Dr Nagender Aneja

Dr Nagender Aneja

Asst. Prof. Digital Science and Founder ResearchID.co

Publications

Collaborative adversary nodes learning on the logs of IoT devices in an IoT network

Published in 14th International Conference on COMmunication Systems & NETworkS (COMSNETS 2022), 2021

The network traffic of IoT devices can be analyzed using AI techniques. The Adversary Learning (AdLIoTLog) model is proposed using Recurrent Neural Network (RNN) with attention mechanism on sequences of network events in the network traffic.

Recommended citation: Sandhya Aneja, Melanie Ang Xuan En, Nagender Aneja, "Collaborative adversary nodes learning on the logs of IoT devices in an IoT network", 14th International Conference on COMmunication Systems & NETworkS (COMSNETS 2022). https://arxiv.org/abs/2112.12546. https://arxiv.org/abs/2112.12546

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

Published in arXiv, 2021

In this paper, we present NL-Augmenter, a new participatory Python-based natural language augmentation framework which supports the creation of both transformations (modifications to the data) and filters (data splits according to specific features).

Recommended citation: Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicolas Roberts, Juan Diego Rodriguez, Claude Roux, Vasconcellos P. H. S., Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib N. Shamsi, Xudong Shen, Haoyue Shi, Yiwen Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni , Taylor Sorensen, William Soto, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T, A Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Gloria Wang, Zijie J. Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmański, Tianbao Xie, Usama Yaseen, M. Yee, Jing Zhang, Yue Zhang, "NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation", https://arxiv.org/abs/2112.02721. https://arxiv.org/abs/2112.02721

Systematic Patent Review of Nanoparticles in Drug Delivery and Cancer Therapy in the Last Decade

Published in Recent Advances in Drug Delivery and Formulation, 2021

The main objective of the patent review is to survey and review patents from the past ten years that are related to the two particular areas of nanomedicines.

Recommended citation: Ali Hazis Umairah Nur, Aneja Nagender, Rajabalaya Rajan, David Rani Sheba, "Systematic Patent Review of Nanoparticles in Drug Delivery and Cancer Therapy in the Last Decade", Recent Advances in Drug Delivery and Formulation 2021; 15(1). https://doi.org/10.2174/1872211314666210521105534. https://www.eurekaselect.com/193475

Device Fingerprinting using Deep Convolutional Neural Networks

Published in International Journal of Communication Networks and Distributed Systems, 2021

In this work, the idea is to define a device-specific unique fingerprint by analysing solely inter-arrival time of packets as a feature to identify a device.

Recommended citation: Sandhya Aneja, Nagender Aneja, Bharat K. Bhargava, Rajarshi Roy Chowdhury, "Device Fingerprinting using Deep Convolutional Neural Networks", International Journal of Communication Networks and Distributed Systems. https://doi.org/10.1504/IJCNDS.2022.10041894. https://doi.org/10.1504/IJCNDS.2022.10041894

Packet-level and IEEE 802.11 MAC frame-level network traffic traces data of the D-Link IoT devices

Published in Data in Brief, 2021

This paper presents network traffic traces data of D-Link IoT devices from packet and frame levels.

Recommended citation: Rajarshi Roy Chowdhury, Sandhya Aneja, Nagender Aneja, and Pg Emeroylariffion Abas (2021). " Packet-level and IEEE 802.11 MAC frame-level network traffic traces data of the D-Link IoT devices." Data in Brief, Volume 37, Aug 2021, 107208, ISSN 2352-3409, doi: 10.1109/IOTAIS.2018.8600824. https://www.sciencedirect.com/science/article/pii/S2352340921004923

Detecting Fake News with Machine Learning

Published in International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR), 2021

This paper provides algorithm to detect Fake News and in particular the paper proposes most important language features that can determine if the news content is fake or real.

