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Colour image encryption based on advanced encryption standard algorithm with two-dimensional chaotic map

IET INFORMATION SECURITY 2013年第4期7卷 265-270页

作者： Li, Jianhua Liu, Hui Shijiazhuang TieDao Univ Sch Informat Sci & Technol Shijiazhuang Peoples R China

In this study, a novel scheme of advanced encryption standard (AES) is proposed. Its independent round key is generated by the two-dimensional (2D) Henon map and the 2D Chebyshev map. The goal is to improve the low security and conquer the defect of the traditional AES algorithm. Then, the improved algorithm is used to encrypt colour image, and the result shows that the encryption algorithm has better security by cryptanalysis.

关键词： chaos cryptography Henon mapping image coding image colour analysis cryptanalysis 2D Chebyshev map two-dimensional HeInon map independent round key ABS two-dimensional chaotic map advanced encryption standard algorithm colour image encryption

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A low-cost and highly compact FPGA-based encryption/decryption architecture for AES algorithm

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IEEE LATIN AMERICA TRANSACTIONS 2021年第9期19卷 1443-1450页

作者： Equihua, Christian Anides, Esteban Garcia, Luis Vazquez, Eduardo Sanchez, Gabriel Avalos, Juan-Gerardo Sanchez, Giovanny Inst Politecn Nacl ESIME Culhuacan Ciudad De Mexico Mexico

Nowadays, the design of ultra-compact area advanced encryption standard (AES) architectures is highly demanded by the electronics industry since many of these architectures are embedded in portable devices, such as smart phones, tablets, etc., in which the area is critically limited. Until now, many approaches have been proposed to create high-processing and compact architectures. However, the area consumption is still a factor to be improved. In this paper, a highly compact encryption/decryption architecture, which is implemented in a low-cost FPGA, to efficiently simulate the AES algorithm, is proposed. Specifically, an optimized Galois Field Multiplier, which is the most demanding operation in terms of area consumption and processing speed, involved in Mix-Columns and Inverse Mix-Columns transformations, is presented. Therefore, the optimization of the proposed GF (28) multiplier by two has allowed to us create an ultra-compact Mix-Columns circuit since this circuit involves large number of multiplications. In addition, the design involves a routing circuit which allowed the proposed architecture to perform encryption or decryption by using common modules. The results demonstrate that the proposed digital circuit expends fewer LUTs and fewer registers when compared with the most compact encryption/decryption architectures reported to date.

关键词： Hardware Computer architecture Field programmable gate arrays encryption Table lookup standards IEEE transactions FPGA AES advanced encryption standard algorithm encryptor decryptor GF (28) multiplier

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Low Area FPGA Implementation of AES Architecture with EPRNG for IoT Application

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JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS 2022年第2期38卷 181-193页

作者： Siva Balan, N. Murugan, B. S. Kalasalingam Acad Res & Educ Dept CSE Srivilliputtur 626128 Tamil Nadu India

Nowadays, the Internet of Things (IoT) is widely used in the daily lives of humans, which range from tiny wearable devices to huge industrial systems. However, designing the IoT application is difficult, because the devices in the IoT network are susceptible to security threats (e.g. malicious attacks). Therefore, an effective cryptographic process must be developed with a minimum amount of hardware resources. In this paper, an optimized advanced encryption standard (AES) architecture is proposed to improve the security between the IoT devices. The following key strategies are involved in the proposed AES architecture: 1) Efficient Pseudo Random Number Generator (EPRNG) using the two-level True Random Number Generator based key generation module is used to generate a different optimal key value for each clock cycle, 2) the number of logical elements used in the AES architecture is minimized because there is no registers are required for storing the generated keys as it is automatic key generation. The performances of the EPRNG-AES architecture are analyzed in terms of the number of slice registers, flip flops, number of slice Look Up Table (LUT), number of logical elements, slices, bonded Input/ Output Block (IOB), power, delay, and operating frequency. The EPRNG-AES architecture is evaluated with five different AES architectures such as AES-PNSG, LAES, AES-HLS, AES-CTR and AES-MMC. The EPRNG-AES architecture designed in the Kintex 7 uses 153 slices, which is less when compared with the number of slices in LAES and AES-HLS.

