Security all formats file using hybrid encryption

Data security is the focus of information security. As a primary method, file encryption is adopted for ensuring data security. Encryption algorithms created to meet the Data Encryption Standard (DES) and the Advanced Encryption Standard (AES) are widely used in a variety of systems. These algorithms are computationally highly complex, thus, the efficiency of encrypting or decrypting large files can be drastically reduced. To this end, we propose an optimized algorithm that efficiently encrypts and decrypts large files by parallelizing processing tasks on a single heterogeneous many-core processor in the Sunway TaihuLight computer system. Firstly, we convert the serial DES and AES programs to our experimental platform. Then we implement a task assignment strategy to test the converted algorithms. Finally, in order to optimize parallelized algorithms and improve data transmission performance, we apply the master-slave communication optimization, the three-stage parallel pipeline, and vectorization. Extensive experiments demonstrate that our optimized algorithm is faster than the state-of-the-art open-source implementations of DES and AES. Compared with the serial processing algorithms, our parallelized DES and AES perform nearly 40 times and 72 times faster, respectively. The work described in this paper leverages existing methods and provides a sound basis for the direction of future research in data encryption.

File-sharing activities become a bridge for communication in the form of data between one party and another party. File sharing allows users to share data with other users, by uploading data to the server computer and other users can download data from the server computer. A document security system is indispensable to keep document data safe until its destination. File Web Sharing will transmit data with cryptographic methodologies. The algorithm used is Advanced Encryption Standard (AES), Data Encryption Standard (DES), and Blowfish. This study aims to compare the performance of AES, DES, and Blowfish algorithms when implemented to secure file sharing. Performance research results show that the DES algorithm is on average 8.35% faster than AES and the Blowfish algorithm is 7.11% faster than AES. Memory usage capacity testing shows that the AES algorithm requires 4.82% greater memory capacity than Blowfish, and the DES requires 2.41% greater memory capacity than the Blowfish algorithm. Kegiatan file sharing menjadi jembatan komunikasi data antara satu pihak dengan pihak lainnya. File sharing memberikan pengguna kemampuan untuk berbagi data dengan pengguna lain, dengan cara mengunggah data ke komputer server dan pengguna lain dapat mengunduh data dari komputer server. Sistem keamanan terhadap dokumen sangat diperlukan untuk menjaga data dokumen tetap aman sampai tujuannya. Web File Sharing akan mengirimkan data dengan metodologi kriptografi. Algoritma yang digunakan adalah Advanced Encryption Standard (AES), Data Encryption Standard (DES), dan Blowfish. Penelitian ini bertujuan untuk membandingkan kinerja algoritma AES, DES dan Blowfish saat diimplementasikan untuk mengamankan file sharing. Hasil pengujian kinerja menunjukkan bahwa algoritma DES rata-rata 8,35% lebih cepat dibandingkan AES sedangkan Blowfish 7,11% lebih cepat dibandingkan AES. Berdasarkan pengujian kapasitas penggunaan memori terlihat bahwa AES membutuhkan kapasitas memori 4,82% lebih besar dibandingkan Blowfish dan DES membutuhkan kapasitas memori 2,41% lebih besar dari Blowfish.

<p>Cloud computing has spread widely among different organizations due to its advantages, such as cost reduction, resource pooling, broad network access, and ease of administration. It increases the abilities of physical resources by optimizing shared use. Clients’ valuable items (data and applications) are moved outside of regulatory supervision in a shared environment where many clients are grouped together. However, this process poses security concerns, such as sensitive information theft and personally identifiable data leakage. Many researchers have contributed to reducing the problem of data security in cloud computing by developing a variety of technologies to secure cloud data, including encryption. In this study, a set of encryption algorithms (advance encryption standard (AES), data encryption standard (DES), Blowfish, Rivest-Shamir-Adleman (RSA) encryption, and international data encryption algorithm (IDEA) was compared in terms of security, data encipherment capacity, memory usage, and encipherment time to determine the optimal algorithm for securing cloud information from hackers. Results show that RSA and IDEA are less secure than AES, Blowfish, and DES). The AES algorithm encrypts a huge amount of data, takes the least encipherment time, and is faster than other algorithms, and the Blowfish algorithm requires the least amount of memory space.</p>

