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ORCIDAbhishek Verma
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j27]Abhishek Verma
, Sachin Kumar Verma, Avinash Chandra Pandey, Jyoti Grover, Girish Sharma:
Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT. Future Gener. Comput. Syst. 159: 327-339 (2024)- [c62]Yuan Xing, Dongfang Hou, Jason Liu, Holly Yuan, Abhishek Verma, Wei Shi:
Deep Learning and Game Theory for AI-Enabled Human-Robot Collaboration System Design in Industry 4.0. CCWC 2024: 8-13 - [i14]Girish Sharma, Jyoti Grover, Abhishek Verma:
A Lightweight Security Solution for Mitigation of Hatchetman Attack in RPL-based 6LoWPAN. CoRR abs/2404.01689 (2024) - [i13]Abhishek Verma, Sachin Kumar Verma, Avinash Chandra Pandey, Jyoti Grover, Girish Sharma:
Li-MSD: A lightweight mitigation solution for DAO insider attack in RPL-based IoT. CoRR abs/2409.10020 (2024) - 2023
- [j26]Girish Sharma, Jyoti Grover, Abhishek Verma:
QSec-RPL: Detection of version number attacks in RPL based mobile IoT using Q-Learning. Ad Hoc Networks 142: 103118 (2023) - [j25]Girish Sharma, Jyoti Grover, Abhishek Verma:
Performance evaluation of mobile RPL-based IoT networks under version number attack. Comput. Commun. 197: 12-22 (2023) - [j24]Shefali Goel, Abhishek Verma, Vinod Kumar Jain:
CRA-RPL: A Novel Lightweight challenge-Response authentication-based technique for securing RPL against dropped DAO attacks. Comput. Secur. 132: 103346 (2023) - [j23]Abhishek Verma, Yong-Hong Kuo, M. Manoj Kumar, Saurabh Pratap, Velvet Chen:
A data analytic-based logistics modelling framework for E-commerce enterprise. Enterp. Inf. Syst. 17(6) (2023) - [j22]Akram Zine Eddine Boukhamla, Abhishek Verma:
HyDroid: android malware detection using network flow combined with permissions and intent filter. Int. J. Mob. Commun. 22(1): 70-91 (2023) - [j21]Rakesh Kumar Yadav, Abhishek, Abhishek Verma, Prashant Shukla, Katyayani Verma, Shekhar Verma:
Low-rank GAT: toward robust quantification of neighborhood influence. Neural Comput. Appl. 35(5): 3925-3936 (2023) - [c61]Girish Sharma, Jyoti Grover, Abhishek Verma:
A Lightweight Security Solution for Mitigation of Hatchetman Attack in RPL-based 6LoWPAN. ANTS 2023: 750-755 - [c60]Mrunal Prakash Gavali, Abhishek Verma:
Automatic Recognition of Emotions in Speech With Large Self-Supervised Learning Transformer Models. AIBThings 2023: 1-7 - [c59]Chary Vielma, Abhishek Verma, Doina Bein:
Sentiment Analysis with Novel GRU based Deep Learning Networks. AIIoT 2023: 440-446 - [c58]Yuan Xing, Abhishek Verma:
Optimize Path Planning for Drone-based Wireless Power Transfer System by Categorized Reinforcement Learning. CCWC 2023: 641-646 - [c57]Harshit Gupta, Abhishek Verma, O. P. Vyas, Marco Garofalo, Giuseppe Tricomi, Francesco Longo, Giovanni Merlino, Antonio Puliafito:
Empirical Analysis of Federated Learning Algorithms: A Federated Research Infrastructure Use Case. CLOSER 2023: 324-331 - [c56]Shefali Goel, Abhishek Verma, Vinod Kumar Jain:
A Lightweight Mitigation Approach for Addressing DDAO Attacks in RPL-based Internet of Things. IC3 2023: 580-586 - [c55]Anil Kumar Prajapati, Emmanuel S. Pilli, Ramesh Babu Battula, Abhishek Verma:
A Defense Solution to Secure Low-Power and Lossy Networks Against DAO Insider Attacks. TENCON 2023: 261-266 - [i12]Abhishek Verma, Virender Ranga:
CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis. CoRR abs/2302.12443 (2023) - [i11]Abhishek Verma, Virender Ranga:
Machine Learning Based Intrusion Detection Systems for IoT Applications. CoRR abs/2302.12452 (2023) - [i10]Sachin Kumar Verma, Abhishek Verma, Avinash Chandra Pandey:
