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Saptarshi Debroy - IEEE Xplore Author Profile
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Saptarshi Debroy

Publications
45
Citations
317
Publications by Year
20082025
Co-Authors:
Show All Co-Authors (62)
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Saptarshi Debroy

Affiliation

Department of Computer Science
City University of New York
New York, NY, US

Publication Topics

Biography

Saptarshi Debroy received his PhD degree in Computer Engineering from University of Central Florida in 2014, MTech degree from Jadavpur University, India in 2008, and BTech degree from West Bengal University of Technology, India in 2006. He is currently an Assistant Professor in the Department of Computer Science at City University of New York. His current research interests include cyber security, cloud computing, Internet of things, and wireless networks. He is a member of IEEE.(Based on document published on 22 June 2018).
Publications
45
Citations
317
Publications by Year
20082025
Co-Authors:
Show All Co-Authors (62)
Author's Published Works

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DeepRB: Deep Resource Broker Based on Clustered Federated Learning for Edge Video Analytics

Xiaojie Zhang;Saptarshi Debroy;Peng Wang;Keqin Li

IEEE Transactions on Network and Service Management
Year: 2025 | Early Access Article |
Edge computing plays a crucial role in large-scale and real-time video analytics for smart cities, particularly in environments with massive machine-type communications (mMTC) among IoT devices. Due to the dynamic nature of mMTC, one of the main challenges is to achieve energy-efficient resource allocation and service placement in resource-constrained edge computing environments. In this paper, we...Show More

DeepRB: Deep Resource Broker Based on Clustered Federated Learning for Edge Video Analytics

Xiaojie Zhang;Saptarshi Debroy;Peng Wang;Keqin Li

Year: 2025 | Early Access Article |

deepV:PPO-driven Task Latency Minimization in Volunteer-supported Edge Computing

Xiaojie Zhang;Saptarshi Debroy;Jiaqi Tong

2024 IEEE Smart World Congress (SWC)
Year: 2024 | Conference Paper |
Although the emergence of edge computing has greatly enhanced the efficiency of data processing and reduced latency by bringing computation closer to the data source, one significant drawback of edge computing is the lack of processing capabilities of centralized cloud servers. With the rapid development of Internet of Things (IoT) and Artificial Intelligence (AI) techniques, the computational dem...Show More

deepV:PPO-driven Task Latency Minimization in Volunteer-supported Edge Computing

Xiaojie Zhang;Saptarshi Debroy;Jiaqi Tong

Year: 2024 | Conference Paper |

Intent-Driven Data Falsification Attack on Collaborative IoT-Edge Environments

Shima Yousefi;Shameek Bhattacharjee;Saptarshi Debroy

2024 IEEE/ACM Symposium on Edge Computing (SEC)
Year: 2024 | Conference Paper |
Collaborative IoT-edge environments, although effective in hosting latency-sensitive applications, are fundamentally vulnerable to data falsification attacks that can potentially impact key system performance objectives. In this paper, we explore and propose an intent-driven energy data falsification attack model for collaborative IoT-edge environments and shed light on the attack's impact on syst...Show More

Intent-Driven Data Falsification Attack on Collaborative IoT-Edge Environments

Shima Yousefi;Shameek Bhattacharjee;Saptarshi Debroy

Year: 2024 | Conference Paper |

Poster: Reliable 3D Reconstruction for Ad-Hoc Edge Implementations

Md. Nurul Absur;Swastik Brahma;Saptarshi Debroy

2024 IEEE/ACM Symposium on Edge Computing (SEC)
Year: 2024 | Conference Paper |
Ad-hoc edge deployments to support real-time complex video processing applications such as, multi-view 3D reconstruction often suffer from spatio-temporal system disruptions that greatly impact reconstruction quality. In this poster paper, we present a novel portfolio theory-inspired edge resource management strategy to ensure reliable multi-view 3D reconstruction by accounting for possible system...Show More

Poster: Reliable 3D Reconstruction for Ad-Hoc Edge Implementations

Md. Nurul Absur;Swastik Brahma;Saptarshi Debroy

Year: 2024 | Conference Paper |

EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge

Motahare Mounesan;Xiaojie Zhang;Saptarshi Debroy

2024 20th International Conference on Network and Service Management (CNSM)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Balancing mutually diverging performance metrics, such as, processing latency, outcome accuracy, and end device energy consumption is a challenging undertaking for deep learning model inference in ad-hoc edge environments. In this paper, we propose EdgeRL framework that seeks to strike such balance by using an Advantage Actor-Critic (A2C) Reinforcement Learning (RL) approach that can choose optima...Show More

EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge

Motahare Mounesan;Xiaojie Zhang;Saptarshi Debroy

Year: 2024 | Conference Paper |

VECA: Reliable and Confidential Resource Clustering for Volunteer Edge-Cloud Computing

Hemanth Sai Yeddulapalli;Mauro Lemus Alarcon;Upasana Roy;Roshan Lal Neupane;Durbek Gafurov;Motahare Mounesan;Saptarshi Debroy;Prasad Calyam

2024 IEEE International Conference on Cloud Engineering (IC2E)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Volunteer Edge-Cloud (VEC) computing has a significant potential to support scientific workflows in user communities contributing volunteer edge nodes. However, managing heterogeneous and intermittent resources to support machine/deep learning (ML/DL) based workflows poses challenges in resource governance for reliability, and confidentiality for model/data privacy protection. There is a need for ...Show More

VECA: Reliable and Confidential Resource Clustering for Volunteer Edge-Cloud Computing

Hemanth Sai Yeddulapalli;Mauro Lemus Alarcon;Upasana Roy;Roshan Lal Neupane;Durbek Gafurov;Motahare Mounesan;Saptarshi Debroy;Prasad Calyam

Year: 2024 | Conference Paper |

Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud

Motahare Mounesan;Mauro Lemus;Hemanth Yeddulapalli;Prasad Calyam;Saptarshi Debroy

2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC)
Year: 2024 | Conference Paper |
Cited by: Papers (4)
In recent times, Volunteer Edge-Cloud (VEC) has gained traction as a cost-effective, community computing paradigm to support data-intensive scientific workflows. However, due to the highly distributed and heterogeneous nature of VEC resources, centralized workflow task scheduling remains a challenge. In this paper, we propose a Reinforcement Learning (RL)-driven data-intensive scientific workflow ...Show More

Reinforcement Learning-driven Data-intensive Workflow Scheduling for Volunteer Edge-Cloud

Motahare Mounesan;Mauro Lemus;Hemanth Yeddulapalli;Prasad Calyam;Saptarshi Debroy

Year: 2024 | Conference Paper |

EdgeURB: Edge-driven Unified Resource Broker for Real-time Video Analytics

Xiaojie Zhang;Amitangshu Pal;Saptarshi Debroy

NOMS 2024-2024 IEEE Network Operations and Management Symposium
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Real-time video analytics applications are one of the driving forces towards adoption of edge computing due to the latter’s ability to provide ‘near cloud-scale’ resources closer to the application site. However, striking a balance between system energy-efficiency and video quality satisfaction still remains a challenge. In this paper, we propose an edge-driven unified resource broker (URB) framew...Show More

EdgeURB: Edge-driven Unified Resource Broker for Real-time Video Analytics

Xiaojie Zhang;Amitangshu Pal;Saptarshi Debroy

Year: 2024 | Conference Paper |

On Balancing Latency and Quality of Edge-Native Multi-View 3D Reconstruction

Xiaojie Zhang;Houchao Gan;Amitangshu Pal;Soumyabrata Dey;Saptarshi Debroy

2023 IEEE/ACM Symposium on Edge Computing (SEC)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
Multi-view 3D reconstruction driven augmented, virtual, and mixed reality applications are becoming increasingly edge-native, due to factors such as, rapid reconstruction needs, security/privacy concerns, and lack of connectivity to cloud platforms. Managing edge-native 3D reconstruction, due to edge resource constraints and inherent dynamism of ‘in the wild’ 3D environments, involves striking a b...Show More

On Balancing Latency and Quality of Edge-Native Multi-View 3D Reconstruction

Xiaojie Zhang;Houchao Gan;Amitangshu Pal;Soumyabrata Dey;Saptarshi Debroy

Year: 2023 | Conference Paper |

EFFECT-DNN: Energy-efficient Edge Framework for Real-time DNN Inference

Xiaojie Zhang;Motahare Mounesan;Saptarshi Debroy

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
Year: 2023 | Conference Paper |
Cited by: Papers (10)
Real-time visual computing applications running Deep Neural Networks (DNN) are becoming popular for mission-critical use cases such as, disaster response, tactical scenarios, and medical triage that require establishing ad-hoc edge environments. However, strict latency deadlines of such applications require real-time processing of pre-trained DNN layers (i.e., DNN inference) involving image/video ...Show More

