Rakesh Kumar

16 papers Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep learning approaches to address cold start and long tail challenges in recommendation systems: a systematic review.
Multim. Tools Appl.
Manisha Jangid, Rakesh Kumar
2025 J jnl
Dual attention-based CNN-LSTM framework for session-based recommendations.
Evol. Syst.
Manisha Jangid, Rakesh Kumar
2025 J jnl
Energy Efficient Resource Sharing in Trustworthy Federated Cloud Environment: A Bayesian Game and Double Auction Based Approach.
IEEE Trans. Serv. Comput.
Sandeep Singh Sikarwar, Rakesh Kumar, Benay Kumar Ray
2025 J jnl
Enhancing user experience: a content-based recommendation approach for addressing cold start in music recommendation.
J. Intell. Inf. Syst.
Manisha Jangid, Rakesh Kumar
2025 J jnl
Multi-attribute based double auction for virtual machine trading in federated cloud environment.
Clust. Comput.
Sandeep Singh Sikarwar, Rakesh Kumar, Benay Kumar Ray
2023 J jnl
EVACON-Rainsnow Computing: An Amalgamation of Cloud and Its Inherited Computing to Encourage End User for Both Localized and Globalized Remote Computing.
Wirel. Pers. Commun.
Santosh Kumar Yadav, Rakesh Kumar
2022 J jnl
Data dissemination approach using machine learning techniques for WBANs.
Concurr. Comput. Pract. Exp.
Roopali Punj, Rakesh Kumar
2022 J jnl
Scalable Profit Optimized Incentive Mechanism for Resources in Cloudlet Based Mobile Edge Computing Framework.
Wirel. Pers. Commun.
Santosh Kumar Yadav, Rakesh Kumar
2021 J jnl
A survey on analysis and detection of Android ransomware.
Concurr. Comput. Pract. Exp.
Shweta Sharma, Rakesh Kumar, C. Rama Krishna
2021 J jnl
An ensemble-based supervised machine learning framework for android ransomware detection.
Int. Arab J. Inf. Technol.
Shweta Sharma, Rama Krishna Challa, Rakesh Kumar
2021 J jnl
RansomDroid: Forensic analysis and detection of Android Ransomware using unsupervised machine learning technique.
Digit. Investig.
Shweta Sharma, C. Rama Krishna, Rakesh Kumar
2020 — conf
Android Ransomware Detection using Machine Learning Techniques: A Comparative Analysis on GPU and CPU.
ACIT
Shweta Sharma, C. Rama Krishna, Rakesh Kumar
2020 J jnl
Energy Efficient Dynamic Cluster Head and Routing Path Selection Strategy for WBANs.
Wirel. Pers. Commun.
Roopali Punj, Rakesh Kumar
2020 J jnl
The Paradox of Choice: Investigating Selection Strategies for Android Malware Datasets Using a Machine-learning Approach.
Commun. Assoc. Inf. Syst.
Shweta Sharma, Naveen Kumar, Rakesh Kumar, C. Rama Krishna
2019 J jnl
Technological aspects of WBANs for health monitoring: a comprehensive review.
Wirel. Networks
Roopali Punj, Rakesh Kumar
2017 — conf
CHS-GA: An Approach for Cluster Head Selection Using Genetic Algorithm for WBANs.
REV
Roopali Punj, Rakesh Kumar
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling