Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Social Networking Sites (SNSs) are web-based facilities that allow for social interaction, sharing, communication and collaboration in today's world. In the current study, patterns of use of social media among students at a public Midwestern university are examined. In addition, students were surveyed regarding concerns for privacy and trust and whether concerns differed by gender, ethnicity, employment and relationship status. The survey data gathered from students suggest that students mostly used SNSs from less than one hour to about 3 hours a day and for communication and maintaining relationships. Students also had academic uses for SNSs. Even though concerns for privacy and trust exist, they did not differ by gender, employment and relationship status and students are still willing to use SNSs. The findings from this research have implications for various stakeholders especially instructors who may be considering the use of SNS for academic purposes.

Department of Database Systems

School of Computer Science and Engineering

Vellore Campus

VIT Unitversity

Indian Journal of Science and Technology

Effective Health Promotion Interventions for Targeted Audience using Social Networking Sites: A Systematic Review

2017 Second International Conference on Recent Trends and Challenges in Computational Models (ICRTCCM)

Cognitive Agents for Web Based Search Engines: A Review

In a network of autonomous systems (ASes), prefix reachability can be affected by events such as link and node failures, router misconfiguration, route flaps and prefix hijack attacks. Furthermore, with the increase in global organizations deploying their data centres and content services in other countries that have good networking infrastructures, studying prefix reachability is of significance. Since detecting these events at the end user level is challenging, by monitoring the spatially distributed routing table features, such as AS path distributions and spatial prefix reachability distributions, the events can be detected at the control plane level. In this work, a measure and a method to detect long term events at a country level AS topology are proposed. To understand the occurrence of control plane level events, temporal pattern analysis over the distributed peer prefix announcements of a country-level AS topology was conducted. Five Asian countries are considered as a representative set to study the occurrence of events. To capture and measure the spatially occurring events in a single temporal pattern, we proposed a counting-based measure using prefixes announced by x % of n spatially distributed peers. Our method to detect events employs mean change point detection technique with normal and CUSUM test statistics over the proposed measure. Other statistical techniques such as regression estimation and K-means clustering are used in our method to quantify the impact and duration of long-term control plane events. The detected events are validated using average path pattern correlation and Fisher scores of different path length features. We also validated the events using the SEA-Me-We4 cable cut event manifestations. The comparison results with other event detection techniques demonstrate the efficacy of the mean change point technique with normal assumption used in our method.

World University root node

IAENG International Journal of Computer Science

Country-wide long-term event detection and classification mechanisms using spatiotemporal BGP prefix data

At present, Internet emerges as a country’s predominant and viable data communication infrastructure. Autonomous System (AS) topology occupies the top position in the Internet infrastructure hierarchy. AS resources are building blocks of this topology, and consist of AS numbers, IPv4 and IPv6 prefixes. Further, the resource requirement in each country is dynamic and driven by various technical and socio-economic factors. Hence, the organizational and national competitiveness for socio economic development is reflected in AS growth pattern. Furthermore, to assess the competitiveness, future expansion, and policy development, there is a need for both study and forecast AS growth. For Internet infrastructure development, understanding long term trends and stochastic variation behaviour are essential to detecting significant events during growth periods. In this work, we use time series based approximation for mathematical modeling, system identification, and forecasting to determine the annual AS growth. The AS data of five countries, namely India, China, Japan, South Korea, and Taiwan were extracted from the APNIC (Asia Pacific Network Information Centre) archive for this purpose. The first two countries have larger economies and the next three countries are advanced technological nations in the APNIC region. The characterization of the time series is performed by analyzing the trend and fluctuation component of the data. The model identification is carried out by testing for non stationarity and autocorrelation significance. ARIMA (Auto Regressive Integrated Moving Average) models with different Auto Regressive (AR) and Moving Average (MA) parameters are identified for forecasting the AS growth of each country. Model validation, parameter estimation, point forecast, and prediction intervals with 95 % confidence levels for the five countries are reported in the paper. The statistical analysis on long term trends and Change Point Detection (CPD) on Inter Annual Absolute Variations (IAAV) are presented. The significant level of change in variations, positive growth percentage in IAAV, and higher percentage of advertised ASes when compared to other countries indicate India’s fast growth and wider global reachability of Internet infrastructure from 2007 onwards. The correlation between AS IAAV change points and GDP (gross domestic product) growth periods indicates that the service sector industry growth is the driving force behind significant annual changes. © International Association of Engineers.

