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20082025
most citedMachine Learning Based Intrusion Detection Systems for IoT Applications

411 citations

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12 papers · 1 filter

cs.CR2025★ 9 cited

Secure Resource Management in Cloud Computing: Challenges, Strategies and Meta-Analysis

Deepika Saxena, Smruti Rekha Swain, Jatinder Kumar +4

Secure resource management (SRM) within a cloud computing environment is a critical yet infrequently studied research topic. This paper provides a comprehensive survey and comparat…

cs.CR2024★ 33 cited

FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments

Kishu Gupta, Deepika Saxena, Rishabh Gupta +2

Cloud computing is flourishing at a rapid pace. Significant consequences related to data security appear as a malicious user may get unauthorized access to sensitive data which may…

cs.CR2024★ 39 cited

An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management

Kishu Gupta, Deepika Saxena, Pooja Rani +4

Digital healthcare is essential to facilitate consumers to access and disseminate their medical data easily for enhanced medical care services. However, the significant concern wit…

cs.CR2023★ 56 cited

An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity

Deepika Saxena, Ishu Gupta, Rishabh Gupta +2

Cloud virtualization technology, ingrained with physical resource sharing, prompts cybersecurity threats on users' virtual machines (VM)s due to the presence of inevitable vulnerab…

cs.CR2023★ 411 cited

Machine Learning Based Intrusion Detection Systems for IoT Applications

Abhishek Verma, Virender Ranga

Internet of Things (IoT) and its applications are the most popular research areas at present. The characteristics of IoT on one side make it easily applicable to real-life applicat…

cs.CR2023★ 39 cited

CoSec-RPL: detection of copycat attacks in RPL based 6LoWPANs using outlier analysis

Abhishek Verma, Virender Ranga

The IPv6 routing protocol for low-power and lossy networks (RPL) is the standard routing protocol for IPv6 based low-power wireless personal area networks (6LoWPANs). In RPL protoc…

cs.CR2022★ 69 cited

A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment

Ashutosh Kumar Singh, Rishabh Gupta

A large amount of data and applications need to be shared with various parties and stakeholders in the cloud environment for storage, computation, and data utilization. Since a thi…

cs.CR2022★ 63 cited

A Differential Approach for Data and Classification Service based Privacy-Preserving Machine Learning Model in Cloud Environment

Rishabh Gupta, Ashutosh Kumar Singh

The massive upsurge in computational and storage has driven the local data and machine learning applications to the cloud environment. The owners may not fully trust the cloud envi…

cs.CR2021★ 4 cited

A Discussion and Comparative Study on Security and Privacy of Smart Meter Data

Jatinder Kumar, Ashutosh Kumar Singh

Cloud computing comes with a lot of advanced features along with privacy and security problem. Smart meter data takes the benefit of cloud computing in the smart grid. User's priva…

cs.CR2021★ 9 cited

Data Security and Privacy in Cloud Computing: Concepts and Emerging Trends

Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh

Millions of users across the world leverages data processing and sharing benefits from cloud environment. Data security and privacy are inevitable requirement of cloud environment.…

cs.CR2020★ 3 cited

Proactive DDoS Attack Mitigation in Cloud-Fog Environment using Moving Target Defense

Vaishali Kansal, Mayank Dave

Distributed Denial of Service (DDoS) attacks are serious cyber attacks and mitigating DDoS attacks in cloud is a topic of ongoing research interest which remains a major security c…

cs.CR2013★ 13 cited

Replay Attack Prevention in Kerberos Authentication Protocol Using Triple Password

Gagan Dua, Nitin Gautam, Dharmendar Sharma +1

Replay attack and password attacks are serious issues in the Kerberos authentication protocol. Many ideas have been proposed to prevent these attacks but they increase complexity o…