Publications

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Vivek, MR, Chandran P.  2022.  Analysis of subword based word representations case study: Fasttext Malayalam. 2022 IEEE 19th India Council International Conference (INDICON). :1–6.: IEEE Abstract
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Shabeera, TP, Chandran P, Kumar MSD.  2012.  Authenticated and persistent skip graph: a data structure for cloud based data-centric applications. Proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACI 2012). ACM( ISBN: 978-1-4503-1196-0):155-160.Website
Shabeera, TP, Chandran P, MadhuKumar SD.  2012.  Authenticated and persistent skip graph: a data structure for cloud based data-centric applications. Proceedings of the International Conference on Advances in Computing, Communications and Informatics. :155–160. Abstract
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Jose, X, MadhuKumar SD, Chandran P.  2021.  Characterization, classification and detection of fake news in online social media networks. 2021 IEEE Mysore Sub Section International Conference (MysuruCon). :759–765.: IEEE Abstract
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Shabeera, TP, MadhuKumar SD, Chandran P.  2016.  Curtailing job completion time in MapReduce clouds through improved Virtual Machine allocation. Computers & Electrical Engineering. :-. AbstractWebsite

Abstract Cloud-based MapReduce platforms offer ready to use MapReduce clusters. The problem of allocating Virtual Machines (VMs) carrying out the computation, for minimizing data transfer delay is a crucial one in this context, as the MapReduce tasks are communication intensive. The interaction between \{VMs\} may face varying delays, if the \{VMs\} are hosted in different Physical Machines (PMs). This work aims to optimize the data transfer delay between VMs, which is denoted by the distance between the VMs. We propose an approximation algorithm for \{VM\} allocation in data centers wherein the distances between \{VMs\} satisfy triangular inequality and an optimization algorithm for \{VM\} allocation in data centers where the distances between \{VMs\} do not satisfy triangular inequality. Simulations on CloudSim demonstrate the performance of our algorithms and the results affirm the reduction in job completion time compared to other allocation schemes.

Shabeera, TP, MadhuKumar SD, Chandran P.  2017.  Curtailing job completion time in MapReduce clouds through improved Virtual Machine allocation. Computers & Electrical Engineering. 58:190–202.: Pergamon Abstract
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Jithin, R, Chandran P.  2016.  Dynamic partitioning of physical memory among virtual machines: ASMI: Architectural support for memory isolation. Proceedings of the 31st Annual ACM Symposium on Applied Computing. :474–476. Abstract
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Jithin, R, Chandran P.  2016.  Dynamic partitioning of physical memory among virtual machines: {ASMI:} architectural support for memory isolation. Proceedings of the 31st Annual {ACM} Symposium on Applied Computing, Pisa, Italy, April 4-8, 2016. :474–476. Abstract
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Lee, OT, Porwal R, MadhuKumar SD, Chandran P.  2018.  ECSim-2: A Performance Evaluator for Erasure Code based Storage Systems. 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC). :496–501.: IEEE Abstract
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Lee, OT, MadhuKumar SD, Chandran P.  2016.  ECSim: A simulation tool for performance evaluation of erasure coded storage systems. Advances in Computing, Communications and Informatics (ICACCI), 2016 International Conference on. :2713–2718.: IEEE Abstract

Simulation environments provide a comprehensive set of advantages to users, like cost effectiveness and capability to understand the shortcomings of the system under design, without physical implementation. Simulation platforms help the industry and academia, to document and publish their research outputs in a timely and cost efficient manner. The ECSim tool presented here, is meant for academic use in the initial stages of research. The platform provides an environment where the performance of erasure coded storage systems can be tested without much effort. The main highlight of the simulator is that it provides a very simple environment which can run on a standalone system. The environment does not require the user to be a programmer, since it provides an interactive command line interface to the user. The ability to simulate data center, clusters, master nodes, storage nodes with computing power, storage devices, bandwidth usage and disk I/O involved are notable features of ECSim.

