IEPSBP A Cost-efficient Image Encryption Algorithm based on Parallel Chaotic System for Green IoT
ABSTARCT :
With the fast development of the Internet of Things (IoT) technologies, more IoT devices are currently connected with the Internet, resulting in more exchange of information. However, data privacy and security threats have become emerging challenges of the IoT. In this paper, we are concerned about the security of image transmission in green IoT. Image encryption algorithms for green IoT are faced with two challenges. 1) To save the cost, devices in green Internet of Things (IoT) always have very low computing power, so they cannot support high-precision computing. 2) The algorithm deployed on the device should be efficient to guarantee the device to run for a long time. To solve the problem of precision limited, we propose a parallel chaotic system named PSBPPSBP: The first three letters represent three chaotic functions, and the last letter represents the parallel mode.. The PSBP is composed of Piecewise Linear Chaotic Map (PWLCM), Skew Tent Map(STM) and Bernoulli map in parallel model with the limited precision of 16-bit, which can generate good-performance key matrix for encryption. Then, we introduce a cost-efficient image encryption algorithm based on PSBP (named IEPSBP) which addresses the second challenge. Instead of bits or bytes, we use one row or one column as the basic unit to realize permutation and diffusion. The security analysis and performance experiments indicate that IEPSBP is secure and cost-efficient for green IoT.
EXISTING SYSTEM :
? There are a few issues in cloud-based IoT applications, some of these issues relates to the latency, and security, which can be tackled with existing of fog computing and edge computing paradigms.
? We are on the verge of smart cities through realizing IoT application with the existence of cloud computing for storing and analyzing data generated by IoT.
? The IoT devices have their very own unique digital identities all together for these devices to communicate in a consistent manner.
? Therefore, security and privacy protection is a key concern during transmitting such sensitive data across the IoT network to be processed and stored on Cloud.
? Therefore, IoT devices have the capacity to detect, gather, dissect, screen, and convey information on a monstrous scale.
DISADVANTAGE :
? Data distribution over the physical medium and Internet has been increasing day by day which makes data security to become a concerning issue.
? Data security should avoid eavesdropping and provide confidentiality by encrypting the multimedia element.
? Data privacy along with data security is a concerning issue for today’s Internet world.
? For developing these issues, a secure lightweight image encryption algorithm was designed for smart cities and IoT-enabled devices.
? A good image encryption system is very much sensitive to the key. A little bit of change in the input key has a larger impact on the encryption system.
PROPOSED SYSTEM :
• In this paper, we proposed a lightweight encryption model that complies with the limited resources of IoT devices in terms of process and memory.
• The proposed model in this paper achieves a high level of security for the transmitted data through a constant change of the key used for encrypting of transmitting data.
• Many approaches have been proposed to tackle the issue of securing the data transmission within IoT network with consideration of the limited resources of IoT devices.
• A Chaos-Based cryptosystem was proposed in for encrypting the streaming of surveillance cameras.
• The key size used to encrypt transmitted data in the proposed model is large enough which makes it hard to break by the attackers.
ADVANTAGE :
? The performance of the algorithm is suitable for real-time applications, and its safety is observed via different studies such as randomness analysis, sensitivity analysis, encryption quality analysis, differential analysis, statistical analysis, visual analysis, and attack analysis.
? The method evaluates the performance of various 1D chaotic maps for encrypting images.
? To design a lightweight image encryption method that requires less time, less value for key transformation, and ensures lower correlation coefficients between adjacent pixels of the encrypted image.
? A secure and time-efficient image encryption method was proposed based on permutation, diffusion, and multiple one-dimensional (1D) chaotic maps.
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