Faculty

Institution

Unit

Venue

Tara Salman

Assistant Professor of Computer Science

Texas Tech University

Affiliations

Edward E. Whitacre Jr. College of Engineering

Department of Computer Science

Tara Salman is currently serving as a Computer Science Assistant Professor of Computer Science at Texas Tech University.

Honors

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Experiences

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Education

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Tara Salman

Texas Tech University

Assistant Professor of Computer Science

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computer science machine learning computer security systems engineering internet of things blockchain technology data security federated learning blockchain security electrical engineering survey methodology deep learning knowledge-based systems data privacy intrusion detection systems federated structure distributed learning attack model probabilistic blockchains health informatics quantum computing quantum engineering soft computing information technology wireless communications learning analytics knowledge management information forensics machine learning research vehicular technology communication security service security iot security benchmark studies future internet healthcare information security reputation management fault management iot protocol protocol compliance participatory decision-making density estimation estimation theory spectrum estimation statistical signal processing anomaly detection network optimization caching channel access method device-to-device blockchain scalability evasion technique trustworthy computing confidential computing secure computing location estimation aerial robotics security services systems security healthcare systems network data comparison study cybersecurity research scada system networking protocols cloud security quantum blockchain multi-cloud healthcare systems comprehensive review reputation management framework awgn channel non-data-aided snr estimation

Notable Scholarly Works

Notable Federal Grants

Collaborators

FEDSSV: Client Contribution for Secure Federated Learning Aggregation Using Scaled Shapley Values. IEEE Transactions on Network Science and Engineering (2026)

data privacycomputer securityfederated structurefederated learningdistributed learningdata scienceinformation securitydata securityclient contributioncomputer science

Adversarial Evasion Attacks on Occ-Based Machine Learning Intrusion Detection Systems in the Internet of Things. (2025)

intrusion detection systemsinformation forensicsmachine learningcomputer securityevasion techniqueinformation securitycomputer scienceinternet of things

Efficient Energy Theft Detection Utilizing Hierarchical Federated Learning. (2025)

federated learningcomputer sciencemachine learning researchmachine learning

FEDECPA: An Efficient Countermeasure Against Scaling-Based Model Poisoning Attacks in Blockchain-Based Federated Learning. Sensors (2025)

blockchain scalabilityblockchaincomputer securityfederated learningcomputer science

Hierarchical Federated Learning: Approaches, Applications, and Open Challenges. IEEE Access (2025)

technologymachine learninglearning analyticsfederated learningdistributed learningdata sciencefederated structurecomputer science

Mitigating Gradient Inversion Attacks in Energy Theft Using Hierarchical Federated Learning. (2025)

machine learningcommunication securitydata privacycomputer securityfederated learningdata securityinformation securitycomputer scienceadversarial machine learningattack model

On the Analysis of Model Poisoning Attacks Against Blockchain-Based Federated Learning. (2024)

Rukayat OlapojoyeMohamed BazaTara Salman

machine learningcomputer securityfederated learningblockchain-based federated learningdata securityinformation securitycomputer scienceattack model

A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions. Computer Science Review (2023)

Brian HildebrandMohamed BazaTara SalmanSimra TabassumBharath KonathamFathi AmsaadAbdul Razaque

blockchaincomprehensive reviewcomputer scienceinternet of things

CROWDFAB: Intelligent Crowd-Forecasting Using Blockchains and Its Use in Security. IEEE Transactions on Dependable and Secure Computing (2023)

Tara SalmanAli GhubaishRoberto Di PietroMohammed BazaHani AlshahraniRaj JainKim-Kwan Raymond Choo

machine learningblockchaincomputer securitytrustworthy computingsecure computingblockchain securityubiquitous computinginformation securitydata securityforecastingintelligent crowd-forecastingcomputer scienceconfidential computing

Cybersecurity of Multi-Cloud Healthcare Systems: A Hierarchical Deep Learning Approach. Applied Soft Computing (2022)

Lav GuptaTara SalmanAli GhubaishDevrim UnalAbdulla Khalid Al-AliRaj Jain

technologysoft computingcomputer securityhealthcare information securitydeep learningmulti-cloud healthcare systemsdata securityinformation security

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Tara Salman

Assistant Professor of Computer Science

Texas Tech University

Affiliations

Edward E. Whitacre Jr. College of Engineering

Department of Computer Science

Tara Salman is currently serving as a Computer Science Assistant Professor of Computer Science at Texas Tech University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Tara Salman

Texas Tech University

Assistant Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

FEDSSV: Client Contribution for Secure Federated Learning Aggregation Using Scaled Shapley Values. IEEE Transactions on Network Science and Engineering (2026)

data privacycomputer securityfederated structurefederated learningdistributed learningdata scienceinformation securitydata securityclient contributioncomputer science

Adversarial Evasion Attacks on Occ-Based Machine Learning Intrusion Detection Systems in the Internet of Things. (2025)

intrusion detection systemsinformation forensicsmachine learningcomputer securityevasion techniqueinformation securitycomputer scienceinternet of things

Efficient Energy Theft Detection Utilizing Hierarchical Federated Learning. (2025)

federated learningcomputer sciencemachine learning researchmachine learning

FEDECPA: An Efficient Countermeasure Against Scaling-Based Model Poisoning Attacks in Blockchain-Based Federated Learning. Sensors (2025)

blockchain scalabilityblockchaincomputer securityfederated learningcomputer science

Hierarchical Federated Learning: Approaches, Applications, and Open Challenges. IEEE Access (2025)

technologymachine learninglearning analyticsfederated learningdistributed learningdata sciencefederated structurecomputer science

Mitigating Gradient Inversion Attacks in Energy Theft Using Hierarchical Federated Learning. (2025)

machine learningcommunication securitydata privacycomputer securityfederated learningdata securityinformation securitycomputer scienceadversarial machine learningattack model

On the Analysis of Model Poisoning Attacks Against Blockchain-Based Federated Learning. (2024)

Rukayat OlapojoyeMohamed BazaTara Salman

machine learningcomputer securityfederated learningblockchain-based federated learningdata securityinformation securitycomputer scienceattack model

A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions. Computer Science Review (2023)

Brian HildebrandMohamed BazaTara SalmanSimra TabassumBharath KonathamFathi AmsaadAbdul Razaque

blockchaincomprehensive reviewcomputer scienceinternet of things

CROWDFAB: Intelligent Crowd-Forecasting Using Blockchains and Its Use in Security. IEEE Transactions on Dependable and Secure Computing (2023)

Tara SalmanAli GhubaishRoberto Di PietroMohammed BazaHani AlshahraniRaj JainKim-Kwan Raymond Choo

Cybersecurity of Multi-Cloud Healthcare Systems: A Hierarchical Deep Learning Approach. Applied Soft Computing (2022)

Lav GuptaTara SalmanAli GhubaishDevrim UnalAbdulla Khalid Al-AliRaj Jain

technologysoft computingcomputer securityhealthcare information securitydeep learningmulti-cloud healthcare systemsdata securityinformation security

1
2
3
4
10 / page

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applied artificial intelligence

ai architecture

Qiang Zeng

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George Mason University

information security

computer science

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cybersecurity education

cyber-physical systems

Pablo Rivas

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ai adoption

Rui Zhang

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systems engineering

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