EFFECT-DNN: Energy-efficient Edge Framework for Real-time DNN Inference

Xiaojie Zhang;Motahare Mounesan;Saptarshi Debroy

Year: 2023 | Conference Paper |

End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response

Xiaojie Zhang;Mingjun Li;Andrew Hilton;Amitangshu Pal;Soumyabrata Dey;Saptarshi Debroy

2022 10th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)
Year: 2022 | Conference Paper |
Cited by: Papers (7)
In order to plan rapid response during disasters, first responder agencies often adopt ‘bring your own device’ (BYOD) model with inexpensive mobile edge devices (e.g., drones, robots, tablets) for complex video analytics applications, e.g., 3D reconstruction of a disaster scene. Unlike simpler video applications, widely used Multi-view Stereo (MVS) based 3D reconstruction applications (e.g., openM...Show More

End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response

Xiaojie Zhang;Mingjun Li;Andrew Hilton;Amitangshu Pal;Soumyabrata Dey;Saptarshi Debroy

Year: 2022 | Conference Paper |

DNN-based Denial of Quality of Service Attack on Software-defined Hybrid Edge-Cloud Systems

Minh Nguyen;Jacob Gately;Swati Kar;Soumyabrata Dey;Saptarshi Debroy

2022 IEEE 22nd Annual Wireless and Microwave Technology Conference (WAMICON)
Year: 2022 | Conference Paper |
In order to satisfy diverse quality-of-service (QoS) requirements of complex real-time video applications, civilian and tactical use cases are employing software-defined hybrid edgecloud systems. One of the primary QoS requirements of such applications is ultra-low end-to-end latency for video applications that necessitates rapid frame transfer between end-devices and edge servers using software-d...Show More

DNN-based Denial of Quality of Service Attack on Software-defined Hybrid Edge-Cloud Systems

Minh Nguyen;Jacob Gately;Swati Kar;Soumyabrata Dey;Saptarshi Debroy

Year: 2022 | Conference Paper |

EFFECT: Energy-efficient Fog Computing Framework for Real-time Video Processing

Xiaojie Zhang;Amitangshu Pal;Saptarshi Debroy

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
Year: 2021 | Conference Paper |
Cited by: Papers (13)
Energy efficient task offloading within a fog computing environment comprising of end-devices and edge servers remains a challenging problem to solve, especially for real-time video processing applications due to such tasks' strict latency deadline demands. In this paper we propose an Energy-efficient Fog Computing framework (EFFECT) for real-time applications within mission-critical use cases. Th...Show More

EFFECT: Energy-efficient Fog Computing Framework for Real-time Video Processing

Xiaojie Zhang;Amitangshu Pal;Saptarshi Debroy

Year: 2021 | Conference Paper |

Trust Model for Efficient Honest Broker based Healthcare Data Access and Processing

Mauro Lemus Alarcon;Minh Nguyen;Saptarshi Debroy;Naga Ramya Bhamidipati;Prasad Calyam;Abu Mosa

2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
With the increased push to promote data-driven methods in modern healthcare, there is a tremendous need for fast access to clinical datasets in order to pursue medical breakthroughs in the areas of personalized medicine and big data knowledge discovery. However, the inherent lack of trust between the data custodians and data consumers/users has resulted in a fully manual honest broker approach to ...Show More

Trust Model for Efficient Honest Broker based Healthcare Data Access and Processing

Mauro Lemus Alarcon;Minh Nguyen;Saptarshi Debroy;Naga Ramya Bhamidipati;Prasad Calyam;Abu Mosa

Year: 2021 | Conference Paper |

Multi-Cloud Performance and Security Driven Federated Workflow Management

Matthew Dickinson;Saptarshi Debroy;Prasad Calyam;Samaikya Valluripally;Yuanxun Zhang;Ronny Bazan Antequera;Trupti Joshi;Tommi White;Dong Xu

IEEE Transactions on Cloud Computing
Year: 2021 | Volume: 9, Issue: 1 | Journal Article |
Cited by: Papers (24)
Federated multi-cloud resource allocation for data-intensive application workflows is generally performed based on performance or quality of service (i.e., QSpecs) considerations. At the same time, end-to-end security requirements of these workflows across multiple domains are considered as an afterthought due to lack of standardized formalization methods. Consequently, diverse/heterogenous domain...Show More

