Chenglong Li¹, Peipeng Liu¹, Hewei Yu^{1, *}, Mengmeng Ge², Xiangzhan Yu², Yi Xin², Yuhang Wang³, Dongyu Zhang⁴

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1739-1752, 2020, DOI:10.32604/cmc.2020.09019

Abstract The rapid development of Internet of Things (IoT) technology has made previously unavailable data available, and applications can take advantage of device data for people to visualize, explore, and build complex analyses. As the size of the network and the number of network users continue to increase, network requests tend to aggregate on a small number of network resources, which results in uneven load on network requests. Real-time, highly reliable network file distribution technology is of great importance in the Internet of Things. This paper studies real-time and highly reliable file distribution technology for large-scale networks. In response to this… More >

Yanbin Sun¹, Xiaojun Pan¹, Chao Xu², Penggang Sun², Quanlong Guan³, Mohan Li^{1, *}, Men Han⁴

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1723-1737, 2020, DOI:10.32604/cmc.2020.010593

Abstract The security issues of industrial control systems (ICSs) have become increasingly prevalent. As an important part of ICS security, honeypots and antihoneypots have become the focus of offensive and defensive confrontation. However, research on ICS honeypots still lacks breakthroughs, and it is difficult to simulate real ICS devices perfectly. In this paper, we studied ICS honeypots to identify and address their weaknesses. First, an intelligent honeypot identification framework is proposed, based on which feature data type requirements and feature data acquisition for honeypot identification is studied. Inspired by vulnerability mining, we propose a feature acquisition approach based on lightweight fuzz… More >

Xiehua Li^1,*, Fang Li¹, Jie Jiang¹, Xiaoyu Mei²

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1707-1721, 2020, DOI:10.32604/cmc.2020.011227

Abstract Efficient multi-keyword fuzzy search over encrypted data is a desirable technology for data outsourcing in cloud storage. However, the current searchable encryption solutions still have deficiencies in search efficiency, accuracy and multiple data owner support. In this paper, we propose an encrypted data searching scheme that can support multiple keywords fuzzy search with order preserving (PMS). First, a new spelling correction algorithm-(Possibility-Levenshtein based Spelling Correction) is proposed to correct user input errors, so that fuzzy keywords input can be supported. Second, Paillier encryption is introduced to calculate encrypted relevance score of multiple keywords for order preserving. Then, a queue-based query… More >

Rongyu Chen¹, Lili Pan^{1, *}, Cong Li¹, Yan Zhou¹, Aibin Chen¹, Eric Beckman²

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1691-1706, 2020, DOI:10.32604/cmc.2020.011706

Abstract With the development of Deep Convolutional Neural Networks (DCNNs), the extracted features for image recognition tasks have shifted from low-level features to the high-level semantic features of DCNNs. Previous studies have shown that the deeper the network is, the more abstract the features are. However, the recognition ability of deep features would be limited by insufficient training samples. To address this problem, this paper derives an improved Deep Fusion Convolutional Neural Network (DF-Net) which can make full use of the differences and complementarities during network learning and enhance feature expression under the condition of limited datasets. Specifically, DF-Net organizes two… More >

Wenjie Liu^{1, 2, *}, Junxiu Chen², Yinsong Xu², Jiahao Tang², Lian Tong³, Xiaoyu Song⁴

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1671-1689, 2020, DOI:10.32604/cmc.2020.07564

Abstract With the rapid development of quantum theory and technology in recent years, especially the emergence of some quantum cloud computing platforms, more and more researchers are not satisfied with the theoretical derivation and simulation verification of quantum computation (especially quantum algorithms), experimental verification on real quantum devices has become a new trend. In this paper, three representative quantum algorithms, namely Deutsch-Jozsa, Grover, and Shor algorithms, are briefly depicted, and then their implementation circuits are presented, respectively. We program these circuits on python with QISKit to connect the remote real quantum devices (i.e., ibmqx4, ibmqx5) on IBM Q to verify these… More >