关键词： advanced encryption standard algorithm Efficient pseudo random number generator Internet of things Security threats Two-level true random number generator

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Secure data transmission in wireless networking through node deployment and Artificial Bird optimized deep learning network

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TELECOMMUNICATION SYSTEMS 2024年第4期87卷 1067-1086页

作者： Luqman, Mohammad Faridi, Arman Rasool Aligarh Muslim Univ Dept Comp Sci Aligarh India

In the wireless sensor network (WSN), ensuring secure routing in the network is a crucial and critical task. Providing security and sustaining energy is still a difficult problem in the research community, despite the network's adoption of multiple routing protocols. However, the traditional protocols encountered multiple challenges as the network's adoption is far more susceptible to attacks, tampering, and manipulation due to the deployment scenario, the characteristics of the sensor-equipped nodes, and their communication protocols. Consequently, an optimal solution to ensure secure node deployment for wireless network systems utilizing the Artificial Bird Optimization-based Deep Convolutional Neural Network in conjunction with the Modified advanced encryption standard algorithm (ABO-mAES-DCNN) is developed in this research for effectively encrypting and managing the duty cycles. Specifically, the regional clustering with adaptive region partitioning enabled in this research is used to choose the cluster head. The region-based clustering's adaptive partitioning feature dynamically modifies the domain's partitions or areas to ensure an even distribution of nodes. The proposed research exploits the deep CNN classifier, which precisely identifies the nodes' states adaptively selects each node's scheduling mode, and carries out effective Duty cycle management. Further, the Modified advanced encryption standard algorithm (mAES) is adopted to secure the data after identifying the node's state. Specifically, Artificial Bird Optimization is utilized for optimum path selection and assists in minimizing energy consumption. The proposed ABO-mAES-DCNN model's performance is reported in terms of alive nodes, delay, energy, and throughput as 14, 0.01 ms, 0.41 J, and 0.55 bps respectively for 100 nodes. With 200 nodes analysis, the ABO-mAES-DCNN model attained 115 alive nodes, a delay of 0.01 ms, energy of 0.35 J, and throughput of 0.47 bps and surpassed other existing techniqu

关键词： Wireless sensor networks Data transmission Artificial Bird Optimization advanced encryption standard algorithm Node deployment

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Enhancing Security Using Secure Authentication Model in Fog Computing Model

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WIRELESS PERSONAL COMMUNICATIONS 2023年第2期130卷 909-933页

作者： Satheesh, Kavuri K. S. V. A. Sree, T. Krishna Vasireddy Venkatadri Inst Technol Guntur 522508 Andhra Pradesh India PVPSIT Vijayawada India

Fog computing network plays a significant role in enhancing the communication between the end users and the cloud server accompanying high security. The quality of service of the systems could be greatly enhanced by these fog computing technologies that provide high computation capability, storage and enhanced network connectivity. The transmission of data through this technology is highly vulnerable to various threatening especially medical data are highly vulnerable due to their sensitivity. In this research, a trust based fog computing authentication model is enabled for assuring the security of the data transmission. The proposed model is executed in five different phases that includes setup phase, user registration phase, Fog node registration phase, login phase and authentication phase and each phase performs a specific function to improve the security. In each phase the data are transmitted in the encrypted form that is performed using the advanced encryption standard algorithm that ensured the security of the data and this algorithm could be enabled to both public and private sectors. In every phase the data are authenticated and the users are validated for the proceeding of authentication and this authorized access enhances the security level of the systems. The efficiency of the proposed trust based fog computing authentication model is proved by measuring the parameters detection rate, computation time, storage capability, vulnerability rate and privacy ratio that attained the improvement of 5% in detection rate, 42% in computational time, 31.51% memory usage, 82.41% vulnerability rate and 27.53% privacy ratio that shows the superiority of the proposed method.

