack launched during the routing process and guards against the blackhole attack that might take place during the forwarding process. The BP-AODV is developed by extending the functionality of the AODV protocol along with utilizing the chaotic map features. The experimental results assure that the BP-AODV protocol is more secure than the SAODV protocol and can effectively fight the blackhole attack achieved by a malicious node or cooperative malicious nodes during the routing process. The results also reveal that the BP-AODV can strongly guard against the blackhole attack that occurs during the forwarding process.

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BP-AODV: Blackhole Protected AODV Routing Protocol for MANETs Based on Chaotic Map

Based on memory reversible cellular automata, a new self-adaptive image encryption is proposed in this paper. The self-adaptive encryption is realized by dividing the image data in to equal halves and then encrypting each half of image data using other mutually. We utilize cellular neural network chaotic system as a pseudo-random key sequence generation. Simulation results on some gray level images confirm that the proposed algorithm can be realized easily while guaranteeing high security and sensitivity levels, and other properties such as randomness.

Hossam Diab

Papers

A Digital Image Encryption Algorithm Based a Composition of Two Chaotic Logistic Maps

A cryptosystem based on elementary cellular automata

BP-AODV: Blackhole Protected AODV Routing Protocol for MANETs Based on Chaotic Map

Self-adaptive image encryption based on memory cellular automata

SPCBC: A Secure Parallel Cipher Block Chaining Mode of Operation based on logistic Chaotic Map