Secured Key Generation for Biometric Encryption using Hyper-chaotic Map and DNA Sequences

2021 ◽  
Author(s):  
Nalini M.K ◽  
Radhika K.R
Keyword(s):  
Dna Sequences ◽  
Chaotic Map ◽  
Key Generation ◽  
Biometric Encryption

scholarly journals 3S-IoT an Algorithm to make the Network Secured and Smart

2020 ◽  
Author(s):  
Maneesh Pant ◽  
Brij Mohan Singh ◽  
Dharam Vir Gupta
Keyword(s):  
Denial Of Service ◽  
Chaotic Map ◽  
High Energy ◽  
Key Generation ◽  
Multicast Communication ◽  
Multicast Traffic ◽  
Proposed Model ◽  
Man In The Middle ◽  
Multicast Communications ◽  
Actuator Control

Abstract Internet of Things (IoT) evolving and widespread presence has made the lives of all comfortable and handy, while on the other hand posing various challenges, i.e. less efficiency, less security, and high energy drain, threatening smart IoT-based applications. Compared to unicast communication, multicast communication is considered more powerful in group-oriented systems, because transmission takes place using less resources. This is why many of the IoT applications rely on multicast in their transmission. This multicast traffic needs to be handled explicitly for sensitive applications requiring actuator control. Securing multicast traffic by itself is cumbersome as it requires an efficient and flexible Group Key Establishment (GKE) protocol. We propose a three-tier model that can, not only be used to control the IoT, but also to control multicast communications. The architecture is built with a 256-bit keyless encryption technique to protect the authentication to create the network link. Machine learning-based chaotic map key generation is used to protect GKE. Finally, using MD5, the system key is authenticated. The algorithm is checked for energy used, bandwidth, and time taken. The proposed model is applied and evaluated against numerous benchmark attacks such as Distributed Denial of Service (DDoS), Man in the Middle and Fishing.

Combining Watermarking and Hyper-Chaotic Map to Enhance the Security of Stored Biometric Templates

2019 ◽  
Vol 63 (3) ◽  
pp. 479-493 ◽  
Author(s):  
Wadood Abdul ◽  
Ohoud Nafea ◽  
Sanaa Ghouzali
Keyword(s):  
Chaotic Map ◽  
Hybrid Approach ◽  
Discrete Wavelet ◽  
Mean Values ◽  
Face Images ◽  
Biometric Template ◽  
Watermark Embedding ◽  
Biometric Encryption ◽  
The Face ◽  
Template Protection

AbstractThere are a number of issues related to the development of biometric authentication systems, such as privacy breach, consequential security and biometric template storage. Thus, the current paper aims to address these issues through the hybrid approach of watermarking with biometric encryption. A multimodal biometric template protection approach with fusion at score level using fingerprint and face templates is proposed. The proposed approach includes two basic stages, enrollment stage and verification stage. During the enrollment stage, discrete wavelet transform (DWT) is applied on the face images to embed the fingerprint features into different directional sub-bands. Watermark embedding and extraction are done by quantizing the mean values of the wavelet coefficients. Subsequently, the inverse DWT is applied to obtain the watermarked image. Following this, a unique token is assigned for each genuine user and a hyper-chaotic map is used to produce a key stream in order to encrypt a watermarked image using block-cipher. The experimentation results indicate the efficiency of the proposed approach in term of achieving a reasonable error rate of 3.87%.

scholarly journals AES WITH CHAOTIC USING CHEBYSHEV POLYNOMIAL

2018 ◽  
Vol 44 (2) ◽  
pp. 35-40
Author(s):  
Tanya jabor ◽  
Hiba Taresh ◽  
Alaa Raheema
Keyword(s):  
Real Time ◽  
Personal Information ◽  
Chaotic Map ◽  
Encryption Algorithm ◽  
The Internet ◽  
Key Generation ◽  
Generation Algorithm ◽  
Critical Data ◽  
Encryption And Decryption ◽  
Day By Day

All the important information is exchanged between facilities using the internet and networks, all these data should besecret and secured probably, the personal information of person in each of these institutions day by day need to organized secretlyand the need of the cryptography systems is raised which can easily encrypt the personal and critical data and it can be shared withother centers via internet without and concerns about privacy. Chaotic performance is added to different phases of AES but very few apply it on key generation and choosing ChebyshevPolynomial will provide a chaotic map which will led to random strong key. our system based on modified advanced encryptionstandard (AES) , with encryption and decryption in real time taking to consideration the criticality of data images that beenencrypted the main encryption algorithm is the same the modification is done by replacing the key generation algorithm byChebyshev Polynomial to generate key with the required key size.

scholarly journals A Novel Color Image Encryption Algorithm Based on Hyperchaotic Maps and Mitochondrial DNA Sequences