关键词： Fog computing Trust based fog computing authentication model advanced encryption standard algorithm Authentication Security

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Research on a high-order AES mask anti-power attack

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IET INFORMATION SECURITY 2020年第5期14卷 580-586页

作者： Ou, Yu Li, Lang Hunan Normal Univ Coll Informat Sci & Engn Changsha 410081 Peoples R China Hunan Prov Key Lab Intelligent Informat Proc & Ap Hengyang 421002 Peoples R China Hengyang Normal Univ Coll Comp Sci & Technol Hengyang 421002 Peoples R China

The cryptographic algorithm has been gradually improved in design, but its implementations are vulnerable to side-channel analysis (SCA). Generally speaking, adding a mask to the primitive is the best way to counteract SCA. In the high-order mask, the key to affecting performance and security lies in the multiplication design. Based on the research of the advanced encryption standard (AES) algorithm, internal round function structure, and zero-knowledge proof, a high-order AES mask scheme is designed to optimise the implementation. In this scheme, the substitution-box protects sensitive variables in the algorithm with the use of secure multiplication and secure inversion by column. The scheme named as in columns higher-order mask (ICHM), features low cost and high security. The result of the experiment proves the security and effectiveness of the ICHM.

关键词： cryptography advanced encryption standard algorithm multiplication design high-order mask side-channel analysis cryptographic algorithm anti-power attack columns higher-order mask secure inversion secure multiplication high-order AES mask scheme zero-knowledge proof internal round function structure

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Cryptanalysis of a novel bitwise XOR rotational algorithm and security for IoT devices

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INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS 2021年第1期25卷 139-147页

作者： Nath, Seema Som, Subhranil Negi, Mukesh Chandra Amity Univ Amity Inst Informat Technol Noida Uttar Pradesh India Tech Mahindra Ltd Pune Maharashtra India

The internet of things (IoT) is a multiple devices, which connects with the internet for communication, in order to obtain the updated from the cloud. The fog can act as a controller and it is located between the IoT devices and cloud. The major attacks like de-synchronization, and disclosure has arises in the devices, this has been prevented. The major contribution in this work is key generation and authentication, for key generation the "advanced encryption standard algorithm" is developed, in which the new and old keys are generated. The encryption is done under the source side, and decryption is done under the device side. The fog security is maintained through "device tag, and bit wise XOR rotational algorithm". The security, and the computational complexity is defined in this work and it is given in table format. The implementations are carried out in the MATLAB R2016 a. The proposed algorithm is compared with the existing protocols like LMAP, M2AP, EMAP, SASI, and RAPP, from the comparison the proposed methodology makes the better knowledge about the security and prevents from various attacks.

关键词： Cloud fog internet of things advanced encryption standard algorithm bit wise XOR rotational algorithm

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An improved secure file deduplication avoidance using CKHO based deep learning model in a cloud environment

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JOURNAL OF SUPERCOMPUTING 2022年第13期78卷 14892-14918页

作者： Mageshkumar, N. Lakshmanan, L. Sathyabama Inst Sci & Technol Dept Comp Sci & Engn Chennai 600119 Tamil Nadu India

Data deduplication is a process that gets rid of excessive duplicates of data and minimizes the storage capacity to a large extent. This process mainly optimizes redundancies without compromising the data fidelity or integrity. However, the major challenge faced by most data deduplication systems is secure cloud storage. Cloud computing relies on the ability and security of all information. In the case of distributed storage, data protection and security are critical. This paper presents a Secure Cloud Framework for owners to effectively handle cloud-based information and provide high security for information (SCF). Weaknesses, Cross-Site Scripting (XSS), SQL perfusion, adverse processing, and wrapping are all examples of significant attacks in the cloud. This paper proposes an improved Secure File Deduplication Avoidance (SFDA) algorithm for block-level deduplication and security. The deduplication process allows cloud customers to adequately manage the distributed storage space by avoiding redundant information and saving transfer speed. A deep learning classifier is used to distinguish the familiar and unfamiliar data. A dynamic perfect hashing scheme is used in the SFDA approach to perform convergent encryption and offer secure storage. The Chaotic krill herd optimization (CKHO) algorithm is used for the optimal secret key generation process of the advanced encryption standard (AES) algorithm. In this way, the unfamiliar data are encrypted one more time and stored in the cloud. The efficiency of the results is demonstrated via the experiments conducted in terms of computational cost, communication overhead, deduplication rate, and attack level. For file sizes of 8 MB, 16 MB, 32 MB, and 64 MB, the proposed methodology yields a deduplication rate of 53%, 62%, 54%, and 44%, respectively. The dynamic perfect hashing and the optimal key generation using the CKHO algorithm minimizes the data update time and the time taken to update a total of 1024 MB data is 341.5 ms.

