2017-18

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http://172.16.1.132:4000/handle/123456789/9408

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Power Efficient Image Encryption for Low end Devices
(2018-06-19T05:57:59Z) CHANDER, S P; SAI, SHANKAR
In past years, many encryption techniques have been proposed to protect data from unauthorized access. It is not suitable to use the existing encryption algorithms for image encryption that are given out for the textual data. The encryption schemes used for images are computationally expensive and power consuming, hence these are not suitable for low end devices. In this project, an image encryption scheme is proposed which includes pixels shuffling in rows and columns using two key vectors and then mathematical Zeta- Riemann function is used to scramble the image. The proposed cipher is a hybrid system based on Rubik’s cube principle and pixel shuffling, resulting in a fast, accurate and energy efficient image encryption which is one of the key requirements of low computing devices especially mobile phones.
Reversible Data Hiding in Encrypted Images Using Interpolation-Based Distributed Space Reservation
(2018-06-19T06:02:26Z) ABHINANDAN, JOSHI; ASHISH, KUMAR L; ABHINAV, NARAYAN; VIDYA, R
Reversible data hiding (RDH) in encrypted images has attained more attention recently in research community. This paper proposes a novel scheme of reversible data hiding in encrypted images using distributed space reservation. Privacy protection of additional data as well as cover media makes it attractive for applications in medical imaging, cloud storage, forensics etc. In this paper, a new method for reversible data hiding in encrypted images (RDH-EI), is proposed. Our method adopts the approach of reserving sufficient space for the additional data before encrypting the cover image. After the original image is encrypted by the content owner using cipher texts, the data-hider compresses a series of selected bits taken from the encrypted image to make room for the secret data. First we identify suitable blocks for hiding data from various parts of the image. Before encrypting the image, one or more LSB-planes of these blocks are backed-up into remaining parts of the image using a high-performing traditional RDH method that works on unencrypted images. After encrypting the image, those LSB planes are used to hide additional data. Recovery of original cover image and error-free extraction of additional data is guaranteed always. In case the receiver has the encryption key only, he/she can recover the original image approximately with high quality using an image estimation algorithm. If the receiver has both the embedding and encryption keys, he/she can extract the secret data and perfectly recover the original image using the distributed source decoding. Moreover, the proposed method is simple and intuitive. Experimentally results show that our method outperforms the state-of-the-art methods for reversible data hiding in encrypted images.
A Reliable Policy Management Framework in Cloud
(2018-06-19T06:08:59Z) ANTONETE, PRANAV M; UTKARSHA, KHANAL; ARATHI RAJENDRA, TIWARI
Security challenges are the most important obstacle for advancement of IT-based on-demand services and cloud computing as an emerging technology. In this paper, a structural policy management engine has been introduced to enhance the reliability of managing different policies in clouds and to provide standard and also dedicated security levels (rings) based on capabilities of the cloud provider and requirements of cloud customers. Accordingly, policy database has been designed based on capabilities and policy engine establishes appropriate relations between policy database and SLA engine to provide security terms as a service. Furthermore, policy match maker and reasoning engine have been designed for syntactic and semantic analysis of security requests based on three-levels of protection ontology to enhance the process of policy management in clouds.
Analysing Public Response for Government Initiatives using Machine Learning
(2018-06-19T07:00:09Z) MIR KAMRAN, ABBAS; SAHANA, K; NEHAL, SAHU
Sentiment analysis or opinion mining is one of the major tasks of NLP (Natural Language Processing). Sentiment analysis has gain much attention in recent years. In this paper, we aim to tackle the problem of sentiment polarity categorization, which is one of the fundamental problems of sentiment analysis. A general process for sentiment polarity categorization is proposed with detailed process descriptions. Indian Government has launched major reforms like Swach Bharat, demonetization and twitter data sets about public opinion on these policies are extracted and sentiment analysis is done on it in this project work.
An Eye for the Visually Impaired to Know the Bus Number and The Type of Bus Arriving at the Bus Stop
(2018-06-19T07:06:45Z) NAVEEN, RAJ; RUDRA, ROYCHOUDHURY; KAPIL, KUMAR; MANISH
At the bus stops we usually see visually impaired people asking help of people present over there to know the bus number of the buses arriving . They have to depend on others for knowing the information and details related to the buses arriving. This information makes them to decide whether or not to board the bus as per their destination. The required information are generally the bus number, its destination and the type of bus(like Volvo,KIA,etc).This project is designed to make the blind independent of others and not asking for help. This will help the visually impaired at the bus stops to automatically know the details of the next bus arriving and as per that information they can instantly come up with a decision of boarding the particular bus. We will use a RFID cards and card reader to track the bus which will help in knowing the bus number and destination. Image processing is used to identify colour of the bus, which helps in knowing the type of bus. E.g. Volvo buses have Blue colour, KIA buses are green in colour, in normal BMTC buses also there are various types. This above information will also help in knowing the number of doors the bus has, some buses have single door and some have two doors. Accordingly, visually impaired can stand to get into the bus. The information after image processing will be converted into speech and sent to the required bus stops via speakers as output.