The National Institute of Standards and Technology (NIST) of US announced Rijndael algorithm as the advanced encryption standard (AES) in October 2000, Despite AES surpassing in security the data encryption standard (DES), it is still rare to be implemented in smart cards, due to the reason of deficient AES coprocessors. Here a chip operation system (COS) called NexCard, which derived from Microsoft's Windows COS, is used as the AES implementation platform. After a suitable COS architecture design for AES and methodology of efficient memory usage, the simulation result shows that direct embedding AES encryption attains 0.56 ms at system clock 15 MHz on the INFINEON SLE66CX322P chip without existence of coprocessor. Corresponding to the development needs in smart card cryptographic algorithm implementations, and different level of the security design specifications, a concept to conjoin numbers of algorithms into single smart card called cipher system on demand (CSOD) method is accomplished in this study concurrently. This is a method utilizing the multiapplication capability of NexCard v2.0 to execute the same AES algorithm as an on-card applet. Although the performance of CSOD is not as good as AES embedded method, CSOD can provide the same result in the situation of adaptability and extendibility.

With today's development and expansion of networks and internet-connected devices, information security is an issue of increasing concern. Confidentiality is one of the focuses in network security for digital communication systems, where large data blocks go through a cryptographic algorithm with a cipher key that increases the security and complexity of the output ciphertext. For the past several years, multiple security algorithms have been developed and utilized in the data encryption process, such as the Data Encryption Standard (DES), Triple Data Encryption Standard (3DES), and the current one, designated by the U.S. National Institute of Standards and Technology (NIST), the Advanced Encryption Standard (AES). AES is a symmetric encryption algorithm that has a minimum input data block size of 128-bits which undergo a series of permutations, substitutions, and digital logic operations over several rounds. Encryption algorithms are always improving on ciphertext complexity, required hardware storage allocation, and execution time. Field Programmable Gate Arrays (FPGA's) are a hardware alternative for encryption algorithm implementation because, although the logic units in it are fixed, the functions and interconnections between them are based on the user's design which allow for improvement. The research presented focuses on the development and analysis of an efficient AES-128 Mix Columns algorithm implementation, utilized in the data block encryption rounds, on an Altera Cyclone IV FPGA using the Intel Quartus II software and Verilog Hardware Description Language.

The Advanced Encryption Standard (AES), also known as a specification for the encryption of electronic data. AES is comparatively highly secure and more efficient than well-known other cryptographic algorithms and existing Data Encryption Standard (DES). This work is focused in analyzing selecting valuable research publications on AES. This also discusses some machine learning techniques such as artificial neural network (ANN) used to protect side channel attack for images. Besides this, many other recent developments such as effective differential power analysis (DPA) technique and hybrid encryption algorithm using LZW have been discussed and analyzed in details. Finally, the paper concludes with a systematic analysis of different types of attacks on AES and some future research aspects in this context. Finally, this work also proposes a new model for attack detection in AES.

From the Publisher: In October 2000, the US National Institute of Standards and Technology selected the block cipher Rijndael as the Advanced Encryption Standard (AES). AES is expected to gradually replace the present Data Encryption Standard (DES) as the most widely applied data encryption technology.|This book by the designers of the block cipher presents Rijndael from scratch. The underlying mathematics and the wide trail strategy as the basic design idea are explained in detail and the basics of differential and linear cryptanalysis are reworked. Subsequent chapters review all known attacks against the Rijndael structure and deal with implementation and optimization issues. Finally, other ciphers related to Rijndael are presented.|This volume is THE authoritative guide to the Rijndael algorithm and AES. Professionals, researchers, and students active or interested in data encryption will find it a valuable source of information and reference.

Four Dimensional (4D) Playfair cipher fused with Linear Feedback Shift Register (LFSR) has the capability of providing confidentiality to any type of data. The main aim of this research is to compare this cipher with the standard ciphers AES-256 and RSA-2048. The comparisons are done on the basis of encryption and decryption times, plain data size versus cipher data size, possible number of keys and types of data supported. It is found from the comparison analysis that the AES-256 is efficient in terms of time, memory and bandwidth consumption when compared to the other two ciphers. For AES-256, data size has to be a multiple of 16 bytes or padded values shouldn’t be a part of original data values in order to be unambiguous while the other two ciphers are always unambiguous. Also, AES-256 is weak against brute force attack when compared to other two ciphers. Among RSA-2048 and 4D Playfair cipher fused with LFSR, latter is highly efficient in terms of time, memory and bandwidth. Therefore, applications wanting to secure all sorts of data efficiently and unambiguously irrespective of data size can use 4D Playfair cipher fused with LFSR. Keywords: Data security; Cryptography; AES; RSA; 4D Playfair cipher

Popular cryptographic technology called Advanced Encryption Standard (AES) enables secure data transfer over the internet. It is used for a variety of purposes, such as secure data transfer, mobile phone encryption, and encryption of extremely sensitive data. It operates in terms of blocks, or chunks, of data. Steganography is the process of hiding data in another sort of data, such as a digital image. If a user wants to utilize a cryptographic method to conceal encrypted data in an image, such as AES, it is essential that the method be impervious to all possible attacks. This study has analyzed the possibility to hide data inside digital photos by utilizing encryption techniques like AES. The performance comparison of AES and Data Encryption Standard (DES), a full Python implementation of the AES for image steganography is also presented. To illustrate how each method performs, experimental results are provided. The Advanced Encryption Standard can be programmed in software or built with pure hardware.