Recommended citation: Aneja N., Aneja S. (2021) Detecting Fake News with Machine Learning. Conference Proceedings of ICDLAIR2019. ICDLAIR 2019. Lecture Notes in Networks and Systems, vol 175. Springer, Cham. https://doi.org/10.1007/978-3-030-67187-7_7 https://link.springer.com/chapter/10.1007/978-3-030-67187-7_7

Recent Advances in Ad-Hoc Social Networking: Key Techniques and Future Research Directions

Published in Wireless Personal Communications, 2020

This paper presents survey and future directions in four areas of establishing ad-hoc social network using mobile ad-hoc social network (MANET) that includes architecture or implementation features, Profile Management of users, Similarity Metric, and Routing Protocols. The survey presents the need to provide social applications over MANET, optimizing profile matching algorithms of users, and context aware routing protocols.

Recommended citation: Aneja, N., Gambhir, S. Recent Advances in Ad-Hoc Social Networking: Key Techniques and Future Research Directions. Wireless Pers Commun (2020). https://doi.org/10.1007/s11277-020-07942-7 https://link.springer.com/article/10.1007/s11277-020-07942-7

Network Traffic Analysis based IoT Device Identification

Published in 4th International Conference on Big Data and Internet of Things, BDIOT 2020, Singapore, 2020

TCP/IP packet header features to fingerprint a device for device identification based on its communication pattern.

Recommended citation: Chowdhury R., Aneja S., Aneja N., and Abas E. Network Traffic Analysis based IoT Device Identification. In Proceedings of the 2020 the 4th International Conference on Big Data and Internet of Things (BDIOT 2020). Association for Computing Machinery, New York, NY, USA, 79–89. DOI:https://doi.org/10.1145/3421537.3421545 https://dl.acm.org/doi/abs/10.1145/3421537.3421545

Neural Machine Translation model for University Email Application

Published in International Conference on Natural Language Processing (ICNLP 2020), 2020

A regional vocabulary-based application-oriented Neural Machine Translation (NMT) model is proposed over the data set of emails.

Recommended citation: Sandhya Aneja, Siti Nur Afikah Bte Abdul Mazid, Nagender Aneja, Neural Machine Translation model for University Email Application, International Conference on Natural Language Processing (ICNLP 2020), July 11-13, 2020, https://arxiv.org/abs/2007.16011 https://arxiv.org/abs/2007.16011

Transfer Learning using CNN for Handwritten Devanagari Character Recognition

Published in IEEE International Conference on Advances in Information Technology (ICAIT), 2019

This paper presents an analysis of pre-trained models to recognize handwritten Devanagari alphabets using transfer learning for Deep Convolution Neural Network (DCNN).

Recommended citation: N. Aneja and S. Aneja, "Transfer Learning using CNN for Handwritten Devanagari Character Recognition," 2019 1st International Conference on Advances in Information Technology (ICAIT), Chikmagalur, India, 2019, pp. 293-296, c. https://ieeexplore.ieee.org/document/8987286

Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases

Published in Towards Causal, Explainable and Universal Medical Visual Diagnosis, CVPR Workshop, 2019

The proposed model trained with a semi-supervised learning approach by using pseudo labels on PCam-level significantly leads to better performances to strong CNN baseline on the AUC metric.

Recommended citation: Jaiswal, A. K., Panshin, I., Shulkin, D., Aneja, N., & Abramov, S. (2019). " Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases." arXiv preprint arXiv:1906.09587. https://s1155026040.github.io/mvd-2019-cvpr-workshop/

IoT Device Fingerprint using Deep Learning

Published in IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), 2018

This work proposes identifying IoT devices based on Inter-Arrival-Time of Packets and improves efficiency to identify a device by feeding 100 IATs in the form of a graph to CNN

Recommended citation: S. Aneja, N. Aneja and M. S. Islam (2018). " IoT Device Fingerprint using Deep Learning." IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), Bali, 2018, pp. 174-179, doi: 10.1109/IOTAIS.2018.8600824. https://ieeexplore.ieee.org/abstract/document/8600824

Options and Challenges in Providing Universal Access

Published in IEEE, 2018

The white paper presents obstacles and challenges towards achieving universal Internet access.

Recommended citation: Prasad Mantri, Mohammed Aledhari, Helen Anne Hicks, Rajesh Nighot, Nagender Aneja, Sukanya Mandal, Ali Kashif Bashir, Jay Wack, Jared Bielby, "Options and Challenges in Providing Universal Access", IEEE Internet Technology Policy Community White Paper https://internetinitiative.ieee.org/images/files/resources/white_papers/OPTIONS-AND-CHALLENGES-IN-PROVIDING-UNIVERSAL-ACCESS-v180418.pdf

Piecewise Maximal Similarity for Ad-hoc Social Networks

Published in Wireless Personal Communications, 2017

The paper proposes Piecewise Maximal Similarity metric to match users profiles. The proposed metric is more effective to measure similarity than cosine similarity based on computations on real data.

