Volume-8 Issue-1C2, May – International Journal of Recent Technology and Engineering (IJRTE)

A12270581C219

IJRTE Journal — Sat, 24 Jun 2023 07:15:55 +0000

Commercialization of Education
Hemlata¹, K.L. Sharma²
¹Hemlata, Department of Social Science Sociology, J.N.U, Jaipur (Rajasthan), India.
²Pro. K.L. Sharma, Department of Social Science Sociology, J.N.U, Jaipur (Rajasthan), India.
Manuscript received on 21 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1266-1267 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A122700581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Education is the instrument that refines the person’s personality and bring out the hidden knowledge inside it. Without education human beings are equal, because education alone is helpful in the creation of civilization and culture. Education makes superior to other creatures. The teacher works like a guide for the society. In society, the teacher gets the respect of the first class person At present, the importance of education and teacher is increased, the more it has been used incorrectly, education is found in the market like anything els. Education has been commercialized. Responsible teacher and private academic institutions of educational commercialization can be considered. Teacher have mead education a business, from which a poor learner has to be deprived of education.such learners can not even complete their education initiation. Parents tends to private institutions due to lack of educational quality of government educational institutions. In this case, demand for private institutions increase. Here ,from the costume of the learners to the books, all the item have to be obtained from the institutions. It the condition of education is prominently seen. The batter quality is seen where the batter and the more grinding. It has been in the parents that the private institutions provide good quality. In the modern times where the commercialization of education has been observed, in the government sector. Teachers are also professionalized by the administration. When the recruitment of three instructor teachers is made in the pay scale of a regular teachers such recruits also commonly gave rise to teachers commercialization by appointing teachers on contract. Where the administration gets its profits, it also has a broad impact on educational quality. The matter is of a teacher or commercialization of education has had a huge effect both in the areas.
Keywords: Education, Commercialization, Arbitrary Fees, Social Reaction.
Scope of the Article: Smart Learning and Innovative Education Systems

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A12260581C219

IJRTE Journal — Sat, 24 Jun 2023 07:10:27 +0000

Cryptographic Pairing-Free Attribute Based Encryption
Venkata Rao J¹, V. Krishna Reddy², Rajasekhar Kommaraju³
¹Venkata Rao J, Assistant Professor, Department of IT, NRI Institute of Technology, Agiripalli (Andhra Pradesh), India.
²Dr. V. Krishna Reddy, Professor, Department of CSE, K L University, Vaddeswaram, Guntur (Andhra Pradesh), India.
³Rajasekhar Kommaraju, Assistant Professor, Department of IT, Lakireddy Bali Reddy College of Engineering, Mylavaram (Andhra Pradesh), India.
Manuscript received on 21 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1260-1265 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A122600581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Protection is the most critical mission and impediment for cloud computing carrier adoption this is due to its vital tendencies together with useful useful resource pooling, virtualized nature, elasticity, and a few measured offerings. For a successful cloud deployment, customers need to have a examine a series of ten steps and in fact virtually one in all it had been mentioned in detail which focuses mainly on cloud protection, privacy, and information residency troubles. on this regard, the Ciphertext-insurance Attributed based totally completely totally Encryption (CP-ABE) toolkit has been installation and the respective going for walks surroundings is analysed. Pairing an inexperienced set of rules with the Elliptic Curves outcomes in Our Proposed Cryptographic Pairing-loose characteristic based totally Encryption (CPF-ABE) scheme gives the improved safety degrees, masses a whole lot much less storage expenses, resist with collusion assaults, and immoderate computational performance.
Keywords: Cloud Computing, Security, Privacy, Residency, Pairing, CP-ABE, ECC.
Scope of the Article: Encryption Methods and Tools

