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A Novel Effective Lightweight Homomorphic Cryptographic Algorithm for data security in cloud computing

International Journal of Intelligent Networks 2022年 3卷 16-30页

作者： Thabit, Fursan Can, Ozgu Alhomdy, Sharaf Al-Gaphari, Ghaleb H. Jagtap, Sudhir Postdoctoral Researcher Department of Computer Engineering Faculty of Engineering Ege University Turkey Assoc. Prof Dr. Department of Computer Engineering Faculty of Engineering Ege University Turkey Sana'a University Yemen Professor and Principal Research Centre of Computer Science S.V.M Campus - S.R.T.M. University India

Cloud computing is a technology in which the resources are delivered as services. Users can access them anywhere, anytime via the Internet without any need to know the infrastructure knowledge, experience, or even authority that provides such services. It has become an important medium for enterprises to develop their networks because of these resources. With the growing need for cloud computing, security is becoming important for both individuals and business needs. Many researchers have studied the security of cloud computing. Still, security gaps or threats are increasing as the demand for cloud computing connectivity increases. Because a third party mostly provides cloud platforms to the cloud client, data protection in the cloud is the primary issue. This paper presents a novel, effective lightweight homomorphic cryptographic algorithm which contains two layers of encryption. The first layer uses the new effective, light-weight cryptographic algorithm and the second layer multiplicative homomorphic schemes considered for improving security data in cloud computing. This approach offers both symmetric and asymmetric cryptography features. The proposed approach's performance is evaluated using a variety of metrics, including memory, computational time and (key sensitivity), statistical analysis, image histogram, and entropy change analysis. The proposed algorithm's experimental findings showed a high level of security and an apparent improvement in encryption execution time, memory usage, and throughput. When compared to the cryptographic systems widely used in cloud computing. © 2022 The Authors

关键词： Cryptography

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Enhancing Network Lifetime of WSNs through the Implementation of a Modified Ant Colony Optimization Algorithm

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Procedia computer science 2023年 230卷 368-376页

作者： Malathi Murugesan Kanimozhi R Dharani K G Devi D Assoc. Professor Dept. of Electronics and Communication Engineering E. G. S. Pillay Engineering College Nagapattinam - 611002 Asst. Professor Dept. of Computer Science and Engineering Bharathiyar Institute of Engineering for Women Deviyakurichi Assoc. Professor Dept. of Electronics and Communication Engineering Akshaya College of Engineering & Technology Coimbatore Asst. Professor Dept. of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology

Energy efficient routing has been the mainstay of research in wireless sensor networks. With rising utility of WSNs in a broad range of applications, a significant volume of research contributions are targeted towards obtaining an energy efficient routing with a good quality of service (QoS) metric. In recent times, the utility of evolutionary algorithm for such multi-objective problems has been on the rising trend as evolutionary models closely mimic the real time scenario of any problem optimization. In this research work, a modified ant colony optimization (M-ACO) has been proposed and implemented for optimization in terms of energy conservation and thereby to extend the network lifetime of the network

关键词： WSN Intelligent Routing Energy Efficiency Modified Ant Colony Optimization Hierarchical protocols

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Computational Overhead Analysis for Mitigation of Content Poisoning Attack in NDN-based IoT Body Area Networks

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Procedia computer science 2023年 230卷 257-263页

作者： M Priya S Castro K Sathesh Kumar N Kalaivani Assoc. Professor Dept. of Computer Science and Engineering E.G.S. Pillay Engineering College Nagapattinam 611002 Asst. Professor Dept. of Information Technology Karpagam College of Engineering Coimbatore 641032 Asst. Professor Dept. of Electronics and Communication Engineering Vivekanandha College of Engineering for Women Tiruchengode 637205 Assoc. Professor Dept. of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Coimbatore 641041

The Body Sensors Network has developed into a significant element of the Medical IoT. Massive data gathering from a resource-constrained network represents a laborious procedure in IoT equipped BSN/WBAN, creating a number of difficult problems. Conventional communication protocols may be used on IoT platforms without any alterations and provide impractical techniques for large-scale networks. The new architecture known as ICN has the potential to overcome these difficulties in huge data collection. According to this perspective, the proposed work indicates a CPA mitigation strategy for information centric WBANs.

