Volume-4 Issue-5, November 2015 – International Journal of Recent Technology and Engineering (IJRTE)

E1503114515

IJRTE Journal — Thu, 03 Nov 2022 08:50:57 +0000

Secured Password Verification Captcha using Visual Cryptography
Aparna Raut¹, Kiran Sukal², Anushree Khedekar³, Monika Mohimkar⁴
¹Miss. Aparna Ankush Raut, Department of Computer Engineering, SPPU, Modern Education Society’s College of Engineering, Pune, (Maharashtra), India.
²Miss. Kiran Sukal, Department of Computer Engineering, SPPU, Modern Education Society’s College of Engineering, Pune, (Maharashtra), India.
³Miss. Anushree Khedekar, Department of Computer Engineering, SPPU, Modern Education Society’s College of Engineering, (Maharashtra), India. India,.
⁴Miss. Monika Mohimkar, Department of Computer Engineering, SPPU, Modern Education Society’s College of Engineering, Pune, (Maharashtra), India.
Manuscript received on 20 November 2015 | Revised Manuscript received on 30 November 2015 | Manuscript published on 30 November 2015 | PP: 46-47 | Volume-4 Issue-5, November 2015 | Retrieval Number: E1503114515©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: With the advent of internet, various online attacks has been increased and among them the most popular attack is phishing. Phishing is an attempt by an individual or a group to get personal confidential information such as passwords, credit card information from unsuspecting victims for identity theft, financial gain and other fraudulent activities. We are using visual cryptography algorithm for separating privileges. The use of visual cryptography is explored to preserve the privacy of an image CAPTCHA by decomposing the original image CAPTCHA into two shares (known as sheets) that are stored in separate database servers(one with user and one with server such that the original image CAPTCHA can be revealed only when both are simultaneously available; the individual sheet images do not reveal the identity of the original image CAPTCHA. Once the original image CAPTCHA is revealed to the user it can be used as the password. of attacks.
Keyword: — Visual Cryptography, SCD, DES, LSB
Scope of the Article: Cryptography and Applied Mathematics

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E1505114515

IJRTE Journal — Thu, 03 Nov 2022 08:45:48 +0000

Prognosis Modeling of Nitrous Oxide Emissions after Catalytic Reduction
Maya Stefanova¹, Rozalina Chuturkova², Evgeni Sokolovski³, Nina Ilieva⁴, Tsenislav Vlaknenski⁵
¹Maya Stefanova, Department of Ecology and Environmental Protection, Technical University, Varna, Bulgaria.
²Rozalina Chuturkova, PhD, Department of Ecology and Environmental Protection, Technical University, Varna, Bulgaria.
³Evgeni Sokolovski, PhD, Department of Engineering Ecology, University of Chemical Technology and Metallurgy, Sofia, Bulgaria.
⁴Nina Ilieva, PhD, Department of Engineering Ecology, University of Chemical Technology and Metallurgy, Sofia, Bulgaria.
⁵Tsenislav Vlaknenski, Department of Ecology and Environmental Protection, Technical University, Varna, Bulgaria.
Manuscript received on 20 November 2015 | Revised Manuscript received on 30 November 2015 | Manuscript published on 30 November 2015 | PP: 38-45 | Volume-4 Issue-5, November 2015 | Retrieval Number: E1505114515©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 present research aims to assess the effect of increasing the thickness of a secondary catalyst layer for N2O emission reduction at a nitric acid plant in Devnya, Bulgaria upon the ambient air quality. A mathematical modeling is done for simulating the dispersion of N2O emissions from the plant into the ground atmospheric layer taking into account the specific topographic and meteorological conditions of the region. Separate graphic models are done illustrating the dispersion of N2O emissions at two main scenarios – at current thickness of the secondary catalyst layer of 60 mm and at future increase of the catalyst layer thickness to 90 mm. Modeling results indicate that under equivalent meteorological conditions the planned increase of the secondary catalyst layer thickness leads to 69 % reduction of the annual average N2O concentration in the atmosphere. Maximum N2O concentrations over specific periods of time (1 hour, 8 hours and 24 hours) are also reduced over 3 times within the outlines of the exposed areas. Research results provide prognosis on the impact of the increased thickness of the secondary catalyst layer as a measure for N2O emission reduction upon the ambient air quality of the source region. Prognosis modeling provides a tool for assessing the contribution of N2O emissions from nitric acid production to the overall greenhouse gas emissions in long-term future periods regarding the implementation of quantitative commitments under the Kyoto Protocol.
Keyword: – Ambient air quality, Greenhouse gas emissions, Nitrous oxide, Prognosis air Dispersion modeling, Secondary catalyst layer.
Scope of the Article: Bio-Science and Bio-Technology