Multi-Cloud Performance and Security Driven Federated Workflow Management

Matthew Dickinson;Saptarshi Debroy;Prasad Calyam;Samaikya Valluripally;Yuanxun Zhang;Ronny Bazan Antequera;Trupti Joshi;Tommi White;Dong Xu

Year: 2021 | Volume: 9, Issue: 1 | Journal Article |

Deep Reinforcement Learning Based Energy-efficient Task Offloading for Secondary Mobile Edge Systems

Xiaojie Zhang;Amitangshu Pal;Saptarshi Debroy

2020 IEEE 45th LCN Symposium on Emerging Topics in Networking (LCN Symposium)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
In order to support last-mile wireless connectivity of computation-intensive applications, edge systems can benefit from secondary (i.e., opportunistic) utilization of licensed spectrum. However, spectrum sensing for such secondary utilization can end up causing considerable energy consumption for already energy-constrained mobile devices. In this paper, we propose an energy-aware task offloading ...Show More

Deep Reinforcement Learning Based Energy-efficient Task Offloading for Secondary Mobile Edge Systems

Xiaojie Zhang;Amitangshu Pal;Saptarshi Debroy

Year: 2020 | Conference Paper |

Energy Efficient Task Offloading for Compute-intensive Mobile Edge Applications

Xiaojie Zhang;Saptarshi Debroy

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
Year: 2020 | Conference Paper |
Cited by: Papers (13)
In mobile edge computing (MEC) systems, offloading real-time and compute-intensive application tasks to remote edge servers is performed to relieve energy-constrained mobile devices of energy consuming computations. However, such practice often becomes counter-productive as transmission power requirements to offload such real-time tasks through wireless can make the mobile devices spend significan...Show More

Energy Efficient Task Offloading for Compute-intensive Mobile Edge Applications

Xiaojie Zhang;Saptarshi Debroy

Year: 2020 | Conference Paper |

Formal Modeling and Analysis of Multi-Rogue Backoff Manipulation Attacks in Unlicensed Networks

Jordi Navarrette;Subash Shankar;Xiaojie Zhang;Saptarshi Debroy

2020 16th International Conference on the Design of Reliable Communication Networks DRCN 2020
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Security vulnerabilities that are unique to unlicensed (secondary) networks have been well studied in literature. However, the nature and impact of traditional wireless network threats, such as backoff manipulation when applied to secondary networks, require further investigation in particular for multiple rogue station scenarios. In this paper, we perform modeling and analysis of multi-rogue back...Show More

Formal Modeling and Analysis of Multi-Rogue Backoff Manipulation Attacks in Unlicensed Networks

Jordi Navarrette;Subash Shankar;Xiaojie Zhang;Saptarshi Debroy

Year: 2020 | Conference Paper |

Frequency-Minimal Utility-Maximal Moving Target Defense Against DDoS in SDN-Based Systems

Saptarshi Debroy;Prasad Calyam;Minh Nguyen;Roshan Lal Neupane;Bidyut Mukherjee;Ajay Kumar Eeralla;Khaled Salah

IEEE Transactions on Network and Service Management
Year: 2020 | Volume: 17, Issue: 2 | Journal Article |
Cited by: Papers (22)
With the increase of DDoS attacks, resource adaptation schemes need to be effective to protect critical cloud-hosted applications. Specifically, they need to be adaptable to attack behavior, and be dynamic in terms of resource utilization. In this paper, we propose an intelligent strategy for proactive and reactive application migration by leveraging the concept of `moving target defense' (MTD). T...Show More

Frequency-Minimal Utility-Maximal Moving Target Defense Against DDoS in SDN-Based Systems

Saptarshi Debroy;Prasad Calyam;Minh Nguyen;Roshan Lal Neupane;Bidyut Mukherjee;Ajay Kumar Eeralla;Khaled Salah

Year: 2020 | Volume: 17, Issue: 2 | Journal Article |

Migration-driven Resilient Disaster Response Edge-Cloud Deployments

Xiaojie Zhang;Saptarshi Debroy

2019 IEEE 18th International Symposium on Network Computing and Applications (NCA)
Year: 2019 | Conference Paper |
Cited by: Papers (6)
Cloud based incidence response systems suffer from lack of network connectivity to offload compute intensive mission-critical applications to remote cloud. Thus, the next-generation incidence response solutions are becoming more edge-cloud based where computational resources are available closer to the disaster site. However, frequent and dynamic unpredictabilities or fluctuations generated in suc...Show More