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A12250581C219

IJRTE Journal — Sat, 24 Jun 2023 07:01:20 +0000

An Incompetent Reliable Input Distribution Scheme for Mobile Cloud Computing
Naveena J, E. Suresh Babu
¹Naveena J, M.Tech, Department of CSE, CMR Engineering College, Hyderabad (Telangana), India.
²E. Suresh Babu, Associate Professor, Department of CSE, CMR Engineering College, Hyderabad (Telangana), India.
Manuscript received on 21 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1257-1259 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A122500581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In improving the quest engine and the Emura plan, for every purchaser, each consumer creates a thriller key with the aid of using multiplying a few partial keys, which rely upon partial keys used by the ancestors inside the hierarchical tree. CRA ought to have a random confidentiality fee for customers without affecting the safety of the EIB’s revocable plan some other downside is insufficient scalability, because of this that KU-CSP should have a secret cost for everyone. In this newsletter, we propose a trendy cancelable plan from IBE that has the strength to disable cloud to clear up the 2 shortcomings, mainly, substantially enhance performance and additionally CRA in fact thriller the device to customers. eventually, we’ve got expanded our proposed EIB plan to offer a CRA-assisted authentication scheme with restrained rights to govern a large wide variety of numerous cloud offerings. inside the current-day device, the wrong conduct / committed by users in identification-PKS configuration is, of direction, high. The instantaneous Cancel method makes use of a dependable, internet-primarily based authoritative authority to lessen the load of PKG control and assist customers decrypt encrypted text. For experimental outcomes and saturation assessment, our plan is ideal for mobile gadgets. For safety evaluation, we have proven that our plan is categorically secure in opposition to adaptive identification assaults below the idea of the differing resolution of Diffie-Hellman. The proposals gift the framework in our IBE Abolishable Plan with CRA and define their security ideas for capacity threat and assault version. CRA-supported documentation scheme with confined duration rights to manipulate a big quantity of various cloud services.
Keywords: Cloud Revocation Authority (CRA), Outsourcing Computation, Revocation Authority.
Scope of the Article: Cloud Computing

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A12240581C219

IJRTE Journal — Sat, 24 Jun 2023 06:55:19 +0000

Remote Data Integrity-Checking Protocol with Enhanced Protection to Secure Storage in Cloud
Y.V.B.N. Sai Varun¹, C.N. Ravi²
¹Y.V.B.N. Sai Varun, M.Tech, Department of Computer Science and Engineering, CMR Engineering College, Medchal (Telangana), India.
²C.N. Ravi, Professor, Department of Computer Science and Engineering, CMR Engineering College, Medchal (Telangana), India.
Manuscript received on 21 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1253-1256 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A122400581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: An extended way flung records Integrity Checking (RDIC) deliver energy to a web server to expose off to a reviewer the uprightness of set away reviews. it’s far an essential enhancement for an extended way off gathering, for instance, disseminated capability. The evaluator is probably a opposition more records proprietor; in this manner, a RDIC proof is based upon commonly on generously available information. To report the hobby of information safety beside an untrusted assessor, Hao et al. officially determined “non-public safety in region of outsider verifiers” as solitary of the protection and safety requests and endorsed a manner appealing this splendor. regardless of the fact that, we see that every modern-day techniques with open simple nature assisting data refresh, which includes Hao et al’s. recommendation, call for the data owner to distribute a few meta-data recognized with the spared facts. We display that the inspector can also want to inform whether or not or now not or now not or no longer or not or no longer or now not a patron has spared a specific information and connection high-quality components of those facts counting on the discharged meta-data in Hao et al’s. conference. at the give up of the day, the idea “personal safety in opposition to outsider verifiers” is not sufficient in defensive statistics non-public safety, and moreover in this way, we gift “0-facts safety” to make sure the outsider verifier discovers now not a few element regarding the client’s facts from abruptly to be had information. We assist the protection of Hao et al’s. approach, building up a model to audit the execution and moreover execute research to make apparent the expediency of our advice.
Keywords: Cloud Computing Data Integrity Privacy Remote Data Integrity Checking.
Scope of the Article: Remote Sensing

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A12230581C219

IJRTE Journal — Sat, 24 Jun 2023 06:48:40 +0000

A Novel Privacy Preserving Public Auditing for Shared Data in the Cloud
Javvaji Venkatarao¹, K.S.P. Keerthi², M. Rajamohjan³
¹Javvaji Venkatarao, Assistant Professor, Department of Computer Science Engineering, CMR Engineering College, Medchal Hyderabad (Telangana), India.
²K.S.P. Keerthi, Department of Computer Science Engineering, CMR Engineering College, Medchal Hyderabad (Telangana), India.
³M. Rajamohjan, Assistant Professor, Department of Computer Science Engineering, CMR Engineering College, Medchal Hyderabad (Telangana), India.
Manuscript received on 21 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1247-1252 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A122300581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In modern-day Computing worldwide Cloud figuring is one of the finest improvement which uses advanced computational strain and it enhances facts sharing and facts putting away capacities. number one trouble in allocated computing have become problems of facts uprightness, statistics safety and data get proper of get proper of access to to with the aid of the usage of the use of unapproved customers. TTA (depended on 0.33 party) is finished to shop and provide information in distributed computing. trade and sharing of statistics is without a doubt honest as a assembly. To verify respectability of the mutual facts, human beings in the gathering desires to take a look at in marks on all not unusual facts squares. particular squares in shared facts are for the most element marked via manner of severa clients due to data changes carried out with the useful resource of using numerous clients. customer renouncement is one of the pleasant safety risks in records collaborating in gatherings. Amid purchaser denial shared facts square marked via the use of renounced customer desires to down load and re-sign via present customer. This assignment is extremely inefficacious because of the vast size of shared information obstructs on cloud. PANDA Plus is the new open evaluating system for the keeping up honesty of imparted information to productive client disavowal in the cloud. This instrument is in light of intermediary resignatures idea which permits the cloud to re-sign squares for the benefit of existing clients amid client disavowal, so that downloading of shared information pieces is not needed. PANDA Plus is general society examiner which reviews the respectability of shared information without recovering the whole information from the cloud. It additionally screen cluster to confirm various examining errands all the while.
Keywords: Privacy Data Cloud Information Computing.
Scope of the Article: Cloud Computing and Networking