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E1504114515

IJRTE Journal — Thu, 03 Nov 2022 08:38:55 +0000

Comparison of Conventional and Fuzzy Logic Approach for DGA of EHV Transformer
Sachin G. Gaikwad¹, P.S. Swami², A. G.Thosar³
¹Sachin G. Gaikwad, ME student, Department of Electrical Engineering, Government College of Engineering Aurangabad, Aurangabad, (Maharashtra), India.
²P.S. Swami, Department of Electrical Engineering, Government College of Engineering Aurangabad, Aurangabad, (Maharashtra), India.
³Dr. A. G. Thosar, H.O.D., Department of Electrical Engineering, Government College of Engineering Aurangabad, Aurangabad, (Maharashtra), India.
Manuscript received on 20 November 2015 | Revised Manuscript received on 30 November 2015 | Manuscript published on 30 November 2015 | PP: 30-37 | Volume-4 Issue-5, November 2015 | Retrieval Number: E1504114515©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 deals with Dissolved gas analysis (DGA) of Extra High Voltage (EHV) transformers. Dissolved gas analysis (DGA) is a commonly used diagnostic testing tool which gives valuable information about fault developed inside the transformer. Development of incipient fault inside the transformer causes decomposition of oil and generation of combustible hydrocarbon gases. Amount and type of gas generated depends upon nature of fault in transformer.IEC and IEEE standards specify various techniques for interpretation of DGA test results. These conventional techniques include various ratio analysis methods. Many times these techniques fail to detect fault in transformer. This paper describes Fuzzy logic approach for interpretation of DGA test results. In this paper conventional and fuzzy logic method of DGA interpretation are implemented in MATLAB. DGA test data available for various EHV transformers is applied to fuzzy logic and conventional methods of DGA interpretation. Results obtained are compared with actual condition of transformer. Based on results obtained accuracy of fault detection for fuzzy logic method is calculated and compared with conventional interpretation methods
Keyword: DGA, Duval triangle, Fuzzy logic, IEC ratio..
Scope of the Article: Fuzzy logic

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E1500114515

IJRTE Journal — Thu, 03 Nov 2022 07:41:57 +0000

The Effect of CRM on Customer Satisfaction Field Study on Jordanian & Saudi Bank Services
Abdullah .M.Y. AL-Hersh¹, Mahmoud .M.M. AL-Zyood²
¹Dr. Abdullah .M.Y. AL-Hersh, King Abdulaziz University, Abdullah Sulayman, Jeddah 21589, Saudi Arabia.
²Dr. Mahmoud .M.M. AL-Zyood, King Abdulaziz University, Abdullah Sulayman, Jeddah 21589, Saudi Arabia.
Manuscript received on 20 November 2015 | Revised Manuscript received on 30 November 2015 | Manuscript published on 30 November 2015 | PP: 13-30 | Volume-4 Issue-5, November 2015 | Retrieval Number: E1500114515©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: Due to the rapid expansion in banks and the severe competition for customers’ retention, banks have started using various marketing strategies to achieve their objectives. Customer Relationship Marketing is one of the marketing strategies that may be used in this respect. The study aims to investigate the impact of Customer Relationship Marketing on Customer Satisfaction in Banking Industry in KSA and Jordan. An e-mail questionnaire was designed and sent to 500 hundred customers of Arab Bank in KSA and Jordan, creating two sample pools of respondents. A total of 151 of the collected questionnaires were valid. The study findings show medium to high degrees of positive attributes of the two samples toward Customer Relationship Marketing dimensions (trust, commitment, communication, empathy, social bonding and fulfilling promises) on customer satisfaction. The findings also indicate different attitudes regarding the importance of Customer Relationship Marketing dimension between the two samples. The findings also indicate different results regarding the impact of Customer Relationship Marketing on customer’s satisfaction due to gender, age and educational level. Ultimately, the study suggested that Arab bank, whether in the study’s two selected countries, or in other countries where it has branches and operates from, should apply Customer Relationship Marketing in order to maintain its market share in the market.
Keywords: Customer Relationship, Customer Satisfaction, Bank Services
Scope of the Article: Marketing and Social Sciences