Design and Implementation of ATM Security using Finger Print Recognition
(2018-06-19T07:11:53Z) VINDHYA, B V; LAKSHMI, M; KAVYA, M
Identification and verification of a person today is a common thing; which may include door-lock system, safe box and vehicle control or even at accessing bank accounts via ATM, etc which is necessary for securing personal information. The conventional methods like ID card verification or signature does not provide perfection and reliability. The systems employed at these places must be fast enough and robust too. Use of the ATM (Automatic Teller Machine) which provides customers with the convenient banknote trading is facing a new challenge to carry on the valid identity to the customer.Since, in conventional identification methods with ATM, criminal cases are increasing making financial losses to customers. This Paper designs a simple fingerprint recognition system using microcontroller. The system uses R305 fingerprint module to capture fingerprints with its DSP processor and optical sensor. This system can be employed at any application with enhanced security because of the uniqueness of fingerprints. It is convenient due to its low power requirement and portability. The main objective of this system is to develop a system that will increase the ATM security.
Smart Traffic Light Control System
(2018-06-19T07:52:57Z) ADITYA, RAJ; GAURAV, PALEI; VIJAY, KUMAR; ALEXANDER
Traffic light control systems are widely used to monitor and control the flow of automobiles through the junction of many roads. They aim to realize smooth motion of card in the transportation routes. However, the synchronization of multiple traffic light systems at adjacent intersections is a complicated problem given the various paramaters involved. conventional systems do not handle variable flows approaching the junctions. In addition, the mutual interference between adjacent traffic light systems, the disparity of card flow with time, the accidents, the passage of emergency vehicles, and the pedestrian crossing are not implemented in the existing traffic system. This leads to traffic jam and congestion. we propose a smart traffic light sontrol system that automatically scans the density of traffic and manages the traffic light accordingly
The Implementation and Detection of Keyloggers in a System
(2018-06-19T07:57:32Z) AISHWARYA, SANKHLA; DEEKSHYA, MOHAPATRA; SONIA K, JOHN; SUMUKH, S
The objective of this project is to detect and alert the user of the presence of a keylogger in the system. Keystroke logging is the action of recording (logging) the keys struck on a keyboard, typically covertly, so that the person using the keyboard is unaware that their actions are being monitored. Data can then be retrieved by the person operating the logging program. A keylogger can be either software or hardware. Keyloggers are most often used for stealing passwords and other confidential information. We will be focusing on software based keyloggers. Software keyloggers work by setting up a Windows hook that tells Windows that whenever the user presses a key or uses their mouse to tell the keylogger what keys were pressed, where your mouse moves, and where your mouse clicks. A software keylogger will be created and implemented to simulate an attack and a system to detect the keylogger is also created
Room Temperature Control and Fire Alarm/Suppression IoT Service Using MQTT
(2018-06-19T08:02:52Z) AMBIKA, SRINIVAS; GOUTHAMI; RASHMITA; MANJUNATH
The objective of this project Is to build an MQTT(Message Queue Telemetry Transportation) broker on Amazon Web Service(AWS). The MQTT broker has been utilized as a platform to provide the Internet of Things(IoT) services which monitor and control room temperatures, detects fire, and suppresses alarm. Raspberry pi is used as the IoT end device connecting sensors and actuators to the platform via Wi-Fi channel. In this project smart home scenario is created .Smart room control is implemented in hardware and software and system operations are verified. MQTT and AWS are good technical candidates for small IOT business applications.
Test Station for Telecommanding System of Spacecraft
(2018-06-19T08:06:44Z) ANUSHA, A; G, AISHWARYA; GOUTHAM, T; J R, KUSUMA
The data system for the processing of telemetry and tele-command data for the ISRO space research program is in the process of being implemented. It consists of data processing, monitoring and transmission facilities including hardware and software at the ground station with various antennas and at the mission control center. The system is designed on distributed processing techniques based on processors of various sizes. The software is modular and can easy be adjusted for the various mission requirements. Data transmission is based on standard protocols.