关键词： Named Data Networks CP attacks, Efficiency, Overhead analysis

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A Secured and Effective Load Monitoring and Scheduling Migration VM in Cloud Computing

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： Sai N. Raghavendra Kumar M. Jogendra Chowdary Ch. Smitha Assoc. Professor Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

Inside the united cloud-controlled condition, the dynamic and viewing acknowledge a critical movement wherein the host regulator deals with the advantages across has inside the laborer farm. Host regulator does a virtual machine and genuinely have the heads. The Virtual Machine the board solidifies creation, checking, and movement. In the occasion that Host Controller down, the assoc.ations supported by different hosts in Decentralized can't be gotten to outside the Decentralized[1]. Decentralized Virtual Machine the board evades intertwined dissatisfaction by considering one among the hosts from Decentralized as host regulator that helps keep with expanding Decentralized in running state. Each host in Decentralized has different Virtual machine with very far past which it can't give organization. to stay up the sting, the host's in Decentralized does Virtual Machine advancement across different hosts. the data in development is as plaintext, the interloper can dismantle bundle headway and may control has traffic. The joining of the security structure has in Decentralized helps with guaranteeing the data being developed. This paper talks about two or three strategies for dynamic Host regulator choice, Virtual confirmation, and secure Virtual development over cloud conditions. An amazingly capable processing condition is obliged by technique for distributed computing wherein customers or different occupants are expected of a couple of sources to be equipped consider as a provider over the online. influencing adventure before the cloud carrier provider is that the way sufficiently and effectively the essential processing sources like virtual machines, assoc.ation, parking lot outfit, and knowledge move limit, and various others. need to be directed all at once that no environment is in underneath use state in an exceptional natural factor. a far better than average undertaking planning technique is generally required for the dynamic choice of the heap observing to rem

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Hybrid Learning Method to Detect the Malicious Transactions in Network Data

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： Gayathri Edamadaka Ch. Smitha Chowdary M. Jogendra Kumar N. Raghavendra Sai Assoc. Professor Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

Network has carried comfort to the world by permitting adaptable change of information; however it likewise uncovered a high number of vulnerabilities. A Network Intrusion Detection System (NIDS) supports system to system executives to identify arrange security breaks in their assoc.ations. Distinguishing past and new attacks is one of the primary difficulties in IDSs inquiries about. Deep learning, which is a sub field of AI (1980's), is worried about classification that depends on the structure and capability of attention so-called neural structures. The progression on such learning and classification may improve the usefulness of IDS particularly in Industrial network Control Systems to build its location rate on obscure attacks. This work tells a deep learning method to deal with actualize a viable and also improved IDS for verifying modern system with the help of RNN.

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An Efficient Deep Learning Approach for Brain Tumor Segmentation Using CNN

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： M. Jogendra Kumar N. Raghavendra Sai Ch. Smitha Chowdary Assoc. Professor Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

The focus on this endeavor may be to composed totally altered tumor division system utilizing convolutional neural networks (CNN). Tumors could show up any place in the mind and basically such a size, shape, and multifaceted nature. These causes drive the use of a versatile, high breaking point profound NN. This may be a system of the work completed in this view with a push to portray in procedure utilized. The BraTS cerebrum tumor division challenge dataset, which contains MRI ranges of mind for higher than 200 patients is utilized in this assessment. A fix wise division procedure will be utilized and 98% exactness on test set of patches. An assortment of evaluations have completed around the NN significance utilized the various models to set up the best designing for this errand. The CNN will be utilized to locate the correct region of profound NN and gliomas CNN have used to locate the terrible zone. The Deep NN is to discover the shrouded units in gliomas.

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Analogous Approach towards Performance Analysis for Software Defect Prediction and Prioritization

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： Ch. Smitha Chowdary Gayathri Edamadaka N. Raghavendra Sai M. Jogendra Kumar Assoc. Professor Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

This exploration paper proposes the Software frameworks assume a significant part in everyday human lives, and hence making quality programming framework is an indispensable issue. A lot of work is being done here. One of the principle key among them is programming deformity forecast (SDP). Imperfection Prediction is a twofold request issue the spot a particular item module will be requested as broken however those blunder might be more great more than 0 and as Non-Defective on those slip will be identical to 0. A number for programming estimations additionally measurable models have been framed to this explanation behind existing. Larger aspect of the deformity Prediction models would make using AI in techniques. That execution of various models can be contemplated using the boundaries like Accuracy, hit rate and bogus alert rate. In this exploration covers on the different examinations done on the region of programming imperfection forecast in the previous not many years lastly another framework is proposed.

