Department of Computer Science and Information Systems: Recent submissions

  • Monitoring Jitter in Software Defined Networks 
    Haribabu, K (Springer, 2022-03)
    End-to-end jitter of a flow is an important metric that indicates the Quality of Service a user is experiencing, particularly for real-time applications such as video streaming, cloud gaming, and so on. Monitoring the ...
  • Fault Tolerance in Cloud: A Brief Survey 
    Haribabu, K (Springer, 2022-03)
    The Cloud computing environment has seen tremendous growth in terms of enterprises migrating to the cloud. The Cloud computing environment has been characterized by its support to multi-tenancy as well as rapid elasticity. ...
  • Decision Tree Based IoT Attack Detection in Programmable Data Plane Using P4 Language 
    Haribabu, K (Springer, 2022-03)
    The Internet of Things (IoT) is a massively growing domain. With this the threats are also growing. Software Defined Networking (SDNs) is an emerging architecture which separates the control plane and the data plane of a ...
  • GAUR: a method to detect Sybil groups in peer-to-peer overlays 
    Haribabu, K (Inder Science, 2012)
    Sybil attack is an important problem as the peer-to-peer networks grow in size and become prominent means for distributing multimedia. In order to validate the feasibility of using psychometric tests as an approach to ...
  • A survey: Hybrid SDN 
    Haribabu, K (Elsevier, 2017-12)
    A full deployment of Software Defined Networking (SDN) paradigm poses multi-dimensional challenges viz., technical, financial and business challenges. Technical challenges of scalability, fault tolerance, centralization ...
  • GlobeSnap: An Efficient Globally Consistent Statistics Collection for Software-Defined Networks 
    Haribabu, K (Springer, 2021-05)
    Software defined networking (SDN) controller requires crucial statistics like flow-wise statistics from the switches to make decisions related to routing, load balancing, and QoS provisioning. These statistics, when viewed ...
  • A survey on analyzing encrypted network traffic of mobile devices 
    Haribabu, K (Springer, 2022-02)
    Over the years, use of smartphones has come to dominate several areas, improving our lives, offering us convenience, and reshaping our daily work circumstances. Beyond traditional use for communication, they are used for ...
  • qMon: A method to monitor queueing delay in OpenFlow networks 
    Haribabu, K (IEEE, 2022-08)
    In software-defined networking (SDN), the decoupled architecture provides opportunities for efficiently measuring critical quality of service (QoS) parameters, such as delay. Existing approaches, to dynamically obtain ...
  • Thin Servers for the Internet of Things 
    Sharma, Yashvardhan (SSRN, 2019-03)
    The Internet of Things involves a lot of server/gateway solutions, specifically for home automation. A specific Constrained Application Protocol has been developed by the IETF to provide for machine-to-machine communication ...
  • Thin Servers for the Internet of Things 
    Sharma, Yashvardhan (IEEE, 2019-03)
    This paper deals with the impediment of identifying sarcasm in social media text which can be used to improve sentiment analysis technique. After thorough analysis, some features were identified which could help in recognition ...
  • FAID: Feature Aftermath for Irony Discernment 
    Sharma, Yashvardhan (IEEE, 2019)
    This paper deals with the impediment of identifying sarcasm in social media text which can be used to improve sentiment analysis technique. After thorough analysis, some features were identified which could help in recognition ...
  • Deep Learning Approaches for Question Answering System 
    Sharma, Yashvardhan (Elsevier, 2018)
    Question Answering (QA) System is very useful as most of the deep learning related problems can be modeled as a question answering problem. Consequently, the field is one of the most researched fields in computer science ...
  • Encoder-Decoder Architectures for Generating Questions 
    Sharma, Yashvardhan (Elsevier, 2018)
    With exploding textual data on the internet with e-books, legal documents and products information, it is an opportunity to harness it for applications which can aid human tasks. Developing systems for question generation ...
  • Composite Sequential Modeling for Identifying Fake Reviews 
    Sharma, Yashvardhan (De Gruyter, 2018-04)
    This paper presents a comprehensive analysis and comparison of various proposed sequential models based on different deep networks such as the convolutional neural network, long short-term memory, and recurrent neural ...
  • Neural Network-Based Architecture for Sentiment Analysis in Indian Languages 
    Sharma, Yashvardhan (De Gruyter, 2018-06)
    Sentiment analysis refers to determining the polarity of the opinions represented by text. The paper proposes an approach to determine the sentiments of tweets in one of the Indian languages (Hindi, Bengali, and Tamil). ...
  • Bits_Pilani@INLI-FIRE-2017:Indian Native Language Identification using Deep Learning 
    Sharma, Yashvardhan (CEUR, 2017)
    The task of Native Language Identification involves identifying the prior or first learnt language of a user based on his writing technique and/or analysis of speech and phonetics in second language. There is a surplus ...
  • Catchphrase Extraction from Legal Documents Using LSTM Networks 
    Sharma, Yashvardhan (CEUR, 2017-12)
    Legal texts usually have a complex structure and reading through them is a time-consuming and strenuous task. Hence it is essential to provide the legal practitioners a concise representation of the text. Catchphrases ...
  • BITS_PILANI@IMRiDis-FIRE 2017: Information Retrieval from Microblog during Disasters 
    Sharma, Yashvardhan (CEUR, 2017-12)
    Microblogging sites like Twitter are increasingly being used for aiding relief operations during disaster events. In such situations, identifying actionable information like needs and availabilities of various types of ...
  • Gender Identification in Russian Texts 
    Sharma, Yashvardhan (CEUR, 2017-12)
    The last few years have seen a massive research related to automatic retrieving of information from the text, mainly the information about its author (authorship profiling) like gender, age etc. The automatic extraction ...
  • Deep Paraphrase Detection in Indian Languages 
    Sharma, Yashvardhan (ACM Digital Library, 2017)
    This paper presents an approach to the problem of paraphrase identification in English and Indian languages using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). Traditional machine learning approaches ...

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