关键词： Deduplication Improved secure file deduplication avoidance advanced encryption standard algorithm Block-level deduplication Deep learning Optimal secret key generation

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Implementation of the AES algorithm Using a Reconfigurable Functional Unit

Implementation of the AES Algorithm Using a Reconfigurable F...

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10th International Symposium on Signals, Circuits and Systems (ISSCS)

作者： Cardarilli, G. C. Di Nunzio, L. Fazzolari, R. Pontarelli, S. Re, M. Salsano, A. Univ Roma Tor Vergata I-00133 Rome Italy

ISBN: (纸本)9781457702013

Nowadays programmable devices (microprocessors and DSPs) are based on complex architectures optimized for obtaining maximum speed performances that degrades when the implemented application is mostly based on operations on single bit or subset of bits. This kind of data processing and bit manipulation operations can be accelerated by using a Reconfigurable Functional Unit (RFU). In this paper the benefits of using the ADAPTO RFU (Adder-Based Dynamic Architecture for Processing Tailored Operators) [1] [2] to speed up the advanced encryption standard algorithm (AES) is investigated. The paper shows how the ADAPTO architecture is useful for the acceleration the AES algorithm due the efficient implementation of the most complex operations of the algorithm. A comparison in terms of number of assembly instructions is given.

关键词： ADAPTO RFU AES algorithm Context DSP Polynomials Program processors Radio frequency Table lookup adder-based dynamic architecture for processing tailored operators adders advanced encryption standard algorithm assembly instructions bit manipulation operations cryptography data processing digital signal processing chips microprocessor chips microprocessors programmable devices reconfigurable functional unit

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A Comparison of Cloud Security Mechanisms 2

A Comparison of Cloud Security Mechanisms

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2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Saravanan, D. Maragatharajan, M. Nirmala, E. Naveen, P. Francis Saviour Devaraj, A. School of Computing Science and Engineering VIT Bhopal University Madhya Pradesh Kothrikalan India Department of Electrical and Electronics Engnieering KPR Institute of Engineering and Technology Tamil Nadu Coimbatore India Department of IT College of Computing & Information Sciences University of Technology and Applied Sciences Ibri Oman

ISBN: (纸本)9798350340235

Cloud computing is a broad term that can be understood differently depending on the context. Its primary goal is to reduce capital expenses on infrastructure, operating systems, deployment, and storage. The National Institute of standards and Technology (NIST) defines cloud computing as on-demand network access to a shared pool of computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Cloud computing operates using virtualization and parallel computing principles and provides services like IaaS, PaaS, SaaS, and NaaS. The cloud is classified into public, private, hybrid, and community clouds, each with its own unique features. The major issue of cloud computing is to transfer the data with security breaches. Various security systems are available to protect the data security in the cloud. This research study has discussed some security models like advanced encryption standard algorithm, Biometric model, Elliptic-curve cryptography with Diffie-Hellman algorithm and a new technique vector-matrix based encryption algorithm. The execution time for these algorithms were compared and results were discussed. © 2023 IEEE.

关键词： advanced encryption standard algorithm Biometric model Cloud security Decryption Diffie-Hellman algorithm Elliptic-curve cryptography Hybrid cloud vector-matrix based encryption algorithm

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