Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item A modified secure version of the Telegram protocol (MTProto)(Institute of Electrical and Electronics Engineers Inc., 2016) Job, J.; Naresh, V.; Chandrasekaran, K.The advent of mobile phones and the spread of the internet have caused a substantial increase in the utilization of these technologies for personal communication. A wide range of mobile applications exist, most of which use their own proprietary protocol. Reports of snooping attacks have prompted the parent organizations and users to guarantee that the encrypted data sent over a public network is decrypted only by the intended recipient. Smart phone operating systems provide GPS data to these applications so that users can tag photos with this information. As these applications mostly run a daemon or service in the background to automatically receive messages, an unattended switched on location service coupled with a weak protocol leaves the user highly vulnerable of being tracked by eavesdroppers. These applications are known to, by observing their behaviour, upload the user's contact list to the server so as identify those contacts using the same application. These are but just two important data that need to be protected by tough security measures during transit. Any loop hole in security protocols will leave the user vulnerable to attacks, even outside the digital world. Online chat protocols such as the Telegram protocol ensure end-to-end security of data. Although the protocol itself has been explained in much detail by the designers, this protocol is disfavored because of its performance drawbacks and its susceptibility to man-in-the-middle attacks. In this paper, we modify the Telegram protocol in an attempt to make it more efficient and secure. © 2015 IEEE.Item Influence of news on individual confidence bias in stock markets(Association for Computing Machinery acmhelp@acm.org, 2016) Mukund, Y.R.; Naresh, V.; Patil, S.; Chandrasekaran, K.; Vijaya, V.; Gnanamurthy, R.K.The Phenomenon of stock markets is a complex one and is something which, has attracted researchers and statisticians for a long time. Complex statistics have long dominated this field where the prediction models are usually stochastic. The advent of machine learning gave us a new way of looking at the problem. Much work has been done in analyzing the stock market to predict the stock index of a particular or-ganization. However, most of the work done is based on the previous stock data and other statistical parameters. Our work, uses data such as the online news articles about a particular company and aims to help a trader conclude the market sentiment towards that company through sentiment analysis. The online raw data is obtained through crawling and is indexed, weighted and subject to sentiment analysis to output the final sentiment of the market. It is found that the Naive-Bayesian Classifier is the more suitable op-tion among the Decision Tree and Random Forests for the task of sentiment analysis. The Final Sentiment Factor ar-rived at, is found to reect the real time market sentiment quite accurately. It is also shown that the sentiment factor can be used as an input to a more complex analysis model. This new model, performs better than the existing models.Item Realistic golf flight simulation(Institute of Electrical and Electronics Engineers Inc., 2016) Sumukha, R.M.; Koolagudi, S.G.; Naresh, V.; Afroz, F.; Reddy, Y.N.A.The motion of the projectile is an easily observable phenomenon. The knowledge of the behavior of projectiles has been used extensively in warfare, since many centuries. From cannons to present day GPS-guided missiles, all rely on the principles of projectile motion. Apart from missiles, a flying golf ball is an interesting subject to study projectiles. The actual flight path can be simulated on a digital computer with computer graphics. In a natural setting, the golf ball's motion is dependent on various environmental factors. In this paper, apart from the initial velocity and angle of launch, resistance due to air and cross wind effects will also be considered. At the end of the projectile's flight, the landing will be simulated using bouncing ball physics. The theory for the object's motion will be utilized and then it will be adapted for simulation. The position and the configuration of the object and environmental conditions are taken as variables while modelling its flight. © 2016 IEEE.