Integrated ECC and Blowfish for Smartphone Security

AbstractMobile Cloud Computing is the hottest research area in the IT world. Security and privacy are key issues in MCC. Hence, framework required to provide the security with minimum computational overhead. We develop the scheme to secure the mobile data in cloud using cryptography, in which Elliptic Curve Cryptography and Blowfish algorithm are integrated to provide authentication and confidentiality. To transmit the data more securely, random number is used to increase computational complexity for an adversary. We also randomize the number of rounds of Blowfish for performance improvement. Our approach is implemented and tested with different platforms like personal computer, android emulator, smartphone and aakash tablet

A Survey: Secure Data Storage Techniques in Cloud Computing

Cloud computing is an era of research where we are looking for a fast and efficient computing solution with dynamic data. Cloud computing provide us a service which is use and pay on demand services, thus the user can have multiple options for data processing system. Many of the techniques to store data using security algorithm have been applied on cloud computing, but still the issue is its giving slow speed compare to server technique. Thus, a secure encryption technique with low computation and early scheme is always required. In this paper, we utilize and uniquely combine the Optimized blowfish homomorphism encryption with SHA-2 for key generation to make encryption more authentic. The proposed solution mentioned by us can give enhancement in security aspects as well as it compute fast data processing

Cloud data security and various cryptographic algorithms

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

Computational Complexity of Modified Blowfish Cryptographic Algorithm on Video Data

Background: The technological revolution has allowed users to exchange data and information in various fields, and this is one of the most prevalent uses of computer technologies. However, in a world where third parties are capable of collecting, stealing, and destroying information without authorization, cryptography remains the primary tool that assists users in keeping their information secure using various techniques. Blowfish is an encryption process that is modest, protected, and proficient, with the size of the message and the key size affecting its performance. Aim: the goal of this study is to design a modified Blowfish algorithm by changing the structure of the F function to encrypt and decrypt video data. After which, the performance of the normal and modified Blowfish algorithm will be obtained in terms of time complexity and the avalanche effect. Methods: To compare the encryption time and security, the modified Blowfish algorithm will use only two S-boxes in the F function instead of the four used in Blowfish. Encryption and decryption times were calculated to compare Blowfish to the modified Blowfish algorithm, with the findings indicating that the modified Blowfish algorithm performs better. Results: The Avalanche Effect results reveal that normal Blowfish has a higher security level for all categories of video file size than the modified Blowfish algorithm, with 50.7176% for normal Blowfish and 43.3398% for the modified Blowfish algorithm of 187 kb; hence, it is preferable to secure data and programs that demand a high level of security with Blowfish. Conclusions: From the experimental results, the modified Blowfish algorithm performs faster than normal Blowfish in terms of time complexity with an average execution time of 250.0 ms for normal Blowfish and 248.4 ms for the modified Blowfish algorithm. Therefore, it can be concluded that the modified Blowfish algorithm using the F-structure is time-efficient while normal Blowfish is better in terms of security.publishedVersio

Studying Security Issues in HPC (Super Computer) Environment

HPC has evolved from being a buzzword to becoming one of the most exciting areas in the field of Information Technology & Computer Science. Organizations are increasingly looking to HPC to improve operational efficiency, reduce expenditure over time and improve the computational power. Using Super Computers hosted on a particular location and connected with the Internet can reduce the installation of computational power and making it centralise. However, centralise system has some advantages and disadvantages over the distributed system, but we avoid discussing those issues and focusing more on the HPC systems. HPC can also be used to build web and file server and for applications of cloud computing. Due to cluster type architecture and high processing speed, we have experienced that it works far better and handles the loads in much more efficient manner then series of desktop with normal configuration connected together for application of cloud computing and network applications. In this paper we have discussed on issues re lated to security of data and information on the context of HPC. Data and information are vanurable to security and safety. It is the purpose of this paper to present some practical security issues related to High Performance Computing Environment. Based on our observation on security requirements of HPC we have discuss some existing security technologies used in HPC. When observed to various literatures, we found that the existing techniques are not enough. We have discussed, some of the key issues relating to this context. Lastly, we have made an approach to find an appropriate solution using Blowfish encryption and decryption algorithm. We hope that, with our proposed concepts, HPC applications to perform better and in safer way. At the end, we have proposed a modified blow fish algorithmic technique by attaching random number generator algorithm to make the encryption decryption technique more appropriate for our own HPC environment