S. B. Manoojkumaar^{1, *}, C. Poongodi²

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1649-1670, 2020, DOI:10.32604/cmc.2020.010781

Abstract Maximizing network lifetime is measured as the primary issue in Mobile Adhoc Networks (MANETs). In geographically routing based models, packet transmission seems to be more appropriate in dense circumstances. The involvement of the Heuristic model directly is not appropriate to offer an effectual solution as it becomes NP-hard issues; therefore investigators concentrate on using Meta-heuristic approaches. Dragonfly Optimization (DFO) is an effective meta-heuristic approach to resolve these problems by providing optimal solutions. Moreover, Meta-heuristic approaches (DFO) turn to be slower in convergence problems and need proper computational time while expanding network size. Thus, DFO is adaptively improved as Adaptive Dragonfly… More >

Kiranbir Kaur^{1, *}, Sandeep Sharma¹, Karanjeet Singh Kahlon²

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1625-1647, 2020, DOI:10.32604/cmc.2020.011535

Abstract Vendor lock-in can occur at any layer of the cloud stack-Infrastructure, Platform, and Software-as-a-service. This paper covers the vendor lock-in issue at Platform as a Service (PaaS) level where applications can be created, deployed, and managed without worrying about the underlying infrastructure. These applications and their persisted data on one PaaS provider are not easy to port to another provider. To overcome this issue, we propose a middleware to abstract and make the database services as cloud-agnostic. The middleware supports several SQL and NoSQL data stores that can be hosted and ported among disparate PaaS providers. It facilitates the developers… More >

Ting Xu¹, Ming Zhao¹, Xin Yao^{1, *}, Kun He²

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1605-1624, 2020, DOI:10.32604/cmc.2020.011458

Abstract With the expansion of the application range and network scale of wireless sensor networks in recent years, WSNs often generate data surges and delay queues during the transmission process, causing network paralysis, even resulting in local or global congestion. In this paper, a dynamically Adjusted Duty Cycle for Optimized Congestion based on a real-time Queue Length (ADCOC) scheme is proposed. In order to improve the resource utilization rate of network nodes, we carried out optimization analysis based on the theory and applied it to the adjustment of the node’s duty cycle strategy. Using this strategy to ensure that the network… More >

Hongtao Bai^{1, 2}, Xuan Li^{1, 2}, Lili He^{1, 2}, Longhai Jin^{1, 2}, Chong Wang^{1, 2, 3}, Yu Jiang^{1, 2, *}

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1591-1603, 2020, DOI:10.32604/cmc.2020.09981

Abstract A current problem in diet recommendation systems is the matching of food preferences with nutritional requirements, taking into account individual characteristics, such as body weight with individual health conditions, such as diabetes. Current dietary recommendations employ association rules, content-based collaborative filtering, and constraint-based methods, which have several limitations. These limitations are due to the existence of a special user group and an imbalance of non-simple attributes. Making use of traditional dietary recommendation algorithm researches, we combine the Adaboost classifier with probabilistic matrix factorization. We present a personalized diet recommendation algorithm by taking advantage of probabilistic matrix factorization via Adaboost. A… More >

Jianzhong Li¹, DexiangMei¹, Dong Deng¹, Imran Khan², Peerapong Uthansakul^{3, *}

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1571-1590, 2020, DOI:10.32604/cmc.2020.011822

Abstract Non-orthogonal multiple access (NOMA) is one of the key 5G technology which can improve spectrum efficiency and increase the number of user connections by utilizing the resources in a non-orthogonal manner. NOMA allows multiple terminals to share the same resource unit at the same time. The receiver usually needs to configure successive interference cancellation (SIC). The receiver eliminates co-channel interference (CCI) between users and it can significantly improve the system throughput. In order to meet the demands of users and improve fairness among them, this paper proposes a new power allocation scheme. The objective is to maximize user fairness by… More >