RETRACTED ARTICLE: Robust technique for data security in multicloud storage using dynamic slicing with hybrid cryptographic technique

Cloud computing (CC) services can offer substantial cost-effective global operational and relationship benefits if the cooperation between logistics and CC services are resilient. Potential vulnerabilities to cooperation of CC and logistics service providers can occur with respect to vital factors such as security and trust. Extant studies have demonstrated CC benefits as well as few challenges associated with CC services application. However, no extant study has examined the inter-organisational benefits based on cooperative resilience between CC and logistics service providers in terms of both capability and trust vulnerability factors. This study examines the cooperative resilience of logistics and CC service providers based on innovation diffusion theory within a supply chain risk assessment framework. Using structural equation modelling techniques, we investigate the relationship between the vulnerability factor (trust), capability factor (security) and collaboration benefits (relationship and operational) offered by CC service providers based on 236 Chinese logistics service firms’ perceptions of CC adoption. The results indicate Chinese logistics companies perceive security impediments as a major factor affecting cooperative resilience between logistics service and CC service providers.

The Data Encryption Standard (DES) was a prevalent symmetric key block cipher scheme. It was the most popular used cryptographic algorithm. DES's security was a highly debatable aspect until it became an insecure algorithm in 1999. In this paper, an enhancement that overcomes the security weakness of DES is introduced. The modification employs the chaotic logistic map and the art of the Elliptic Curve Cryptography. The required key generation and distribution are achieved by the enhancement to establish a communication session. Our new DES is applied on image encryption and decryption processes. Experimental results are carried out with detailed analyses, the results demonstrate that the proposed scheme has an absolutely large key space to encounter the brute-force attack and it has a good immunity to the statistical attacks. Accordingly the introduced new DES algorithm could be used as a remarkably secure algorithm.

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.

Cloud computing is one of the most research hot topics in IT industry nowadays. A lot of startup organizations are adopting cloud eagerly due to massive cloud facilities available with minimal investment; but as every coin has two sides, so with cloud. In the cloud, the user data is stored at some off-site location. So cloud data security is one of the main concerns of any organizations, before shifting to the cloud. The data owners can ensure the data security at its premises using firewalls, VPN (Virtual Private Network) like most used security options. But as data owner stores their sensitive data to remote servers and users access required data from these remote cloud servers, which is not under their control. So storing data outside client premises, raises the issue of data security. Thus, one of the primary research areas in cloud computing is cloud data protection. In this research paper, strategies followed include categorization of the data on the basis of their sensitivity and importance, followed by the various cryptography techniques such as the AES (a Symmetric Cryptography technique), SHA-1 (a Hashing technique), and ECC (Elliptic curve Cryptography (an Asymmetric Cryptography technique). Till date, most of the authors were using a single key for both encryption and decryption which is a weak target of various identified malicious attacks. Hence, in the designed hybrid algorithm, two separate keys are used for each encryption and decryption. The cloud user who wants to access cloud data, need to first register with CSP and cloud owner. After registration, user login id, password and OTP (One Time Password) sent to the user registered mobile number, are required to access the encrypted cloud data.

Mobile ad hoc network (MANET) is a group of mobile nodes that communicates with each other without any supporting infrastructure. These networks have some unique features such as dynamic mobility, open nature, lack of infrastructure, limited physical security and they are vulnerable to several security threats. Malicious node can drop all or partial received packets instead of forwarding them to the next hop through the path. In order to find the malicious nodes, an initial transmission is made between the source and destination nodes. Using fuzzy rules, the trust value of each node is computed and it varies from 0 to 1. A common threshold value is set for each node and by using this threshold value, every node in the network can be identified as either a malicious node or a regular node. After identifying the malicious nodes, these nodes are eliminated by muting the power to off state. As the malicious nodes are eliminated between source and destination nodes, source node can select another trusted path to its destination
 node. For security and authentication of routing information, hybrid cryptography is employed, using advanced encryption standard (AES) and elliptic curve cryptography (ECC) algorithms. AES algorithm is used as symmetric algorithm to encrypt the routing information and ECC algorithm is used as asymmetric algorithm to encrypt the public key. During encryption, the original plain text is converted into cipher text with encrypted public key and similarly during decryption cipher text is converted into original plain text with decrypted private keys. So the proposed method involves both AES and ECC algorithms which provides security mechanism as efficient and sufficient one. The experimental simulations are carried for the proposed model using network simulator 2 (NS-2) for Throughput, Delay, Packet delivery ratio, Packet overhead and Packet drop.