Securing One Time Password (OTP) for Multi-Factor Out-of-Band Authentication through a 128-bit Blowfish Algorithm

Authentication and cryptography have been used to address security issues on various online services. However, researchers discovered that even the most commonly used multi-factor out-of-band authentication mechanism was vulnerable to attacks and traditional crypto-algorithms were characterized to have some drawbacks making it crucial to choose desirable algorithms for a particular purpose. This study introduces an innovative modification of the Blowfish algorithm designed to capitalize on its strengths but supports 128-bits block size text input using dynamic selection encryption method and reduction of cipher function execution through randomly determined rounds. Experimentation results on 128-bit input text revealed significant performance improvements with utmost 5.91 % in terms of avalanche effect, 38.97 % for integrity, and 41.02 % in terms of execution time. Results also showed that the modification introduced extra security layer, thus, displaying higher complexity and stronger diffusion at faster execution time making it more difficult and complex for an unauthorized individual to decipher the information and desirable to be used for applications with multiple users respectively. This is a good contribution to the continuous developments in the field of information security particularly in cryptography and towards providing a secure OTP for multifactor out-of-band authentication

Dynamic virtual cluster cloud security using hybrid steganographic image authentication algorithm

Storing data in a third party cloud system causes serious problems on data confidentiality. Generally, encryption techniques provide data confidentiality but with limited functionality, which occurs due to unsupported actions of encryption operation in cloud storage space. Hence, developing a decentralized secure storage system with multiple support functions like encryption, encoding, and forwarding tends to get complicated, when the storage system spreads. This paper aims mainly on hiding image information using specialized steganographic image authentication (SSIA) algorithm in clustered cloud systems. The SSIA algorithm is applied to virtual elastic clusters in a public cloud platform. Here, the SSIA algorithm embeds the image information using blowfish algorithm and genetic operators. Initially, the blowfish symmetric block encryption is applied over the image and then the genetic operator is applied to re-encrypt the image information. The proposed algorithm provides an improved security than conventional blowfish algorithm in a clustered cloud system

A Novel Approach for Enhancement of Blowfish Algorithm by using DES, DCT Methods for Providing, Strong Encryption and Decryption Capabilities

Data safety has evolved into a critical requirement and a duty in modern life. Most of our systems are designed in such a way that it can get hacked, putting our private information at danger. As a result, for numerous safety motives, we utilize various approaches to save as much as possible on this data, regardless of its varied formats, words, photographs, videos, and so on. The data storage capacity of mobile devices is restricted owing to insufficient data storage and processing. In order to develop a safe MCC environment, security concerns must be studied and analysed. This study compares the most widely used symmetric key encryption algorithms, including DES (Data Encryption Standard), Blowfish, TDES (Triple Data Encryption Standard), PRESENT, and KLEIN. The assessment of algorithms is based on attacks, key size, and block size, with the best outcomes in their field

A new multi-level key block cypher based on the Blowfish algorithm

Blowfish is a block cypher algorithm used in many applications to enhance security, but it includes several drawbacks. For example, the mix between the key and data is limited. This paper presents a new modification to the Blowfish algorithm to overcome such problems realised through a multi-state operation instead of an XOR. Our proposed algorithm uses three keys in the encryption and decryption processes instead of one for controlling the variable block bits sizes (1, 2, 4, and 8) bits and for determining the state table numbers. These tables are formed from the addition in a Galois field GF (2n) based on block bit size to increase the complexity of the proposed algorithm. Results are evaluated based on the criteria of complexity, time encryption, throughout, and histogram, and show that the original Blowfish, those modified by other scholars, and our proposed algorithm are similar in time computation. Our algorithm is demonstrated to be the most complex compared with other well-known and modified algorithms. This increased complexity score for our proposed Blowfish makes it more resistant against attempts to break the keys