Addressing DAO Insider Attacks in IPv6-Based Low-Power and Lossy Networks. CoRR abs/2303.00260 (2023) - [i9]Abhishek Verma, Virender Ranga:
Security of RPL Based 6LoWPAN Networks in the Internet of Things: A Review. CoRR abs/2303.00265 (2023) - [i8]Abhishek Verma, Virender Ranga:
The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things. CoRR abs/2303.00273 (2023) - 2022
- [j20]Anurag Shukla, Deepak Singh, Mohit Sajwan, Abhishek Verma, Ajit Kumar:
A source location privacy preservation scheme in WSN-assisted IoT network by randomized ring and confounding transmission. Wirel. Networks 28(2): 827-852 (2022) - [c54]Abhimanyu Ghosh, Abhishek Verma:
Implementing Collaborative Online International Learning (COIL) in Regular Engineering Coursework. FIE 2022: 1-9 - [c53]Abhishek Verma, Akhilesh Singh, Anurag Chauhan, Arun Kumar Rana:
Wireless Sensor Network Using IOT Security: Architecture, Challenges and Proposed Model. IC3I 2022: 438-443 - [c52]Oguzhan Akan, Abhishek Verma:
Machine Learning Models for Customer Churn Risk Prediction. UEMCON 2022: 623-628 - 2021
- [j19]Piyush Singh, Abhishek Verma, John Sahaya Rani Alex:
Disease and pest infection detection in coconut tree through deep learning techniques. Comput. Electron. Agric. 182: 105986 (2021) - [j18]Abhishek Verma, Virender Ranga:
The impact of copycat attack on RPL based 6LoWPAN networks in Internet of Things. Computing 103(7): 1479-1500 (2021) - [c51]Joel Varma Dirisam, Doina Bein, Abhishek Verma:
Predictive Analytics of Donors in crowdfunding platforms: A case study on Donorschoose.org. CCWC 2021: 834-838 - [c50]Abhimanyu Ghosh, Abhishek Verma:
Thematic analysis of reflective peer feedback in programming-heavy engineering courses. FIE 2021: 1-9 - 2020
- [j17]Abhishek Verma, Virender Ranga:
Mitigation of DIS flooding attacks in RPL-based 6LoWPAN networks. Trans. Emerg. Telecommun. Technol. 31(2) (2020) - [j16]Jithin Eapen, Abhishek Verma, Doina Bein:
Improved big data stock index prediction using deep learning with CNN and GRU. Int. J. Big Data Intell. 7(4): 202-210 (2020) - [j15]Yukhe Lavinia, Holly H. Vo, Abhishek Verma:
New colour fusion deep learning model for large-scale action recognition. Int. J. Comput. Vis. Robotics 10(1): 41-60 (2020) - [j14]Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma:
Large-scale scene image categorisation with deep learning-based model. Int. J. Comput. Vis. Robotics 10(3): 185-201 (2020) - [j13]Prashant Shukla, Abhishek Verma, Abhishek, Shekhar Verma, Manish Kumar:
Interpreting SVM for medical images using Quadtree. Multim. Tools Appl. 79(39-40): 29353-29373 (2020) - [j12]Abhishek Verma, Virender Ranga:
CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis. Telecommun. Syst. 75(1): 43-61 (2020) - [j11]Abhishek Verma, Virender Ranga:
Machine Learning Based Intrusion Detection Systems for IoT Applications. Wirel. Pers. Commun. 111(4): 2287-2310 (2020) - [c49]Sneha Bharti, Suruchi Sharma, Abhishek Verma, Manisha Bharti, Baljit Kaur:
Performance analysis of Pocket Doped Junction-Less TFET. ISDCS 2020: 1-4 - [c48]Abhishek Verma, Suruchi Sharma, Sneha Bharti, Manisha Bharti, Baljit Kaur:
Design of Tunnel Junction Engineered Dopingless TFET for Low power Applications. ISDCS 2020: 1-6 - [c47]Abhishek Verma, Virender Ranga:
Addressing Copycat Attacks in IPv6-Based Low Power and Lossy Networks. SAI (2) 2020: 415-426
2010 – 2019
- 2019
- [j10]Krantiraditya Dhalmahapatra, Rohan Shingade, Harshawardhan Mahajan, Abhishek Verma, Jhareswar Maiti:
Decision support system for safety improvement: An approach using multiple correspondence analysis, t-SNE algorithm and K-means clustering. Comput. Ind. Eng. 128: 277-289 (2019) - [j9]Abhishek Verma, Virender Ranga:
Evaluation of Network Intrusion Detection Systems for RPL Based 6LoWPAN Networks in IoT. Wirel. Pers. Commun. 108(3): 1571-1594 (2019) - [c46]Jithin Eapen, Doina Bein, Abhishek Verma:
Novel Deep Learning Model with CNN and Bi-Directional LSTM for Improved Stock Market Index Prediction. CCWC 2019: 264-270 - [c45]Anoop Jeerige, Doina Bein, Abhishek Verma:
Comparison of Deep Reinforcement Learning Approaches for Intelligent Game Playing. CCWC 2019: 366-371 - [c44]Abhishek Verma, Vanshika Mittal, Suma Dawn:
FIND: Fake Information and News Detections using Deep Learning. IC3 2019: 1-7 - [c43]Abhishek Verma, Piyush Singh, John Sahaya Rani Alex:
Modified Convolutional Neural Network Architecture Analysis for Facial Emotion Recognition. IWSSIP 2019: 169-173 - [c42]Abhishek Verma, Virender Ranga:
Addressing Flooding Attacks in IPv6-based Low Power and Lossy Networks. TENCON 2019: 552-557 - [c41]Resham Jhangiani, Doina Bein, Abhishek Verma:
Machine Learning Pipeline for Fraud Detection and Prevention in E-Commerce Transactions. UEMCON 2019: 135-140 - [c40]Paul K. Mandal, Abhishek Verma:
Novel Hash-Based Radix Sorting Algorithm. UEMCON 2019: 149-153 - [i7]Monika Sharma, Abhishek Verma, Lovekesh Vig:
Learning to Clean: A GAN Perspective. CoRR abs/1901.11382 (2019) - [i6]Vivek Kumar, Brojo Kishore Mishra, Manuel Mazzara, Dang N. H. Thanh, Abhishek Verma:
Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications. CoRR abs/1902.03825 (2019) - [i5]Hussein A. Al-Barazanchi, Hussam Qassim, David Feinzimer, Abhishek Verma:
Residual-CNDS for Grand Challenge Scene Dataset. CoRR abs/1902.10030 (2019) - 2018
- [j8]Hussein A. Al-Barazanchi, Abhishek Verma, X. Shawn Wang:
Intelligent plankton image classification with deep learning. Int. J. Comput. Vis. Robotics 8(6): 561-571 (2018) - [c39]Monika Sharma, Abhishek Verma, Lovekesh Vig:
Learning to Clean: A GAN Perspective. ACCV Workshops 2018: 174-185 - [c38]Hussam Qassim, Abhishek Verma, David Feinzimer:
Compressed residual-VGG16 CNN model for big data places image recognition. CCWC 2018: 169-175 - [c37]Vivek Kumar, Roman Zinovyev, Abhishek Verma, Prayag Tiwari:
Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis. RICE 2018: 1-6 - [c36]Vivek Kumar, Roman Zinovyev, Abhishek Verma, Prayag Tiwari:
Performance Evaluation of Lazy and Decision Tree Classifier: A Data Mining Approach for Global Celebrity's Death Analysis. RICE 2018: 1-6 - [c35]Phillip Ly, Doina Bein, Abhishek Verma:
New Compact Deep Learning Model for Skin Cancer Recognition. UEMCON 2018: 255-261 - 2017
- [j7]Bérénice Mettler, Abhishek Verma, Andrew Feit:
Emergent patterns in agent-environment interactions and their roles in supporting agile spatial skills. Annu. Rev. Control. 44: 252-273 (2017) - [c34]Venkata Sindhoor Preetham Patnam, Feba Thankachan George, Kiran George, Abhishek Verma:
Deep Learning Based Recognition of Meltdown in Autistic Kids. ICHI 2017: 391-396 - [c33]Sinam Ajitkumar Singh, Abhishek Verma, Shuvam Chhetry, Swanirbhar Majumder:
Abnormality analysis of pcg signal using vmd and mlp neural network. ISED 2017: 1-5 - [c32]Abhishek Verma, Hussam Qassim, David Feinzimer:
Residual squeeze CNDS deep learning CNN model for very large scale places image recognition. UEMCON 2017: 463-469 - [c31]Alec Yenter, Abhishek Verma:
Deep CNN-LSTM with combined kernels from multiple branches for IMDb review sentiment analysis. UEMCON 2017: 540-546 - [c30]Abhishek Verma, Yu Liu:
Hybrid deep learning ensemble model for improved large-scale car recognition. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-7 - [i4]Hussam Qassim, David Feinzimer, Abhishek Verma:
Residual Squeeze VGG16. CoRR abs/1705.03004 (2017) - [i3]Hussam Qassim, David Feinzimer, Abhishek Verma:
The Compressed Model of Residual CNDS. CoRR abs/1706.06419 (2017) - [i2]Abhishek Verma, Bérénice Mettler:
Human Learning of Unknown Environments in Agile Guidance Tasks. CoRR abs/1710.07757 (2017) - 2016
- [c29]Abhishek Verma, Deeshant Rajput, Jhareswar Maiti:
Prioritization of Near-Miss Incidents Using Text Mining and Bayesian Network. ICACDS 2016: 183-191 - [c28]Holly H. Vo, Abhishek Verma:
Discriminant color texture descriptors for diabetic retinopathy recognition. ICCP 2016: 309-315 - [c27]Rekha Singhal, Abhishek Verma:
Predicting Job Completion Time in Heterogeneous MapReduce Environments. IPDPS Workshops 2016: 17-27 - [c26]Holly H. Vo, Abhishek Verma:
New Deep Neural Nets for Fine-Grained Diabetic Retinopathy Recognition on Hybrid Color Space. ISM 2016: 209-215 - [c25]Yukhe Lavinia, Holly H. Vo, Abhishek Verma:
Fusion Based Deep CNN for Improved Large-Scale Image Action Recognition. ISM 2016: 609-614 - [c24]Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma:
Novel CNN architecture with residual learning and deep supervision for large-scale scene image categorization. UEMCON 2016: 1-7 - [i1]Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma:
Residual CNDS. CoRR abs/1608.02201 (2016) - 2015
- [c23]Andrew Feit, Abhishek Verma, Bérénice Mettler:
A human-inspired subgoal-based approach to constrained optimal control. CDC 2015: 1289-1296 - [c22]Abhishek Verma, Luis Pedrosa, Madhukar Korupolu, David Oppenheimer, Eric Tune, John Wilkes:
Large-scale cluster management at Google with Borg. EuroSys 2015: 18:1-18:17 - [c21]Abhishek Verma, Andrew Feit, Bérénice Mettler:
Investigation of Human First-Person Guidance Strategy from Gaze Tracking Data. SMC 2015: 1066-1072 - 2014
- [j6]Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell:
Profiling and evaluating hardware choices for MapReduce environments: An application-aware approach. Perform. Evaluation 79: 328-344 (2014) - [c20]Abhishek Verma, Madhukar Korupolu, John Wilkes:
Evaluating job packing in warehouse-scale computing. CLUSTER 2014: 48-56 - 2013
- [j5]Abhishek Verma, Brian Cho, Nicolas Zea, Indranil Gupta, Roy H. Campbell:
Breaking the MapReduce stage barrier. Clust. Comput. 16(1): 191-206 (2013) - [j4]Zhuoyao Zhang, Ludmila Cherkasova, Abhishek Verma, Boon Thau Loo:
Performance Modeling and Optimization of Deadline-Driven Pig Programs. ACM Trans. Auton. Adapt. Syst. 8(3): 14:1-14:28 (2013) - [j3]Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell:
Orchestrating an Ensemble of MapReduce Jobs for Minimizing Their Makespan. IEEE Trans. Dependable Secur. Comput. 10(5): 314-327 (2013) - 2012
- [b1]Abhishek Verma:
Performance modeling framework for SLO-driven MapReduce environments. University of Illinois Urbana-Champaign, USA, 2012 - [j2]Abhishek Verma, Chengjun Liu, Jiancheng Kevin Jia:
Iris recognition based on robust iris segmentation and image enhancement. Int. J. Biom. 4(1): 56-76 (2012) - [c19]Zhuoyao Zhang, Ludmila Cherkasova, Abhishek Verma, Boon Thau Loo:
Optimizing Completion Time and Resource Provisioning of Pig Programs. CCGRID 2012: 811-816 - [c18]Zhuoyao Zhang, Ludmila Cherkasova, Abhishek Verma, Boon Thau Loo:
Meeting service level objectives of Pig programs. CloudCP@EuroSys 2012: 8:1-8:6 - [c17]Zhuoyao Zhang, Ludmila Cherkasova, Abhishek Verma, Boon Thau Loo:
Automated profiling and resource management of pig programs for meeting service level objectives. ICAC 2012: 53-62 - [c16]Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell:
Two Sides of a Coin: Optimizing the Schedule of MapReduce Jobs to Minimize Their Makespan and Improve Cluster Performance. MASCOTS 2012: 11-18 - [c15]Abhishek Verma, Ludmila Cherkasova, Vijay S. Kumar, Roy H. Campbell:
Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle. NOMS 2012: 900-905 - [p2]Sugata Banerji, Abhishek Verma, Chengjun Liu:
LBP and Color Descriptors for Image Classification. Cross Disciplinary Biometric Systems 2012: 205-225 - 2011
- [j1]Abhishek Verma, Chengjun Liu, Jiancheng Jia:
New colour SIFT descriptors for image classification with applications to biometrics. Int. J. Biom. 3(1): 56-75 (2011) - [c14]Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell:
Play It Again, SimMR! CLUSTER 2011: 253-261 - [c13]Alexander M. Merritt, Vishakha Gupta, Abhishek Verma, Ada Gavrilovska, Karsten Schwan:
Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies. VTDC@HPDC 2011: 3-10 - [c12]Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell:
ARIA: automatic resource inference and allocation for mapreduce environments. ICAC 2011: 235-244 - [c11]Sanjay K. Dhurandher, Ankit Aggarwal, Aashish Bhandari, Abhishek Verma, Mohammad S. Obaidat, Isaac Woungang:
Time Stamp-Based Algorithm for Task Scheduling in a Distributed Computing System with Multiple Master Multiple Slave Architecture. iThings/CPSCom 2011: 67-73 - [c10]Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell:
Resource Provisioning Framework for MapReduce Jobs with Performance Goals. Middleware 2011: 165-186 - [c9]Jagdish Chand Bansal, P. K. Singh, Mukesh Saraswat, Abhishek Verma, Shimpi Singh Jadon, Ajith Abraham:
Inertia Weight strategies in Particle Swarm Optimization. NaBIC 2011: 633-640 - [c8]Harish Sharma, Abhishek Verma, Jagdish Chand Bansal:
Group Social Learning in Artificial Bee Colony Optimization Algorithm. SocProS (1) 2011: 441-451 - [c7]Abhishek Verma, Chengjun Liu:
Novel EFM-KNN classifier and a new color descriptor for image classification. WOCC 2011: 1-6 - 2010
- [c6]Abhishek Verma, Xavier Llorà, Shivaram Venkataraman, David E. Goldberg, Roy H. Campbell:
Scaling eCGA model building via data-intensive computing. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c5]Abhishek Verma, Nicolas Zea, Brian Cho, Indranil Gupta, Roy H. Campbell:
Breaking the MapReduce Stage Barrier. CLUSTER 2010: 235-244 - [p1]Xavier Llorà, Abhishek Verma, Roy H. Campbell, David E. Goldberg:
When Huge Is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing. Parallel and Distributed Computational Intelligence 2010: 11-41
2000 – 2009
- 2009
- [c4]Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. Campbell:
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture. CLUSTER 2009: 1-10 - [c3]Abhishek Verma, Xavier Llorà, David E. Goldberg, Roy H. Campbell:
Scaling Genetic Algorithms Using MapReduce. ISDA 2009: 13-18 - 2005
- [c2]Rahul P. Akolkar, Tanveer A. Faruquie, Juan M. Huerta, Pankaj Kankar, Nitendra Rajput, T. V. Raman, Raghavendra Udupa, Abhishek Verma:
Reusable Dialog Component Framework for Rapid Voice Application Development. CBSE 2005: 306-321 - [c1]Tanveer A. Faruquie, Pankaj Kankar, Nitendra Rajput, Abhishek Verma:
An architecture for pluggable disambiguation mechanism for RDC based voice applications. INTERSPEECH 2005: 3409-3412
Coauthor Index
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