Entropy ◽  
2020 ◽  
Vol 22 (2) ◽  
pp. 158
Author(s):  
Heba G. Mohamed ◽  
Dalia H. ElKamchouchi ◽  
Karim H. Moussa
Keyword(s):  
Image Encryption ◽  
Dna Sequences ◽  
Color Image ◽  
Chaotic Map ◽  
Color Image Encryption ◽  
Plain Text ◽  
Differential Attacks ◽  
Image Encryption Algorithm ◽  
Multimedia Encryption ◽  
Human Mitochondrial Genome

Multimedia encryption innovation is one of the primary ways of securely and privately guaranteeing the security of media transmission. There are many advantages when utilizing the attributes of chaos, for example, arbitrariness, consistency, ergodicity, and initial condition affectability, for any covert multimedia transmission. Additionally, many more benefits can be introduced with the exceptional space compliance, unique information, and processing capability of real mitochondrial deoxyribonucleic acid (mtDNA). In this article, color image encryption employs a confusion process based on a hybrid chaotic map, first to split each channel of color images into n-clusters; then to create global shuffling over the whole image; and finally, to apply intrapixel shuffling in each cluster, which results in very disordered pixels in the encrypted image. Then, it utilizes the rationale of human mitochondrial genome mtDNA to diffuse the previously confused pixel values. Hypothetical examination and trial results demonstrate that the anticipated scheme exhibits outstanding encryption, as well as successfully opposes chosen/known plain text, statistical, and differential attacks.

scholarly journals Image Encryption Algorithm Based on DNA Encoding and Chaotic Maps

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Jian Zhang ◽  
DongXin Fang ◽  
Honge Ren
Keyword(s):  
Image Encryption ◽  
Dna Sequences ◽  
Random Number ◽  
Chaotic Maps ◽  
Chaotic Map ◽  
Security Analysis ◽  
Encryption Algorithm ◽  
Dna Encoding ◽  
Before And After ◽  
Image Encryption Algorithm

We propose a new image encryption algorithm based on DNA sequences combined with chaotic maps. This algorithm has two innovations: (1) it diffuses the pixels by transforming the nucleotides into corresponding base pairs a random number of times and (2) it confuses the pixels by a chaotic index based on a chaotic map. For any size of the original grayscale image, the rows and columns are fist exchanged by the arrays generated by a logistic chaotic map. Secondly, each pixel that has been confused is encoded into four nucleotides according to the DNA coding. Thirdly, each nucleotide is transformed into the corresponding base pair a random number of time(s) by a series of iterative computations based on Chebyshev’s chaotic map. Experimental results indicate that the key account of this algorithm is 1.536 × 10127, the correlation coefficient of a 256 × 256 Lena image between, before, and after the encryption processes was 0.0028, and the information entropy of the encrypted image was 7.9854. These simulation results and security analysis show that the proposed algorithm not only has good encryption effect, but also has the ability to repel exhaustive, statistical, differential, and noise attacks.

scholarly journals 3S-IoT an Algorithm to make the Network Secure and Smart

2021 ◽  
Author(s):  
maneesh pant ◽  
Brijmohan Singh ◽  
Dharam Vir Gupta
Keyword(s):  
Denial Of Service ◽  
Chaotic Map ◽  
High Energy ◽  
Key Generation ◽  
Multicast Traffic ◽  
Proposed Model ◽  
Man In The Middle ◽  
Multicast Communications ◽  
Actuator Control ◽  
And Control

Abstract The growing and widespread presence of Internet of Things (IoT) has made the lives of all comfortable and handy, but poses various challenges, like efficiency, security, and high energy drain, threatening smart IoT-based applications. Small applications rely on Unicast communication. In a group-oriented communication, multicast is better as transmission takes place using fewer resources. Therefore, many IoT applications rely on multicast transmission. To handle sensitive applications, the multicast traffic requires an actuator control. Securing multicast traffic by itself is cumbersome, as it expects an efficient and flexible Group Key Establishment (GKE) protocol. The paper proposes a three-tier model that can control the IoT and control multicast communications. The first authentication is at network linking where we used a 256-bit keyless encryption technique. Machine learning-based chaotic map key generation authenticates the GKE. Finally, MD5 establishes the system key. 3S-IoT is smart to detect any tempering with the devices. It stores signatures of the connected devices. The algorithm reports any attempt to change or temper a device. 3S-IoT can thwart attacks such as Distributed Denial of Service (DDoS), Man-in-the-Middle (MiTM), phishing, and more. We calculated energy consumed, bandwidth, and the time taken to check the robustness of the proposed model. The results establish that 3S-IoT can efficiently deal with the attacks. The paper compares 3S-IoT with Benchmark algorithms.

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