Engineering Letters

Forecasting and event detection in internet resource dynamics using time series models

IPv6 networks are at present under vast deployment in production networks as well as in the Internet. Tasks such as resource reservation, capacity planning, and effective security deployments necessitate the understanding of IPv6 flow behavior in the nodes as well as in the network. To accomplish the understanding of IPv6 flow behavior, a tool that generates application and attack flows based on sound mathematical models is essential. Since different flows have different characteristics, the model parameters for a particular flow feature are to be assigned with appropriate values. In our tool, we have identified five flow features for characterizing the flows. They are, namely, inter departure time (IDT), packet size (PS), flow count (FC), flow volume (FV), and flow duration (FD). Random sampling from distributions such as Exponential, Pareto, Poisson, Cauchy, Gamma, Student, Wei-bull, and Log Normal are considered. IPv6 TCP and UDP packets are constructed and transmitted for the flows according to the feature values received from the assumed distribution model. The direct model parameter specification and trace-based model parameter learning are incorporated in our tool. Using our tool, we have analyzed the node behavior for IDT feature over different hardware platforms to IPv6 flows. We have presented the IDT analysis and modeled the bit rate using a three parameter function from the experimental measurements. The parameters estimated for different platforms to this model are also reported. © Springer India 2014.

Advances in Intelligent Systems and Computing

Inter departure time analysis over heterogeneous platforms using distributed IPv6 traffic generator tool

Network virtualization has received considerable attention by the network research community in the past few years as a means of overcoming the "Internet ossification" problem. It provides a smooth deployment path for new architectures and allows multiple virtual networks to co-exist on the same substrate network by sharing the substrate network resources. One of the main challenges in network virtualization is the efficient allocation of substrate network resources to the virtual networks, a problem known as Virtual Network Embedding(VNE). A number of algorithms for VNE exist in the literature. In this paper, we propose VNEMX, a test-bed for comparing and evaluating VNE algorithms. We demonstrate the viability of using MPLS along with Xen to create a test-bed on which virtual networks can be deployed and tested. We also evaluate the proposed architecture for the test-bed using metrics such as virtual network creation time, transmission capability of the virtual links, isolation between flows and cpu utilization. Â© 2012 Springer-Verlag.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

VNEMX: Virtual Network Embedding Test-Bed Using MPLS and Xen

IPv6 communication protocol vulnerabilities are common security threats in Next Generation Networks. Distributed Denial of Service (DDoS) attacks generated by exploiting these vulnerabilities have performance impact on both victim as well as on other hosts sharing the communication path. Hence in order to protect the computational and bandwidth resources of the shared path, the anomalies caused by these attacks are to be detected and the attack traffic should be filtered out from the network elements. Under the context of flow state maintenance not deployed in the network elements, the bandwidth characterization of the attack traffic is essential to deploy the filtering rules in the equipments. In this work we have considered the network bandwidth characterization of a highly critical DDoS attack in the network: the distributed reflector attack through spoofed IPv6 flows. The generated spoofed IPv6 traffic from the attacker (slaves), the reflector attack traffic caused by the responses from the reflector and the victim, and the end-to-end path bandwidth characteristics of these flows over a 6to4 tunnel are reported in terms of flow rates and per flow packet count. The flow rate pattern of the spoofed flows is modeled at the attacker side using inter departure time and packet size. The impact of network scale factor on the flow rate pattern over the path is studied and reported. We also have quantified the reflector attack flow rate in the presence of the scale factor and multiple spoofed flow sources. © 2011 IEEE.

Proceedings - Conference on Local Computer Networks, LCN

A study on path behavior characteristics of IPv6 based reflector attacks

IPSec provides security solutions to various network based web applications through its protocol suite. Implementing IPSec in the network layer includes significant bandwidth and processing time overhead to application traffic. The upper layer protocols such as TCP and UDP behavior on network traffic is also influenced by these overheads. In our work, we have studied the impact of IPSec on the metrics: Number of Transactions, Transmission Time, Round Trip Time, Average Burst Size and Available Bandwidth for IPv4 and IPv6 network traffic. Authentication algorithm: Hashed Message Authentication Code - Message Digest 5(HMAC-MD5), encryption algorithm: Advanced Encryption Standard(AES) and compression algorithm deflate are considered for Authentication Header(AH), Encapsulated Security Payload(ESP) and IP Compression(IPComp) protocols of IPSec. Using the characterized metrics, computed overheads and user behavior on web page requests, we have analyzed the performance impact of IPSec on web application servers. © 2006 IEEE.