Crowd Density Determination for Efficient Public Transportation Facilities
(2018-06-19T08:57:40Z) AYUSH, THAKUR; MARUTI, H; JYOTI, R; JUHISHA, UDHAY U
Existing information systems for urban public transportation are empowering travellers to optimize their trips with respect to travel duration. Experience with such systems shows that this is a viable approach. However, we argue that solely relying on trip duration as the primary indicator for satisfaction can be limiting. Especially, in urban settings providing additional information such as the expected number of passengers can be highly beneficial since it enables travellers to further optimize their comfort. As technical basis for determining the number of passengers, we have built an inexpensive hard-and software system to estimate the current number of passengers in a vehicle. Furthermore, we have deployed the system in several buses in the city of Madrid. In this paper, we describe the overall design rationale, the resulting system architecture as well as the underlying algorithms. Furthermore, we provide an initial report on the system's performance. The initial results indicate that the system can indeed provide a reasonable estimate without requiring any manual intervention.
Intelligent Natural Language Voice Assistant for Real Time Railway Information
(2018-06-19T09:01:09Z) BHAVAN, A; ADITHYA, REDDY; ADITHYA, V S
A natural language voice service that integrates with Google Assistant, that anybody with an Android can use without needing to install anything, that lets users ask for the information they want in plain and simple English, and delivers accurate and up-todate information in response. The user can ask for and receive real-time information about train routes, PNR status, live running info with current status and position of trains, fare, seat availability, cancelled, diverted, and rescheduled, station information, trains currently at a station etc.
Twitter Real Time Review Report Generator
(2018-06-19T09:05:16Z) CHAYA CHANDRASHEKAR, SHETTY; CHETANA M, JYOTHI; JYOTHI; NAYANA, M M
In general, opinion mining has been used to know about what people think and feel about their products and services in social media platforms. Millions of users share opinions on different aspects of life every day. Spurred by that growth, companies andmedia organizations are increasingly seeking way to mine information. It requires efficient techniques to collect a large amount of social media data and extract meaningful information from them. Till now, there are few different problems predominating in this research community, namely, sentiment classification, feature based classification and handling negations. A precise method is used for predicting sentiment polarity, which helps to improve marketing strategies. This paper deals withthe challenges that appear in the process of Sentiment Analysis, real time tweets are considered as they are rich sources of data for opinion mining and sentiment analysis. This paper focus on Sentiment analysis, Feature based Sentiment classification and Opinion Summarization. The main objective of this paper is to perform real time sentimental analysis on the tweets that are extracted from the twitter and provide time based analytics to the user.
Location Based Online Shopping
(2018-06-19T09:09:13Z) G.VAMSI KRISHNA, REDDY; SRIKANTHA HEBBAR, M P; VIVEK; LAKSHMIKANTH, P S
With the development of modern technology, Internet offers people more and more convenience. Among those, the most attractive one for people is doing shopping online. Now a days shopping in super market has become very irritating and time consuming. So we developed an application where within 5km customer can log into his registered account which includes bank details, email, phone number. By developing new smart phone application, the industry has been extending the smart market. As a result, people start depending on the online service. It means that people purchase more products from the internet rather than shopping at the offline store. The only problem in online shopping is that the customer has a doubt about the quality of the product but in our app the customer has an idea about the quality of the products.
Fault Prediction of an Actuator or Sensor of a Satellite
(2018-06-19T09:12:37Z) GIREESH GANAPATI, GAONKAR; GOKUL VIHARI, KODURU; H.S., SUMANTH; K.S., SHASHANK
This paper will fortify the existing hardware by predicting the fault in the reaction wheel. Reaction wheels present in the AOCS may fail over the time, mainly due to friction. We collect the data from satellite and use bigdata analytics and statistical measures to extract the new insights and regression analysis is performed which is a part of machine learning and predict behaviour of the parameters. We implement this in MATLAB and RStudio. Computation process is carried out in cloud and amazon AWS (ec2 instance) is used for this purpose. If the fault is predicted warning is sent about the time of failure.
