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A literature survey on detecting compromised accounts on social networks

Online social networks, such as Facebook, Twitter have become one of the main media to stay in touch with the rest of the world. Over time, social network users build a trust relationship with the account they follow. Unfortunately, when control over an account falls into hands of a cybercriminal, he can easily exploit this trust to further his own malicious agenda. Moreover, the effect of an account compromise can extend well beyond the reputation of a company. This paper presents COMPA, which is designed to detect compromised accounts on online social networks. COMPA is based on a simple observation, social network users develop habit overtime and those habits are fairly stable. Compromised accounts on the online social network are detected with the help of behavioral profile of user and messages sent by him or her. Every time a new post or a message is generated, it is compared to this behavioral profile. If the message significantly deviates from the learned behavioral profile, COMPA flags it as compa. We implemented our approach in a tool called COMPA and evaluated for Twitter and Facebook in this paper. We show that our system is capable of building meaningful behavioral profiles for individual accounts and detect it and send message notification to admin, who is able to block it.

Published by: Vinod Khanapure, Amruta Ayachit, Pooja Gujanatti, Reshma Gajappanavar, Anusha Ashok Shettar

Author: Vinod Khanapure

Paper ID: V4I3-1481

Paper Status: published

Published: May 25, 2018

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Dissertations

Vehicle security using Raspberry-Pi

Recently every individual person preferring to use own vehicle for transportation rather than public transportation because of flexibility in schedule. Thefts are happening on parking and sometimes driving insecurity places like highways. Hence the security and safety become a basic necessity for the urban population and also everyone. In recent days vehicle security and accident prevention are more challenging. The proposed system gives an alarm which represents vehicle tracking and accident detection when theft and accident identifying. Raspberry-pi is the heart of the system, which is connected to any moving vehicle, these make an easy option to track any moving vehicle for that it matters in real time on Google-maps. An alert will be received to the authorized person, the vehicle will be moved to stop mode through the GSM-GPRS connected to the raspberry-pi kit which is kept on inside of the vehicle. Which consist of rasp-pi-camera, sensors, and android phone. The camera is used to take pictures when the vehicle is open or closed mode. This system helps find-out the exact location of an accident with the server and sent the information to an authorized person, give an alarm signal to save the human life. This system also detects the behavior of the driver through the sensors whether he/she drowsy/drunk, the speed vehicle is stopped. This system more securable reliable and economical.  

Published by: Pavithra .M, S. Jyothi

Author: Pavithra .M

Paper ID: V4I3-1569

Paper Status: published

Published: May 24, 2018

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Research Paper

Characteristic behaviour of crush glass fibers on the strength of concrete tile

The effect of glass fiber on flexural strength, split-tensile strength, and compressive strength was studied for different fiber content on M-20 grade concrete designed as per IS 10262. The maximum size of aggregates used was 20mm. To study the effect on compressive strength, flexural strength, split-tensile strength 6 cubes, 6 prisms and 6 cylinders were cast and tested. After that, a practical application of GFRC in the form of cement concrete tiles was taken into consideration and no special technique was used to produce these tiles. The thickness of the tiles was 20mm and maximum size of aggregates used was 8mm. The water-cement ratio was kept consistent and the admixture content was varied from 0.8 to 1.5 percent to maintain slump in between 50mm to 100mm. The size of short fibers Used was 30mm and the glass fibers were alkali resistant. The effect of these short fibers on wet Transverse strength, compressive strength, and water absorption was carried out. Six full-sized Tiles 400mm*400mm*20mm were tested and the results recorded. Pulse velocity tests were also conducted

Published by: Anil Hans, Nitin Thakur

Author: Anil Hans

Paper ID: V4I3-1561

Paper Status: published

Published: May 24, 2018

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Research Paper

Impact of knowledge sharing on the success of crisis management strategy

The aim of the research is to identify the impact of knowledge sharing on the success of crisis management strategy. The knowledge sharing was discussed through implicit and explicit knowledge. A conceptual model was presented to clarify the causal relationships between the variables, and the relationship was tested by calculating correlation coefficients and regression coefficients. The relationship of significant and high impact to the knowledge sharing in the crisis management strategy, and the declaration of implicit knowledge, as well as the distribution of explicit knowledge within the organization, enables it to build an effective crisis management strategy.

Published by: Ameera Hatif Haddawee

Author: Ameera Hatif Haddawee

Paper ID: V4I3-1555

Paper Status: published

Published: May 24, 2018

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Research Paper

A method of data hiding in QR code using image steganography

As the day to day analysis, we need to keep our data safe so that our private data is safe. It can be applied through steganography. Also, we do add the QR code for the purpose of increasing the security and ease to access the information which is been sent. Steganography is being used with AES algorithm and LSB steganography. QR code is used to enhance the security.  

Published by: Daphney Jerly Dsouza, Girish S

Author: Daphney Jerly Dsouza

Paper ID: V4I3-1553

Paper Status: published

Published: May 24, 2018

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Research Paper

Removal of ammonical nitrogen from industrial effluent

Ammonia removal from wastewater has become a worldwide emerging concern as ammonia proves to be toxic to aquatic species and also causes eutrophication in the natural water environment. Nitrogen compounds in our effluent have been removed by means of biological approaches(micro-organisms). Based on the microbial nitrogen cycle many biological technologies and processes have been developed and implemented for nitrogen removal from wastewater, such as de-nitrification, nitrification and by the use of biological species. However, with the effluent discharge standards have become more stringent (<10mg total nitrogen/L), conventional processes cannot meet the new requirements. We have removed the amount of nitrogen with the help of bacteria such as Nitrosomonas, Nitrospira. The limit of discharging nitrogen is 50ppm into the rivers. So by using these bacteria, our aim will be fulfilled.

Published by: Prexa Chhasatiya, Mansi Patel, Shubhi Sharma, Shailesh Vekariya, Ajaz Shaikh, Anjali S Nair

Author: Prexa Chhasatiya

Paper ID: V4I3-1499

Paper Status: published

Published: May 24, 2018

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