Department of Computer Science and Information Systems: Recent submissions

  • Realization of flexible and scalable VANETs through SDN and virtualization 
    Haribabu, K; Bhatia, Ashutosh (IEEE, 2018)
    Vehicular Ad-hoc NETworks (VANETs) are being considered as one of the enabling technologies to avoid road accidents by allowing the vehicles to share the traffic-related information among themselves. Additionally, the ...
  • A Lightweight ARQ Scheme to Minimize Communication Overhead 
    Haribabu, K (IEEE, 2019)
    Due to limited buffer space available at routers, the packets in the Internet gets lost or dropped, especially when the network is congested. Automatic repeat request (ARQ), is an error-control method that uses acknowledgments ...
  • OpenSnap: Collection of Globally Consistent Statistics in Software Defined Network 
    Haribabu, K; Bhatia, Ashutosh (IEEE, 2019)
    Capturing and monitoring the global state of the network in a software defined network (SDN) is crucial for efficient routing, performance monitoring, Quality of Service (QoS) assurance, etc. The two major existing approaches ...
  • A Framework to Achieve Full Waypoint Enforcement in Hybrid SDN Networks 
    Haribabu, K; Bhatia, Ashutosh (Springer, 2019)
    Software Defined Networking (SDN) addresses the operational challenges faced in maintaining legacy networks by decoupling the data plane and control plane. Overhauling of the network to replace legacy switches with SDN ...
  • Analysis and Performance Evaluation of Different Methods to Achieve Way-Point Enforcement in Hybrid SDN 
    Haribabu, K; Bhatia, Ashutosh (Springer, 2020-03)
    Software Defined Networking (SDN) is a new paradigm that gives central control over distributed SDN-enabled switches. SDN is begin adapted very rapidly to gain the advantages of centralized programmable control over the ...
  • An Efficient Method to Collect Statistics in SDN Using Curvature Based Sampling 
    Haribabu, K; Bhatia, Ashutosh (IEEE, 2021)
    Network management involves measurements and control. Software Defined Networking (SDN) provides a higher level of control on network devices. In SDN, the controller can poll the statistics at different granularity with a ...
  • Replication Based Fault Tolerance Approach for Cloud 
    Haribabu, K (Springer, 2022-01)
    The usage of cloud computing has been increasing everyday and in almost every organization. It is now an integral part of the information technology market. And this rapidly growing need gives rise to consider two main ...
  • 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; Bhatia, Ashutosh (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; Tiwari, Kamlesh; Bhatia, Ashutosh (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; Bhatia, Ashutosh (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 ...
  • FAID: Feature Aftermath for Irony Discernment 
    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 ...

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