Portable Cash Transactions in Rural Areas using Fingerprint & Aadhaar
(2018-06-19T09:27:14Z) Harshith, Sharma P; Suman, K N; Syed Hussain, M
The Digital World that we live in today is redefining every perspective & transforming India into a digitally empowered society and knowledgeable economy. In the today’s scenario the banking services and transactions easy but most of the places in india lack ATM facility especially the rural areas. Also there is a lot of risk to losing money if ATM pin misused due to poor knowledge about ATM transactions or if it is hacked by a masquerader, so to prevent all security breaches we propose biometric based. “ Portable Cash Transaction using Fingerprint & Aadhaar”
Satellite on Board Software Lifecycle Non Conformances Analysis
(2018-06-19T09:30:29Z) IMPANA, S; VINU, PAUL; DEESHMA, R; CHINTHANA, PRAKASH
Spacecraft telemetry is the satellite health data. Spacecraft health data comes as a formatted digital data in terms of frames and sub-frames to the ground that is called telemetry. The Telemetry for each raw data, there is a defined definition as per the raw data that we get in terms of binary bit streams that has to be converted to English text. Data analysis is done on this English text. For this data analysis we are converting binary digit to English text. On this English text we have floating utilities which are floating and manually finding out some of the decisions. Data mining platform for satellite health data. Presently data analysis is carried out manually on raw space craft health data. This is time consuming both in terms of data processing and searching. A platform proposed will help in faster data processing and analysis by making use of hadoop open source HDFS and MapReduce algorithm as SaaS on PaaS . Software As A Service (SaaS) for the processing of Big Data which is more than 200 terabytes of data and to implement this idea that is MapReduce algorithm on a platform base (PaaS) in order to provide an easier and more convenient way of processing the large amounts of data in a simpler, convenient manner that is less time consuming and is very helpful on a long term basis.
Network Traffic Monitoring, Measurement and Analysis of Performance of Network Devices
(2018-06-19T09:35:17Z) KAVYA, K; SANCHITA P, KUSHNOOR; DEEPIKA, R; VANDANA, SHARMA
From large portions computers, hubs on switched networks, Also ethernet should Possibly atm or 10Gps Ethernet, managers necessity All the more complex network_traffic screening Furthermore examination devices so as will manage the expand. These devices need aid needed, not main on fix organize issues for time, as well as on prevent organize failure, on recognize inside Also outside threats, What's more make great choices for organize arranging. This one task gives the greater part time permits organize movement following what’s more examination instruments to non-profit Also business zones. Those devices would sorted on two classifications In light of information securing methods: system movement stream from sFlow-like organize gadgets What's more SNMP. This undertaking will make comprised for three modules to be specific the client interface module, facts module Furthermore system examination module. Client interface module gives every last one of Graphical interface parts important for those client should connect with those framework. Those examination module will investigate the approaching packets under an computer, recognizing them Furthermore passes those data under those detail module i.e. The server database. Finally, those detail module can those necessary count In view of those majority of the data What's more process data that camwood a chance to be comprehended toward the client. This framework may be accordingly exceptionally of service of the clients Furthermore a organize director specifically who will be by answerable for observing things once a organize. This framework is An system analyser (also known as protocol analyser & bundle sniffer), it performs ongoing bundle capturing, 24x7 organize monitoring, propelled protocol analysing, in-depth bundle decoding, What's more programmed master diagnosing. It permits you should get an acceptable see of the unpredictable network, behaviour bundle level analysis, What's more troubleshoot organize issues. This framework may be functional to a organize director who needs will identify, diagnose, What's more unravel system problems, an organization supervisor who needs with screen client exercises on the organize Furthermore guarantee that the corporation’s interchanges holdings need aid safe, alternately a specialist who need should fast unravel system issues to customers.
Handwritten Document Conversion Using Regional Convolutional Neural Network
(2018-06-19T09:38:51Z) MOHAN KRISHNA, B; SWATHI, MADHAVAN; PRAKASH, H; RAHUL, N
This project converts handwritten document into its corresponding digital format using Regional Convolutional Neural Network (R-CNN). R-CNN is the pre-eminent machine learning visual object detection algorithm. Since, digital documents can be easily manipulated, stored and retrieved, this project serves various applications such as processing cheques in banks, converting handwritten books into digital copies that can used for publication, retrieving information from application forms, etc. Firstly, the handwritten document image is pre-processed to produce better results using adaptive thresholding, which removes noise and artifacts in the image. Secondly, character segmentation is performed in order to obtain individual handwritten characters from the image. The position of each of these characters is retrieved in order to position the characters in the final text document. Thirdly, these characters are passed one-by-one into the Convolutional Neural Network (CNN) model, which performs classification and produces the probability of each character class with one character class having the highest probability using softmax function. The character with the highest-class probability is chosen as the output character and is written into the text document based on its corresponding position.
Gesture Recognition System
(2018-06-19T09:42:05Z) MUHAMMED, NISAMUDHEEN; MUTHUMARIYAPPAN, U; SUMANTH, S; YOGEESH G, KONNUR
The project is about a real time Hand Gesture Recognition and feature extraction using a web camera. • In this approach, the image is captured through webcam. • Image from the webcam is preprocessed and threshold is used to remove noise from image and smoothen the image. • When the preprocessing is complete the image is passed on to feature extraction phase. • The extracted features are normalized and matched with the training dataset features using KNN (K-nearest neighbor) algorithm (Euclidean distance).

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