Migration-driven Resilient Disaster Response Edge-Cloud Deployments

Xiaojie Zhang;Saptarshi Debroy

Year: 2019 | Conference Paper |

Multi-Cloud Performance and Security-driven Brokering for Bioinformatics Workflows

Minh Nguyen;Saptarshi Debroy;Prasad Calyam;Zhen Lyu;Trupti Joshi

2019 IEEE 27th International Conference on Network Protocols (ICNP)
Year: 2019 | Conference Paper |
Data-intensive bioinformatics applications often use federated multi-cloud infrastructures to support compute-intensive processing needs. In this paper, we propose a Multi-Cloud Performance and Security (MCPS) Brokering framework within such federated multi-cloud infrastructures to allocate cloud resources to applications by satisfying their performance and security requirements.Show More

Multi-Cloud Performance and Security-driven Brokering for Bioinformatics Workflows

Minh Nguyen;Saptarshi Debroy;Prasad Calyam;Zhen Lyu;Trupti Joshi

Year: 2019 | Conference Paper |

Security Middleground for Resource Protection in Measurement Infrastructure-as-a-Service

Ravi Akella;Saptarshi Debroy;Prasad Calyam;Alex Berryman;Kunpeng Zhu;Mukundan Sridharan

IEEE Transactions on Services Computing
Year: 2019 | Volume: 12, Issue: 4 | Journal Article |
Cited by: Papers (2)
Securing multi-domain network performance monitoring (NPM) systems that are being widely deployed as `Measurement Infrastructure-as-a-Service' (MIaaS) in high-performance computing is becoming increasingly critical. It presents an emerging set of research challenges in cloud security given that security mechanisms such as policy-driven access to federated NPM services across multiple domains need ...Show More

Security Middleground for Resource Protection in Measurement Infrastructure-as-a-Service

Ravi Akella;Saptarshi Debroy;Prasad Calyam;Alex Berryman;Kunpeng Zhu;Mukundan Sridharan

Year: 2019 | Volume: 12, Issue: 4 | Journal Article |

Whack-a-Mole: Software-defined Networking driven Multi-level DDoS defense for Cloud environments

Minh Nguyen;Amitangshu Pal;Saptarshi Debroy

2018 IEEE 43rd Conference on Local Computer Networks (LCN)
Year: 2018 | Conference Paper |
Cited by: Papers (4)
With wider adoption of Software-Defined Networking (SDN), network obfuscation and resource adaptation within a cloud environment have emerged as cost-effective solutions against cyber attacks. In spite of their implementation simplicity, shortcomings of such one-dimensional strategies are considerable against sophisticated attacks where the attacker/s have enhanced visibility to the cloud network....Show More

Whack-a-Mole: Software-defined Networking driven Multi-level DDoS defense for Cloud environments

Minh Nguyen;Amitangshu Pal;Saptarshi Debroy

Year: 2018 | Conference Paper |

Analyzing Moving Target Defense for Resilient Campus Private Cloud

Minh Nguyen;Priyanka Samanta;Saptarshi Debroy

2018 IEEE 11th International Conference on Cloud Computing (CLOUD)
Year: 2018 | Conference Paper |
Cited by: Papers (7)
With the surge in data-intensive science applications, the campus cloud infrastructures are increasingly dealing with sensitive data that has strict security requirements. However, in most cases due to lack of sophisticated security frameworks and trained personnel, such campus private clouds (CPC) are not fully equipped to handle sophisticated integrity, availability, and confidentiality attacks....Show More

Analyzing Moving Target Defense for Resilient Campus Private Cloud

Minh Nguyen;Priyanka Samanta;Saptarshi Debroy

Year: 2018 | Conference Paper |

Collaborative Adversarial Modeling for Spectrum Aware IoT Communications

Priyanka Samanta;Elizabeth Kelly;Amina Bashir;Saptarshi Debroy

2018 International Conference on Computing, Networking and Communications (ICNC)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
In order to cater the growing spectrum demands of large scale future 5G Internet of Things (IoT) applications, Dynamic Spectrum Access (DSA) based networks are being proposed as a high-throughput and cost-effective solution. However the lack of understanding of DSA paradigm's inherent security vulnerabilities on IoT networks might become a roadblock towards realizing such spectrum aware 5G vision....Show More

Collaborative Adversarial Modeling for Spectrum Aware IoT Communications

Priyanka Samanta;Elizabeth Kelly;Amina Bashir;Saptarshi Debroy

Year: 2018 | Conference Paper |

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