Recommended citation: Gambhir, S., Aneja, N. and De Silva, L.C. Piecewise Maximal Similarity for Ad-hoc Social Networks. Wireless Pers Commun 97, 3519–3529 (2017). https://doi.org/10.1007/s11277-017-4683-4 https://link.springer.com/article/10.1007/s11277-017-4683-4

Social Profile Aware AODV Protocol for Ad-Hoc Social Networks

Published in Wireless Personal Communications, 2017

The paper proposes contextual social profile aware routing protocol that allows users to use social networking applications using social routing protocol.

Recommended citation: Aneja, N., Gambhir, S. Social Profile Aware AODV Protocol for Ad-Hoc Social Networks. Wireless Pers Commun 97, 4161–4182 (2017). https://doi.org/10.1007/s11277-017-4718-x https://link.springer.com/article/10.1007%2Fs11277-017-4718-x

Security and Privacy: Challenges and Defending Solutions for NoSQL Data Stores

Published in NoSQL Database for Storage and Retrieval of Data in Cloud, 2017

The chapter discusses security of traditional database systems using an example of PostgreSQL database system. It explains RBAC and its variations with an example of PostgreSQL and describes the basic RBAC model in context of MongoDB.

Recommended citation: Aneja S, Aneja N. "Security and Privacy: Challenges and Defending Solutions for NoSQL Data Stores", book chapter in NoSQL Database for Storage and Retrieval of Data in Cloud, 237-250., Taylor & Francis Group, CRC Press 2017, Print ISBN: 978-1-4987-8436-8, eBook ISBN: 978-1-4987-8437-5 https://www.taylorfrancis.com/books/e/9781315155579/chapters/10.1201/9781315155579-13

Protecting Internet Traffic: Security Challenges and Solutions

Published in IEEE, 2017

The white paper presents a set of well investigated internet traffic security guidelines and best practices which others can use as a basis for future standards, certifications, laws, policies and/or product ratings.

Recommended citation: Mohammed Aledhari, Sukanya Mandal, Nagender Aneja, Mikael Dautrey, Rajesh Nighot, Prasad Mantri, Jared Bielby, "Protecting Internet Traffic: Security Challenges and Solutions", IEEE Internet Technology Policy Community White Paper https://internetinitiative.ieee.org/images/files/resources/white_papers/protecting_internet_traffic_may_2017.pdf

Internet of Things (IOT) Security Best Practices

Published in IEEE, 2017

The purpose of this paper is to present a set of well-investigated Internet of Things (IoT) security guidelines and best practices that others can use as a basis for future standards, certifications, laws, policies and/or product ratings.

Recommended citation: Glenn A. Fink, Mohammed Aledhari, Jared Bielby, Rajesh Nighot, Sukanya Mandal, Nagender Aneja, Chris Hrivnak, Lucian Cristache, "Internet of Things (IOT) Security Best Practices" IEEE Internet Technology Policy Community White Paper https://internetinitiative.ieee.org/images/files/resources/white_papers/internet_of_things_may_2017.pdf

Middleware Architecture for Ad-hoc Social Network

Published in Wireless Personal Communications, 2016

The paper presents middleware architecture for Ad-hoc Social Network that provides software developers a platform for developing mobile apps that enable social connections. The proposed architecture is a software suite that includes an application layer, transport layer, ad-hoc social layer and ad-hoc communication layer.

Recommended citation: Aneja, N., and Gambhir, S. (2016), "Middleware Architecture for Ad-hoc Social Network" Research Journal of Applied Sciences, Engineering and Technology https://maxwellsci.com/jp/mspabstract.php?jid=RJASET&doi=rjaset.13.3342

Software design for social profile matching algorithm to create ad-hoc social network on top of Android

Published in 3rd International Conference on Computing for Sustainable Global Development (INDIACom), 2016

This paper proposes software design and implementation of profile matching algorithm to create ad-hoc social network on top of Android.