Cloud computing is a promising computing model that enables convenient and on-demand network access to a shared pool of configurable computing resources. The first offered cloud service is moving data into the cloud: data owners let cloud service providers host their data on cloud servers and data consumers can access the data from the cloud servers. This new paradigm of data storage service also introduces new security challenges, because data owners and data servers have different identities and different business interests. Therefore, an independent auditing service is required to make sure that the data is correctly hosted in the Cloud. In this paper, we investigate this kind of problem and give an extensive survey of storage auditing methods in the literature. First, we give a set of requirements of the auditing protocol for data storage in cloud computing. Then, we introduce some existing auditing schemes and analyze them in terms of security and performance. Finally, some challenging issues are introduced in the design of efficient auditing protocol for data storage in cloud computing.

The paper mainly discusses the integrity of the forwarded subscription message guaranteed by secure channel which encrypted in data communication by using data encryption standard (DES) algorithm and chaos code algorithm between broker nodes in the routing process of the content-based publish/subscribe system. It analyzes the security of the secure channel encrypted with data communication by DES algorithm and chaos code algorithm, and finds out the secure channel can be easily attacked by known plain text. Therefore, the paper proposes the improved algorithm of message encryption and authentication, combining encryption and the generation of the message authentication code together to finish scanning at one time, which enhances both the secure degree and running efficiency. This secure channel system has a certain reference value to the pub/sub system requiring highly communication security.

<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>

Job scheduling system problem is a core and challenging issue in Cloud Computing. How to use Cloud computing resources efficiently and gain the maximum profits with job scheduling. Job scheduling system is one of the Cloud computing service providers’ ultimate goals. In this paper, firstly, by analysis the differentiated QoS requirements of Cloud computing resources users’ jobs, we build the corresponding non-pre-emptive priority M/G/1 queuing model for the jobs.Then, considering Cloud computing service providers’ destination which is to gain the maximum profits by offering Cloud computing resources, we built the system cost function for this queuing model. After that, based on the queuing model and system cost function, considering the goals of both the Cloud Computing service users and providers, we gave the corresponding strategy and algorithm to get the approximate optimistic value of service for each job in the corresponding no-pre-emptive priority M/G/1 queuing model. Finally, we also provide corresponding simulations and numeral results.Analysis and number results show that our approach for job scheduling system can not only guarantee the QoS requirements of the users’ jobs, but also can make the maximum profits for the Cloud computing service providers.While the economic case for cloud computing is compelling, the security challenges it poses are equally striking. In this work we strive to frame the full space of cloud-computing security issues, attempting to separate justified concerns from possible over-reactions. We examine contemporary and historical perspectives from industry, academia, government, and “black hats”. We argue that few cloud computing security issues are fundamentally new or fundamentally intractable; often what appears “new” is so only relative to “traditional”computing of the past several years. Looking back further to the time-sharing era, many of these problems already received attention. On the other hand, we argue that two facets are to some degree new and fundamental to cloud computing: the complexities of multi-party trust considerations, and the ensuing need for mutual audit ability.

The current browser built-in password manager and some third-party password manager store user`s ciphertext data locally or bring in a single cloud, which may leak user`s passwords. To address such problem, in this paper we proposed a browser built-in Password Manager based on multicloud storage. We disperse user`s ciphertext information and then store them across multiple cloud storage provider. The proposal can improve the difficulty of gain ciphertext for an attacker. In this way we can improve the security of user information in plain text, in addition multi cloud storage technology can also improve the usability of Password Manager service.

Cloud computing is one of the prominent areas in today's world. Several advantages exist in cloud computing, but the major drawback is that it is difficult to build a secure cloud storage system. Cloud environment is controlled by several service providers who are semi-trusted, and also hackers can attack the service providers easily without the owner's knowledge. The proposed system concentrates on the construction of a secure cloud storage system in a decentralized way. The proposed work does not depend on a third-party system. In this scheme, secure user authentication can be provided by using the iris verification system and data confidentiality by using new hybrid cryptographic techniques such as AES (Advanced Encryption Standard), DES (Data Encryption Standard), and CST (Cyclic Shift Transposition). In addition, secure data retrieval and data integrity can be provided by using data matrix code and blockchain verification scheme. The proposed system provides more security and integrity in cloud environment in a well-organized manner. In this scheme, the service provider cannot access the data without the data owner's knowledge. Hence, data ownership is protected in this scheme.