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A12220581C219

IJRTE Journal — Sat, 24 Jun 2023 06:39:52 +0000

A New Approach for Secure Login Method and Forestall Cyber bulling in Social Media
K Vijaya Babu¹, Mrutyunjaya S Yalawar², Shantala S Yalawar³
¹K Vijaya Babu, Department of CSE, CMR Engineering CMREC College, Hyderabad (Telangana), India.
²Mrutyunjaya S Yalawar, Department of CSE, CMR Engineering CMREC College, Hyderabad (Telangana), India.
³Shantala S Yalawar, TCS Pvt Ltd, System Engineer, Bangalore (Karnataka), India.
Manuscript received on 21 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1243-1246 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A122200581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The development in the today’s technology plays an important role. There are lot of websites like social networking media is essential for various people where number of sites is dramatically high compare to other websites in the internet. The some of the social networking sites are used for both communication and as well as to promote their business Online. Due to the rapid increase in growth of various social networking websites are affected by various cyber attacks like by sharing data which is leaking due to lack of privacy. Hence the various users who are connected to social network websites with their own systems which can be affected by attacks. The various attacks can be like targeted, hacked by someone, steeled information even though antivirus system which we using are not enough to protect the attacks which can be caused by various sites. We proposed overall security like login methods, for various attacks, even like cyber bulling in various sites using voice recognition.
Keywords: Cyber-attacks, Social Networking, Voice-Recognition.
Scope of the Article: Plant Cyber Security

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A12210581C219

IJRTE Journal — Sat, 24 Jun 2023 06:32:38 +0000

Opinion Analysis of Digital India Mission
M. SreeVani
M. SreeVani, Department of Computer Science and Engineering, MGIT, Gandipet, Hyderabad (Telangana), India.
Manuscript received on 21 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1240-1242 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A122100581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: “DigitalIndia” project has launched thru Indian authorities. This venture end up anticipated with purpose to digitally empower the people parents of a. authorities of India can offer unfastened wireless in Trains & Railway Stations, excessive tempo internet offerings, Boast New Scheme-Digi-Locker. severa amount of information is accrued approximately Digital India venture in social media.in this paper, opinion evaluation is completed to discover how human beings enjoy about a Digital India. ten thousand tweets have been accumulated and statistics mining became achieved to recognize the real opinion of the citizens about Digital India, the use of Random forest classifier set of guidelines. The effects of evaluation were very convincing and strong that the Indian residents had a nice opinion inside the course of the mission “Digital India”.
Keywords: Digital India, Twitter Data, Opinion Analysis.
Scope of the Article: Digital Clone or Simulation