Recommended citation: S. Gambhir, S. Mangla and N. Aneja, "Software design for social profile matching algorithm to create ad-hoc social network on top of Android," 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, 2016, pp. 3450-3454. https://ieeexplore.ieee.org/document/7724906

Need of ad-hoc social network based on users dynamic interests

Published in International Conference on Soft Computing Techniques and Implementations (ICSCTI), 2015

This paper presents survey results for need of ad-hoc social network. Results indicate that users prefer 75 percent of average profile similarity to connect nearby users.

Recommended citation: S. Gambhir, N. Aneja and S. Mangla, "Need of ad-hoc social network based on users dynamic interests," 2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI), Faridabad, 2015, pp. 52-56, doi: 10.1109/ICSCTI.2015.7489562. https://ieeexplore.ieee.org/document/7489562

Geo-Social Semantic Profile Matching Algorithm for Dynamic Interests in Ad-hoc Social Network

Published in IEEE International Conference on Computational Intelligence & Communication Technology, 2015

This paper provides an algorithm to semantically match users profiles based on geographic location and dynamic interests.

Recommended citation: N. Aneja and S. Gambhir, "Geo-Social Semantic Profile Matching Algorithm for Dynamic Interests in Ad-hoc Social Network," 2015 IEEE International Conference on Computational Intelligence and Communication Technology, Ghaziabad, 2015, pp. 354-358, doi: 10.1109/CICT.2015.50. https://ieeexplore.ieee.org/document/7078725

Geo-Social Profile Matching Algorithm for Dynamic Interests in Ad-Hoc Social Network

Published in Social Networking, 2014

The paper presents a profile-matching algorithm for automatically building a user profile based on dynamic GPS (Global Positing System) location and browsing history of users.

Recommended citation: Aneja, N. and Gambhir, S. (2014) Geo-Social Profile Matching Algorithm for Dynamic Interests in Ad-Hoc Social Network. Social Networking, 3, 240-247. doi: 10.4236/sn.2014.35029 https://scirp.org/journal/PaperInformation.aspx?PaperID=51108

Ad-hoc Social Network: A Comprehensive Survey

Published in International Journal of Scientific and Engineering Research, 2014

The paper presents research challenges in ad-hoc social network.

Recommended citation: Gambhir, S. and Aneja, N. (2013) International Journal of Scientific and Engineering Research, Vol 4, Issue 8, August 2013

Various Issues in Ad-hoc Social Networks ( ASN )

Published in National Conference on Recent Trends in Computer Science and Information Technology (RTCSIT), 2012, Echelon Institute of Technology, 2012

The paper presents research challenges in ad-hoc social network.

Recommended citation: Aneja, N. and Gambhir, S. (2012) "Various Issues in Ad-hoc Social Networks", National Conference on Recent Trends in Computer Science and Information Technology (RTCSIT), 2012, Echelon Institute of Technology Faridabad Haryana India, 6-9

Minimum Exposed Path to the Attack (MEPA) in Mobile Ad Hoc Network (MANET)

Published in Sixth International Conference on Networking (ICN07), 2007

The paper presents algorithm to determine a path which is farthest from the endangered nodes in mobile ad-hoc social network.

Recommended citation: S. Khurana, N. Gupta and N. Aneja, "Minimum Exposed Path to the Attack (MEPA) in Mobile Ad Hoc Network (MANET)," Sixth International Conference on Networking (ICN07), Martinique, 2007, pp. 16-16, doi: 10.1109/ICN.2007.57. https://ieeexplore.ieee.org/document/4196209

Reliable Ad-hoc On-demand Distance Vector Routing Protocol

Published in International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL06), 2006

The paper presents a co-operative security scheme called Reliable Ad hoc On-demand Distance Vector (RAODV) routing protocol based on local monitoring has been proposed to solve the problem of attack by malicious node as well as selfish behavior

Recommended citation: S. Khurana, N. Gupta and N. Aneja, "Reliable Ad-hoc On-demand Distance Vector Routing Protocol," International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL06), Morne, Mauritius, 2006, pp. 98-98, doi: 10.1109/ICNICONSMCL.2006.183. https://ieeexplore.ieee.org/document/1628344