Moving data and applications to the cloud implies shifting their control from cloud consumers to the cloud service provider (CSP) indefinitely. Hence, the security and privacy (Saamp;P) of the consumers' assets becomes an important issue. Assessing and comparing potential cloud computing (CC) services, poses an issue for CC adopters to choose Saamp;P options that are sufficient and robust at the same time. In this paper, we describe CC adopters' Saamp;P concerns. We identify a set of attributes that reflect various aspects of cloud Saamp;P in an attempt to alleviate those concerns. We classify the attributes based on their tangibility and their relevance to Saamp;P threats. Every attribute in our list is represented by a set of considerations (i.e. polar questions) to assess its quality. We present a tool that embodies our set of attributes. We aim to enable consumers to assess and compare CC services, in terms of Saamp;P, so that they can make well-educated choices. CSPs can also make use of these attributes to offer better cloud Saamp;P.

Multipliers act as processors and take on the notable work of many computing frameworks. The speed of the processor is profoundly affected by the speed of their multipliers. In order to improve the system speed, faster and more efficient multipliers should be used. A Vedic multiplier is one of the best solution that can be used to perform multiplications at a faster rate by eliminating the steps that are not needed in usual multiplication process. Power consumption is another critical issue in embedded systems that cannot be ignored. Reversible logic has become notable in the recent years because of its potential to reduce power utilization, which is a major concern in digital design. In this work, a high-speed 16 × 16 Vedic multiplier was designed using Urdhva Tiryagbhyam (UT) sutra, which is derived from Vedic mathematics. This is a simple structure as well as an unbeatable combination for creating any complex multiplication operations for services where speed is of prime importance. This work also proposes a new method based on Elliptic Curve Cryptography (ECC) system for encryption and decryption using Vedic multiplication. By using Vedic Multiplication in ECC the processing time is perfectly reduced. The proposed Elliptic curve cryptography method is much faster than other elliptic curve cryptographic algorithms. Compared to other cryptographic techniques, the key size required to provide equivalent security is small in ECC.

In the contemporary world, the security of data and privacy policies are major concerns in cloud computing. Data stored on the cloud has been claimed to be unsafe and liable to be hacked. Users have found it difficult to trust their data in the cloud. Users want to know that their data is accessible from anywhere and that an unauthorized user will not be able to access it. Another area of concern is the authentication of users over the cloud. There are a number of security concerns with Cloud Computing which include Distributed Denial of Service, Data leakage, and many more, just to mention a few. In this paper, an Elliptic Curve Cryptography (ECC) algorithm is used for the encryption and decryption of the information stored on the cloud, so that if someone gains access to the server, it would be unable to access the original information. Performance evaluation of the developed system is performed by comparing ECC with the RSA algorithm. The results show that the ECC method is more efficient than RSA when used to secure information in the cloud.

PurposeThis bibliometric study is steered to compute the impact of literature published on cloud computing within the fields of information science and library science. The research has been conducted on concentrating the term “Cloud Computing” to search the literature published in both fields, i.e. information science and library science from the time span 2007 to August 2023. This study aims to investigate the top productive country, organizations and highly cited publications.Design/methodology/approachThe period of the exploration was from 2007 to August 2023 for bibliometric analysis and data was collected from the ISI Web of Science. Total 401 documents were retrieved and analyzed to highlight the year-wise distribution of documents type, year-wise most cited articles, prominent journals of the subjects, productivity of organizations, impact of countries and cooccurrences of keywords. The results are grounded on the basis of documents types (articles, early access articles, proceeding papers, book review, editorial material, news items and reviews).FindingsThe findings reveal that the most productive year of publication on cloud computing services was 2013. The top productive source is “International Journal of Information Management.” The articles entitled “Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors” found as the most cited article and the significant increase in citations is also noteworthy. The most productive organizations on the topic include “Islamic Azad University of Iran,” “University Cologne of Germany” and “University Nova Lisboa of Portugal.” The results confirmed that the USA dominates in the production of research on “Cloud Computing Services” and the most repeated keyword in the literature is cloud computing. The research articles are the most cited sources of research.Originality/valueThis bibliometric research is an original piece of work that has been conducted to measure the research production in the field of information science and library science during 2007−2023. This piece of work is valuable for those who want to study the literature on cloud computing in the area of information science and library science.