Lee, OT, MadhuKumar SD, Chandran P.  2016.  Ecsim: A simulation tool for performance evaluation of erasure coded storage systems. 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI). :2713–2718.: IEEE Abstract
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Jaisooraj, J, MadhuKumar SD, Chandran P.  2025.  Energy-Efficient Routing in Low Power and Lossy Networks Under Hybrid Mode RPL. 2025 IEEE Region 10 Symposium (TENSYMP). :1–6.: IEEE Abstract
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Sandhya, P, Chandran P.  2023.  Enhancement in IoT through Custom Instruction Set Architectures and TinyML. 2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3). :1–6.: IEEE Abstract
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Lee, OT, MadhuKumar SD, Chandran P.  2016.  Erasure coded storage systems for cloud storage—challenges and opportunities. 2016 International Conference on Data Science and Engineering (ICDSE). :1–7.: IEEE Abstract
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Shoundic, S, Chandran P, Krishna P, Reddy V, Jayachandra B, Pande L.  2016.  Extended-HyperWall: Hardware support for rollback secure virtualization, September. 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI). , Jaipur, India Abstract

"Virtualization is a vital part of computing today. Rollback is an important feature to be supported by virtualization. However, hackers leverage rollback and pose serious security threats to systems running in a virtualized environment. The aim of this paper is to identify such security threats and propose a comprehensive solution. In this paper, we propose Extended-HyperWall architecture as a solution to security of Virtual Machines (VMs) in a fully virtualized environment. Extended-HyperWall architecture is an integration of HyperWall with Rollback Sensitive Data Memory with Architecture Assistance (RSDM-A). HyperWall is a system that proposes hardware support to ensure confidentiality and integrity of a VM's data, with an assumption that hypervisor cannot be trusted. RSDM-A is an architectural support to a virtualized system that separates rollback sensitive data from rollback non-sensitive data which is one of the major causes of threats that arises due to rollback. Extended-HyperWall integrates CIP-table (Confidentiality and Integrity Table to ensure confidentiality and integrity of data) and RSDM-table (Rollback Sensitive Data Memory to protect the system from rollback attacks). The paper illustrates the design of Extended-HyperWall, and its implementation on the Xen Hypervisor kernel for testing and analysis."

Shoundic, S, Chandran P, Krishna P, Reddy V, Jayachandra B, Pande L.  2016.  Extended-HyperWall: Hardware support for rollback secure virtualization. 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI). :1674–1681.: IEEE Abstract
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Joy, SP, Chandran P.  2010.  A formal framework for comparing group key agreement protocols with partial forward secrecy. The 4 th IEEE International Conference on Internet Multimedia Systems Architecture and Application, (IMSAA 10). , Bangalore, India: IEEEWebsite
Joy, SP, Chandran P.  2010.  A formal framework for comparing group key agreement protocols with partial forward secrecy. 2010 IEEE 4th International Conference on Internet Multimedia Services Architecture and Application. :1–6.: IEEE Abstract
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Joy, SP, Chandran P.  2019.  A formal framework for verifying IKA property of protocols. Journal of King Saud University-Computer and Information Sciences. 31:318–326., Number 3: Elsevier Abstract
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Joy, SP, Chandran P.  2017.  A formal framework for verifying İKA\} property of protocols. Journal of King Saud University - Computer and Information Sciences. :-. AbstractWebsite

Abstract A group key agreement (GKA) protocol generates a secret key (session key) shared among the members of the group, from the contributions made by group members. \{GKA\} protocols are expected to satisfy the property of Implicit Key Authentication (IKA) which assures group members that the key generated by the protocol is not accessible to any member outside the group. In this article, we propose a technique to prove the correctness of \{GKA\} protocols with respect to IKA. We establish the soundness of our proposal and also illustrate its application. Normally İKA\} property of protocols is established by proving that the protocol satisfies authentication of participants and secrecy of the session keys. Most formal models would be able to analyze a \{GKA\} protocol with respect to IKA, using the above approach. However analysis of two security properties, namely authentication and secrecy, would increase the chances of errors. We propose a single condition for verifying whether the \{GKA\} protocol satisfies IKA.

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Faisal, A, Chandran P.  2021.  GLDraw: A Platform for Graph Visualization. 2021 6th International Conference for Convergence in Technology (I2CT). :1–6.: IEEE Abstract
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Devasia, JV, Chandran P.  2019.  Graph pruning based approach for inferring disease causing genes and associated pathways. International Journal of Bioinformatics Research and Applications. 15:359–370., Number 4: Inderscience Publishers (IEL) Abstract
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