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A Hybrid Hash-Stego for Secured Message Transmission Using Stegnography

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： A. Pavan Kumar Lingam Gajjela N. Raghavendra Sai Asst. Professor Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India Asst. Professor Department of Computer Science and Engineering Narasimha Reddy Engineering College Assoc. Professor Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

Steganography and cryptography is utilized together to fuse different layers security. Cryptography is a cryptographic framework and which is utilized to scramble the visual information. Cryptography is utilized in information stowing perpetually, secure the pictures, hidden picture, sight and sound and different fields. Steganography is the procedure for concealing mystery information into another information so it is basically more guaranteed about. In steganography the conundrum messages install in an innocuous looking spread, for example, a genuine picture chronicle, by then the picture is passed on. For scramble and unscramble the information we can utilize the cryptography procedure. The information are changed over into some other rubbish structure, and some time later the mixed information are passed on. Straightforwardly a days we have seen a smart improvement of correspondences security and the antonymous individual access conundrum information for the information correspondence experts. Cryptography and Steganography are the all around utilized procedures to vanquish this danger. LSB[1] method is utilized to camouflage the mixed message into annals. This undertaking is to improve another strategy for concealing riddle messages into video, the space of tending to the characters parallelly we are isolating the video chart utilizing steganalysis.

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A Study of Wi-Fi Security in City Environment

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IOP Conference Series: Materials science and engineering 2019年第1期618卷

作者： H Valchanov J Edikyan V Aleksieva Assoc. Professor Head of Department of Computer Science Department of Computer Science Technical University of Varna Varna Bulgaria Programmer Varna Bulgaria Assoc. Professor Department of Computer Science Technical University of Varna Varna Bulgaria

Wireless networks are widely used with increasing number of users. Typically, they are based on the IEEE 802.11 standard (Wi-Fi). Because of its broadcast nature, they are very susceptible to security attacks. It is very important to study the risks and potential vulnerabilities of Wi-Fi networks, which will allow defining recommendations for users to enhance their security. This paper presents a methodology and research of the security of wireless networks in Varna city based on war-driving technique. The obtained results are analyzed and compared with those from previous research. The recommendations are given.

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Collaborative Filtering and Regression Techniques based location Travel Recommender System based on social media reviews data due to the COVID-19 Pandemic

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： K. V. Daya Sagar P. S. G. Arunasri Sridevi Sakamuri J. Kavitha DBK Kamesh Assoc. Professor Dept. of Electronics and Computer Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh India-522502 Asst. Professor Dept. of Electronics and Computer Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh India-522502 Asst. Professor Malla Reddy Engineering College Hyderabad Telangana India Professor Dept.of Computer Science and Engineering Malla Reddy Engineering College Hyderabad Telangana India

Nowadays, Dynamic industries like tourism is a enhance to boost many countries economy in recent years. The hotel sector leads to a significant role among all aspects of the tourism industry. Online travel platforms, in assoc.ation with hotel management, are a part of hotel E-tourism that helps users to make travel plans online, suggest precise recommendations in consideration with the earlier feedbacks upon hotel stay. From the past few months, the user roaming ratio falls rapidly due to the COVID-19 Pandemic across the globe. In a business concern, this Pandemic affects all tourism sectors, specifically in the hotels' occupancy. To retain business positions and attract the users in these problematic scenarios, hotel and travel platform management concerns about past preferences of users, which have a significant impact on gratification for a comfortable stay. The current market trends show that user reviews are playing a vital role to select a hotel based on a safe location. Our work tries to find and recommend the dimensions that contribute more towards higher satisfaction levels of users in Asian continental top tourism city hotels listed by the Master and VISA Inc survey with item collaborative filtering and regression techniques based on Tripadvisor reviews from social media in recent times. The outcome of the work is helpful for Asian continental hotel management to concentrate more on the dimensions for obtaining better reviews. From an online travel platform perspective, this work suggests the contexts for the travel recommender system to gain things effectively from users.

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