2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)最新文献_第10页

Multi-Tier Data Encryption Algorithm 多层数据加密算法

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142890

M. Abid, S. Revathy

{"title":"Multi-Tier Data Encryption Algorithm","authors":"M. Abid, S. Revathy","doi":"10.1109/ICOEI48184.2020.9142890","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142890","url":null,"abstract":"Gentry, Sahai, and Waters created the first identity-based encryption (IBE) and lattice-based cryptography in CRYPTO 2013. This scheme is improved in this paper by exploiting the US National Security Agency's (NSA) hashing function. POSIX is used to create a small and portable algorithm to assimilate multiple keys under a single identity-key that enables protection under different identities to be evaluated as one. The encryption renders the original file transformed by splitting it and encrypting the resulting files before encrypting the combination as a whole. Focus has been converged on modulating and modifying available encryption techniques to be processed as multiple segments of a single algorithm for more robust and powerful application. Both, the passkey as well as the data is encrypted using sets of pre-defined encryption techniques and the algorithm is processed via legacy libraries to be more versatile and provide an easy to implement scheme. The algorithm is developed to be applied in the instances of standalone dataset or in cases of virtualization where the algorithm can be inherited by the subsystems as modules to be used for security purposes.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"281 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121366714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Domain-Specific Allocation & Load Balancing in Cloud Computing Using Virtual Machines 基于虚拟机的云计算领域特定分配与负载均衡

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9143006

N. Manikandan, S. Devayani, M. Divya

{"title":"Domain-Specific Allocation & Load Balancing in Cloud Computing Using Virtual Machines","authors":"N. Manikandan, S. Devayani, M. Divya","doi":"10.1109/ICOEI48184.2020.9143006","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9143006","url":null,"abstract":"Domain specific allocation plays a major role in cloud computing. The recent trends in cloud computing attracts user to generate random requests to any processor which are not domain specific. Therefore load balancing is a significant aspect in distributing the workload evenly among all the nodes. Since the workload is not distributed uniformly, some processors are overloaded while others are under-loaded. This might result with the resources being overheated, sometimes might lead to carbon emission. Therefore in domain-specific storage text based and image based files are stored separately in two virtual machines for faster response. This paper presents the SJF scheduling algorithm for load balancing and AES algorithm for data encryption. The data is migrated into cloud called CloudMe for data recovery and data storage. This reduces the excessive work of the servers and provides efficient load balancing. The project handles both basic and premium users where premium user requests are prioritized and handled. The ‘n’ number of requests that is generated using bots by brute force attack can also be prevented. Thus the project aims to maintain a domain-specific storage to avoid overloading of virtual machines and maintains system stability and reduce carbon emission.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122851872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Design and Construction of Programmable Time-to- Amplitude Converter 可编程时幅转换器的设计与构造

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142973

Aishwarya Salvi, Kanchan Chavan, P. Vaidya

引用次数: 2

Magnetic Resonance Images Based Brain Tumor Segmentation- A critical survey 基于磁共振图像的脑肿瘤分割——一项重要研究

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9143045

V. Sravan, K. Swaraja, K. Meenakshi, Padmavathi Kora, M. Samson

引用次数: 7

Construction of Audit Internal Control Intelligent System Based on Blockchain and Cloud Storage 基于区块链和云存储的审计内控智能系统构建

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9143061

Ying Wang, Yong Gou, Yinjuan Guo, H. Wang

引用次数: 2

Circularly Polarized Cylindrical Slot Antenna With and Without DGS 带和不带DGS的圆极化圆柱槽天线

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142893

S. Khade, Aditya Chinchole, Pooja Pandey, Shweta Umredkar, Vaidehi Magare, Mrummayee Sonkusale

引用次数: 2

User Request Emotion Prediction Approach in a Crowdsourcing Platform 众包平台中的用户请求情感预测方法

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9143021

K. Priyanga, M. Alamelu

{"title":"User Request Emotion Prediction Approach in a Crowdsourcing Platform","authors":"K. Priyanga, M. Alamelu","doi":"10.1109/ICOEI48184.2020.9143021","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9143021","url":null,"abstract":"Sentiment analysis manages to recognize and arranging opinions or conclusions communicated in the source content. The far-reaching of the World Wide Web has brought another method for communicating the assumptions of people. Web-based social networking is creating an immense measure of estimation rich information as tweets, status updates, blog entries, and so on. Sentiment analysis of this user-generated information is extremely helpful in knowing the opinion of the group. Twitter sentiment analysis is troublesome contrasted with general sentiment analysis because of the existence of slang words and incorrect spellings. It is additionally a medium with a tremendous measure of data where clients can see the opinion of different clients that are categorized into various sentiment classes and are progressively developing as a key factor in dynamic. In this paper, the Emotion Prediction approach has been established by collecting the real-time twitter data from the Twitter API, pre-processing the data and to predict the emotions using various Machine Learning algorithms. The proposed user emotion prediction approach can be used to predict the emotions of the user and the user emotion approach has been compared with the machine learning and sentiment classification algorithms. With the comparative study of the algorithm, the best accuracy can be analyzed for the user emotion analysis. The crowdsourcing system can be used for the Business systems to predict the popularity of their brands and to make changes in their brand according to the feedback received. This proposed Emotion Prediction approach is mainly focusing on working with a real-time Twitter dataset. With the evaluated accuracy measure the end-user can make a quick prediction in the usage of the crowdsourcing system.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"294 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120838542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Implementation and Cryptanalysis of Lightweight Block Ciphers 轻量级分组密码的实现与密码分析

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9143027

Ms P. AiswaryaMeenakshi, Ms R. VeeraSanthya, Ms R.Sherine Jenny, R. Sudhakar

引用次数: 1

A Survey on Steganography using Least Significant bit (LSB) Embedding Approach 基于最小有效位(LSB)嵌入方法的隐写技术综述

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142896

Kriti Bansal, A. Agrawal, Nency Bansal

引用次数: 19

Audio Forgery Detection Techniques: Present and Past Review 音频伪造检测技术:现在和过去的回顾

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9143014

Prabhu R. Bevinamarad, M.S. Shirldonkar

{"title":"Audio Forgery Detection Techniques: Present and Past Review","authors":"Prabhu R. Bevinamarad, M.S. Shirldonkar","doi":"10.1109/ICOEI48184.2020.9143014","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9143014","url":null,"abstract":"The increase in low cost digital audio recorders, mobile applications and accelerating growth of the audio-based Internet of Things (IoT) has initiated ease in obtaining speech and audio data which will be later used for the purpose of identifying human traits, implementing voice authentication system and development of voice based embedded systems. On the other hand, the availability of free advanced mobile applications and audio editing software like Adobe, Audition CC, etc. enabling people to edit easily the meaningful content of audio recordings data for getting benefit from e-services or producing it in a courtroom for the purpose digital proof. Perhaps, most of the people do it for fun as well as the strong intention of hiding reality present. Moreover, the audio recording captured in a real-life today does not contain digital watermarking and signature content for authentication because of expensive procedure. Therefore, in recent years the researches focused more on developing active audio forgery detection techniques for copy-move and audio splicing forgeries to authenticate and verify for its genuineness. In this paper, put an effort to describe past and present developments in audio copy-move and audio splicing forgery techniques. The paper also presents an overview of audio forgeries, its classification, various post-processing operations used and available audio dataset for forgery sample preparation for benchmark testing.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"376 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122862435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13