The Consultative Committee for Space Data Systems (CCSDS) recommends AES algorithm as a cryptographic algorithm to maintain confidentiality and data security between spacecraft and ground systems. In implementation, there are several AES algorithm operating modes including Cipher-Block Chaining (CBC), Electronic Codebook (EBC), Cipher Feedback (CFB), Output Feedback (OFB), and counter mode (CTR). One of the operating modes of AES algorithm recommended by CCSDS is CTR because it has advantages in terms of efficiency of implementation and offers a high level of data security. LAPAN-A4 as the next generation of LAPAN satellites also uses CCSDS standard in terms of data exchange between satellites and ground stations including telemetry and telecommand (TTC) data and satellite payload data. In order to protect LAPAN-A4 satellite data, especially TTC data, in this paper AES algorithm was implemented in CTR operating mode on the FPGA which will then be implemented on LAPAN-A4 satellite onboard data handling (OBDH) as one of LAPAN-A4 satellite data security systems. To overcome the limited resource of FPGA, optimization is also done using basic iterative AES hardware reused method, which is to reuse hardware that has been designed n times for same operation for AES algorithm. From the results of implementation and optimization, efficiency of logic gates used is increasing almost a quarter less than the previous research.

Limitations of storage sources is one option to switch to cloud storage. Confidentiality and security of data stored on the cloud is very important. To keep up the confidentiality and security of such data can be done one of them by using cryptography techniques. Data Encryption Standard (DES) is one of the block cipher algorithms used as standard symmetric encryption algorithm. This DES will produce 8 blocks of ciphers combined into one ciphertext, but the ciphertext are weak against brute force attacks. Therefore, the last 8 block cipher will be converted into 8 random images using Least Significant Bit (LSB) algorithm which later draws the result of cipher of DES algorithm to be merged into one.

Today multimedia technologies have popularized applications like video conferencing, pay-per-view, Video On Demand (VOD), video broadcast, etc. where confidentiality and fast transmission of the video data extremely important. This necessitates secure video encryption algorithms. This paper presents a highly secured randomized encryption/ decryption technique. Implementation presented in this paper chooses a randomly switching model which combines the two symmetric cryptosystems Data Encryption Standard (DES) and Advanced Encryption Standard (AES) to work together as a single unit. Switching is controlled by the QR-code images. Along with encryption the video data undergoes the compression. Also this design takes care about the memory reduction using modified double stegging.

The increasing need for secure image transmission has led to the development of cryptographic techniques that combine encryption algorithms and secure key exchange methods. This paper proposes a system for enhancing the security of digital images by using the Advanced Encryption Standard (AES) combined with the Diffie-Hellman method for key generation. AES is applied for encryption and decryption, while Diffie-Hellman ensures the secure exchange and generation of secret keys. The system, developed in Microsoft Visual Basic .NET 2010, was tested on various image formats and demonstrated effective protection against brute force attacks. This approach ensures secure digital image transmission and confidentiality.

This paper proposes a privacy preservation-based data security and secure data protocol for distributed Data Storage and Communication (DSaC). An effective performance analysis is done between privacy preservation-based data security approach for authenticated encrypted access and secure data protocol for DSaC in cloud and the approaches are compared with the traditional schemes like Ins-PAbAC, Homomorphic Proxy Re-encryption (HPRE), LAM-CIoT, SA-EDS, Advanced Encryption Standard (AES), and Data Encryption Standard (DES). The proposed privacy preservation approach achieved a minimum time of 12614ms, maximum detection rate of 0.985, maximum privacy factor of 0.645, maximum TPR of 0.785, and maximum TNR of 0.777 for Switzerland dataset and the ACS-based secure data protocol achieved a minimum time of 5527ms, maximum detection rate of 0.953, minimum E2E delay of 85, maximum TPR of 0.817, and maximum TNR of 0.754 for Cleveland dataset.

Chapter 9 - Basics of Cryptography