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E1502114515

IJRTE Journal — Thu, 03 Nov 2022 07:38:35 +0000

Printed Text and Handwriting Identification in Noisy Document Images
Mohammed Jassim
Dr. Mohamed Jassim, Assistant Professor, College of Science and Information Technology, Iraq.
Manuscript received on 20 November 2015 | Revised Manuscript received on 30 November 2015 | Manuscript published on 30 November 2015 | PP: 10-12 | Volume-4 Issue-5, November 2015 | Retrieval Number: E1502114515©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 this project, we address the problem of segmenting and identifying text in noisy document images. The identification of machine printed text and handwriting is important because: (1) recognition techniques available for machine printed text and handwriting are significantly different (2) Handwriting in a document indicates corrections, additions that should be treated differently from the main content. Instead of using simple noise filtering techniques, our approach treat noise itself is treated as a class. Thus our approach becomes a three-class identification problem (Machine Printed Text, Handwriting and Noise). After performing text identification, post processing is performed to refine classification accuracy.
Keyword: Document Analysis, Printed Text, Segmentation, Markov Random Field, Hidden Markov Model.
Scope of the Article: Classification

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B1408054215

IJRTE Journal — Thu, 03 Nov 2022 07:33:37 +0000

Wireless Intrusion Detection System using Reputation
Santosh L Bidve¹, Bhushan S Deshmukh², Abhilash G Chamwad³, V K Pachghare⁴, Rahul B Adhao⁵
¹Santosh L Bidve, Department of Computer Engineering and Information Technology, College of Engineering Pune, Shivajinagar, Pune, (Maharashtra). India.
²Bhushan S Deshmukh, Department of Computer Engineering and Information Technology, College of Engineering Pune, Shivajinagar, Pune, (Maharashtra). India.
³Abhilash G Chamwad, Department of Computer Engineering and Information Technology, College of Engineering Pune, Shivajinagar, Pune, (Maharashtra). India.
⁴V K Pachghare, Department of Computer Engineering and Information Technology, College of Engineering Pune, Shivajinagar, Pune, (Maharashtra). India.
⁵Rahul B Adhao, Department of Computer Engineering and Information Technology, College of Engineering Pune, Shivajinagar, Pune, (Maharashtra). India.
Manuscript received on 20 November 2015 | Revised Manuscript received on 30 November 2015 | Manuscript published on 30 November 2015 | PP: 7-9 | Volume-4 Issue-5, November 2015 | Retrieval Number: B1408054215©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: Development in the field of Information Technology has led to increase in speed of Internet. With the increase in internet users there is a tremendous increase in network traffic. Increase in network traffic has also increased the threat of intrusion over the network. For the ever growing internet speed there is a necessity to modify the intrusion detection system in order to detect the intrusion threats across the network. In order to meet these needs of Intrusion detection system we can use the combination of packet based and flow based systems. Reduction of false alarm is also a matter of concern in intrusion detection.
Keyword: Intrusion Detection, Reputation, IP Flow, Packet Flow.
Scope of the Article: Wireless Communication