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A12200581C219

IJRTE Journal — Sat, 24 Jun 2023 06:21:32 +0000

An Ameliorate Approach for Near Duplicate Page Detection Considering Synonyms of Keyword
V. A. Narayana¹, Gaddamidhi Sreevani², K. Srujan Raju³
¹Dr. V. A. Narayana, Department of CSE, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
²Gaddamidhi Sreevani, Department of CSE, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
³Dr. K. Srujan Raju, Department of CSE, CMR Technical Campus, Hyderabad (Telangana), India.
Manuscript received on 20 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1232-1239 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A12200581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Past due years have visible the exquisite improvement of world big internet (WWW). statistics is being open on the blade gertip each time anywhere thru the big internet preserve. The execution and unwavering great of internet motors on this manner face good sized troubles because of the nearness of wonderful measure of net facts. The voluminous degree of net statistics has delivered approximately issues for internet crawlers prompting the way that the indexed lists are a number of the time of a great deal much less significance to the patron. what is greater, the nearness of replica and near reproduction net information has made a further overhead for the net indexes basically influencing their execution. the decision for for integrating data from heterogeneous assets ends in the hassle of close to-reproduction net pages. The detection of close to reproduction documents interior a set has these days end up a place of exceptional interest. on this paper, a talented approach for the discovery of close replica net website pages in net slithering which makes use of key terms alongside side their synonyms became supplied and the bear in mind of assessment score degree some of the files being in contrast. except that, Narayana et al proposed “a very unique and efficient method for close to reproduction web web page Detection in internet slithering”. in this technique, in the starting the watchwords are eliminated from the slithered internet web page pages and the likeness score among stpages is decided relying on the separated catchphrases. however this approach doesn’t don’t forget with equal semantic content material. This decreases the accuracy and efficiency of identifying near duplicates pages. In the new system which is displayed, which is to survive the above specified problem, all the keywords are collected from the crawled page and afterward for the each frequent occurring keyword their synonyms are considered, and then the similarity score is calculated between the two pages. By this technique, the duplicate pages which were created by modifying the keywords with their synonyms are also detected and hence not added to the repository.
Keywords: Near Duplicate Documents, Similarityscore Measure, Confusion Matrix, Storage Space Complexity, Memory usage Analysis, Computation Time Analysis.
Scope of the Article: Analysis of Algorithms and Computational Complexity

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A12190581C219

IJRTE Journal — Sat, 24 Jun 2023 06:13:57 +0000

Classification of Knowledge Based Image using Decision Tree Algorithm
Vadthe Narasimha¹, B.Satyanarayana², K. Krishnaiah³
¹Vadthe Narasimha, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
²Dr. B. Satyanarayana, CMR Institute of Technology, Hyderabad (Telangana), India.
³K. Krishnaiah, TKR College of Engineering, Hyderabad (Telangana), India.
Manuscript received on 20 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1227-1231 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A12190581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper explores a desire tree classifier primarily based totally on machine analyzing to extract understanding within the shape of class policies from the satellite tv for pc and topographical garage records .The accuracy of the classifier can be checked by means of a test set. The classifier, as quickly as licensed is used to assume the magnificence label of future unclassified statistics. really specific models are proposed for kind, like preference trees, neural networks, and theorem perception networks, fuzzy devices, and everyday fashions. some of the ones fashions desire bushes rectangular measurement used for type. ID3 [and its variants like C4.5] and CART square degree a number of the handiest identified classifiers that use preference wooden. unique desire tree classifiers comprise c program language period Classifier and dash which reputation on making it feasible to mine databases that do not in form in crucial memory with the aid of manner of really requiring consecutive sweeps of the records.
Keywords: Decision Tree Algorithm, Data Mining, Multispectral Images, C4.5 Algorithm.
Scope of the Article: Image Security

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A12180581C219

IJRTE Journal — Sat, 24 Jun 2023 06:07:12 +0000

State-of the-Art: NLP Amazing Applications of Deep Learning
Gaddamidhi Sreevani¹, V. A. Narayana², Anuradha Boya³
¹Gaddamidhi Sreevani, Department of CSE, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
²Dr. V. A. Narayana, Department of CSE, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
³Anuradha Boya, Department of CSE, CMR College of Engineering & Technology, Hyderabad (Telangana), India.
Manuscript received on 20 June 2019 | Revised Manuscript received on 11 July 2019 | Manuscript Published on 17 July 2019 | PP: 1222-1226 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A12180581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Natural language processing is now not “solved“, but deep learning is required to get you to the brand new on many difficult problems in the field. Let’s seem to be examples to give you a snapshot of the results that deep learning is capable of car-rying out in NLP subject. over the previous few years, neural networks have re-emerged as effective system-getting to know models, yielding contemporary results in fields on the facet of text type, Speech popularity, Caption era, gadget Translation, file Summarization, query Answering, image reputation. all of the extra as of overdue, neural gadget models started out to be related furthermore to literary regular dialect symptoms, yet again with particularly encouraging effects. This instructional workout opinions neural system models from the element of view of normal dialect making prepared research, searching for to update not unusual dialect analysts with the neural strategies. This version communicate enter encoding for natural language duties, feed-ahead networks, convolution networks, recurrent networks and recursive networks, as well as the computation graph abstraction for automatic gradient computation. on this vein, we provide an define of the current deep learning Applications relevant to the Natural language processing. Moreover, we talk about various open research issues, which researchers may find helpful later on.
Keywords: Text Classification, Text translation, Speech Recognition, Image Caption Generation, Neural Networks, Deep Learning, Machine Learning, Speech-to-text, CNN,RNN.
Scope of the Article: Deep Learning

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