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D1490094415

IJRTE Journal — Thu, 03 Nov 2022 07:28:02 +0000

Monitoring of Health @ Home using Sensing Devices
E. Nagabhooshanam¹, Y. Gayathri², G.Praveen³, K. Deepak⁴, D. Sireesha⁵
¹Dr. E. Nagabhooshanam, PhD. Assistant Professor, Siddhartha Institute of Engineering & Technology, Hyderabad, (Telangana), India.
²Y. Gayathri, Assistant Professor, Siddhartha Institute of Engineering & Technology, Hyderabad, (Telangana), India.
³G.Praveen, Assistant Professor, Siddhartha Institute of Engineering & Technology, Hyderabad, (Telangana), India.
⁴K. Deepak, Assistant Professor, Siddhartha Institute of Engineering & Technology, Hyderabad, (Telangana), India.
⁵D. Sireesha, Assistant Professor, Siddhartha Institute of Engineering & Technology, Hyderabad, (Telangana), India.
Manuscript received on 20 November 2015 | Revised Manuscript received on 30 November 2015 | Manuscript published on 30 November 2015 | PP: 3-6 | Volume-4 Issue-5, November 2015 | Retrieval Number: D1490094415©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 current healthcare model is mostly in-hospital based and consists of periodic visits. Nowadays, chronic heart failure (CHF) affects an ever-growing segment of population, and it is among the major causes of hospitalization for elderly citizens. The actual out-of hospital treatment model, based on periodic visits, has a low capability to detect signs of destabilization and leads to a high re-hospitalization rate. To this aim, in this paper, a complete and integrated Information and Communication Technology system is described enabling the CHF patients to daily collect vital signs at home and automatically send them to the Hospital Information System, allowing the physicians to monitor their patients at distance and take timely actions in case of necessity. A minimum set of vital parameters has been identified, consisting of electrocardiogram, SpO2, blood pressure, and weight, measured through a pool of wireless, non-invasive biomedical sensors. A multi-channel frontend IC for cardiac sensor interfacing has been also developed. Sensor data acquisition and signal processing are in charge of an additional device, the home gateway. All signals are processed upon acquisition in order to assert if both punctual values and extracted trends lay in a safety zone established by thresholds. Per-patient personalized thresholds, required measurements and transmission policy are allowed. As proved by first medical tests, the proposed telemedicine platform represents a valid support to early detect the alterations in vital signs that precede the acute syndromes, allowing early home interventions thus reducing the number of subsequent hospitalizations.
Keywords: Biomedical Instrumentation, Chronic Heart Failure, E-health, Sensor signal processing, Tele-Monitoring, Vital signs sensors.
Scope of the Article: Biomedical Computing

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E1498114515

IJRTE Journal — Thu, 03 Nov 2022 07:24:41 +0000

Defending Against Password Guessing Attacks on Web Applications
P. Dayaker¹, Chandrakant K. Daf²
¹P. Dayaker, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, (Telangana), India.
²Mr. Chandrakant K. Daf, PG Student, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Hyderabad, (Telangana), India.
Manuscript received on 20 November 2015 | Revised Manuscript received on 30 November 2015 | Manuscript published on 30 November 2015 | PP: 1-2 | Volume-4 Issue-5, November 2015 | Retrieval Number: E1498114515©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: Brute force and dictionary attacks on password protected remote login services are increasing rapidly. Letting legitimate user’s login conveniently while preventing such attacks is difficult. Automated Turing Tests (ATTs) are effective and easy to implement but cause reasonable amount of inconvenience to the user. We discuss the existing and proposed login protocols designed to prevent large scale online dictionary attacks. We propose Password Guessing Resistant Protocol (PGRP), which is derived upon revisiting prior proposals designed to restrict such attacks. PGRP reduces the total number of login attempts from an unknown remote host while trusted or legitimate users can make several failed login attempts before being challenged by ATT.
Keyword: Brute force, Attacks, CAPTCHA, PGRP.
Scope of the Article: Internet and Web Applications

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