Baraq Ghaleb
baraq ghaleb

Dr Baraq Ghaleb

Associate Professor

 0131 455 2538

  B.Ghaleb@napier.ac.uk

  

Biography

Baraq Ghaleb (PhD, MSc, BSc, FHEA, IEEE) is an associate professor within the Centre for Distributed Computing, Networks and Security at Edinburgh Napier University. He is currently involved in delivering and leading several modules for the Undergraduate (UG) and Postgraduate (PG) levels within the Cyber Security and Systems Engineering subject group. Dr. Ghaleb was awarded his PhD from Edinburgh Napier University in June 2019. He is an experienced researcher with more than 8 years of cutting-edge research around Cyber Security, Internet of Things, Blockchain and Machine Learning. His research interests revolve around investigating the security vulnerabilities of the Internet of Things standards and utilising the cutting-edge advancements in addressing such vulnerabilities. Dr. Ghaleb has been involved in several externally funded research projects as a Principal Investigator and Co-Investigator and with a total budget of around £ 435,000. He has co-authored and published more than 35 research papers, in prestigious peer-reviewed outlets. In addition, Dr. Ghaleb has been involved in supervising and mentoring research Master and PhD students since he accomplished his PhD thesis in 2019.

School

Research Groups

Events

Esteem

Conference Organising Activity

  • Track Chair

 

External Examining/Validations

  • PhD Examiner

 

Fellowships and Awards

  • Best paper award International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021)
  • Edinburgh Napier PhD Scholarship
  • MSc Studentship Award
  • • BSc Studentship Award, Higher Education and Scientific Research Ministry, Yemen (4 years)

 

Membership of Professional Body

  • Fellowship-Highr Academy

 

Reviewing

  • Reviewer for Journals and Conferences

 

Spin-outs and Licences

  • Patent

 

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Date


29 results

A Comparative Performance Evaluation of A load-balancing Algorithm using Contiki: “RPL vs QU-RPL”

Journal Article
Stoyanov, S., Ghaleb, B., & Ghaleb, S. (2020)
A Comparative Performance Evaluation of A load-balancing Algorithm using Contiki: “RPL vs QU-RPL”. International Journal of Advanced Trends in Computer Science and Engineering, 9(4), 6834-6839. https://doi.org/10.30534/ijatcse/2020/384942020
The RPL (Routing Protocol for Low-Power and Lossy Networks) has emerged within constrained networks as the de-facto IPv6 routing standard, which entangles many concepts that m...

SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain

Conference Proceeding
Jaroucheh, Z., Ghaleb, B., & Buchanan, W. J. (2020)
SklCoin: Toward a Scalable Proof-of-Stake and Collective Signature Based Consensus Protocol for Strong Consistency in Blockchain. https://doi.org/10.1109/icsa-c50368.2020.00034
The proof-of-work consensus protocol suffers from two main limitations: waste of energy and offering only probabilistic guarantees about the status of the blockchain. This pap...

Mitigation Mechanisms Against the DAO Attack on the Routing Protocol for Low Power and Lossy Networks (RPL)

Journal Article
Wadhaj, I., Ghaleb, B., Thomson, C., Al-Dubai, A., & Buchanen, B. (2020)
Mitigation Mechanisms Against the DAO Attack on the Routing Protocol for Low Power and Lossy Networks (RPL). IEEE Access, 8, 43665-43675. https://doi.org/10.1109/ACCESS.2020.2977476
Destination Advertisement Objects (DAOs) are sent upward by RPL nodes toward the DODAG root, to build the downward routing paths carrying traffic from the root to its associat...

Efficient Routing Primitives for Low-power and Lossy Networks in Internet of Things

Thesis
Ghaleb, B. Efficient Routing Primitives for Low-power and Lossy Networks in Internet of Things. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2070542
At the heart of the Internet of Things (IoTs) are the Low-power and Lossy networks (LLNs), a collection of interconnected battery-operated and resource-constrained tiny device...

The RPL Load Balancing in IoT Network with Burst Traffic Scenarios

Conference Proceeding
Altwassi, H. S., Pervez, Z., Dahal, K., & Ghaleb, B. (2019)
The RPL Load Balancing in IoT Network with Burst Traffic Scenarios. In 2018 12th International Conference on Software, Knowledge, Information Management & Applications (SKIMA). https://doi.org/10.1109/skima.2018.8631520
The RPL (Routing Protocol for Low-Power and Lossy Networks) has emerged within constrained networks as the de-facto IPv6 routing standard, which entangles many concepts that m...

A New Load-Balancing Aware Objective Function for RPL's IoT Networks

Conference Proceeding
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Gharib, W., Mackenzi, L., & Bani Khala, M. (2019)
A New Load-Balancing Aware Objective Function for RPL's IoT Networks. In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). https://doi.org/10.1109/hpcc/smartcity/dss.2018.00151
The IPv6 Routing Protocol for Low-power and Lossy Networks (RPL) has been recently standardized as the de facto solution for routing in the context of the emerging Internet of...

Addressing the DAO Insider Attack in RPL’s Internet of Things Networks

Journal Article
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Qasem, M., Romdhani, I., & Mackenzie, L. (2018)
Addressing the DAO Insider Attack in RPL’s Internet of Things Networks. IEEE Communications Letters, 23(1), 68-71. https://doi.org/10.1109/LCOMM.2018.2878151
In RPL routing protocol, the DAO (Destination Advertisement Object) control messages are announced by the child nodes to their parents to build downward routes. A malicious in...

A Survey of Limitations and Enhancements of the IPv6 Routing Protocol for Low-power and Lossy Networks: A Focus on Core Operations

Journal Article
Ghaleb, B., Al-Dubai, A. Y., Ekonomou, E., Alsarhan, A., Nasser, Y., Mackenzie, L. M., & Boukerche, A. (2018)
A Survey of Limitations and Enhancements of the IPv6 Routing Protocol for Low-power and Lossy Networks: A Focus on Core Operations. Communications Surveys and Tutorials, IEEE Communications Society, https://doi.org/10.1109/COMST.2018.2874356
Driven by the special requirements of the Low-power and Lossy Networks (LLNs), the IPv6 Routing Protocol for LLNs (RPL) was standardized by the IETF some six years ago to tack...

A Novel Adaptive and Efficient Routing Update Scheme for Low-Power Lossy Networks in IoT

Journal Article
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Romdhani, I., Nasser, Y., & Boukerche, A. (2018)
A Novel Adaptive and Efficient Routing Update Scheme for Low-Power Lossy Networks in IoT. IEEE Internet of Things, 5(6), 12. https://doi.org/10.1109/JIOT.2018.2862364
In this paper, we introduce Drizzle, a new algorithm for maintaining routing information in the Low-power and Lossy Networks (LLNs). The aim is to address the limitations of t...

Drizzle: Adaptive and fair route maintenance algorithm for Low-power and Lossy Networks in IoT

Conference Proceeding
Ghaleb, B., Al-Dubai, A., Romdhani, I., Nasser, Y., & Boukerche, A. (2017)
Drizzle: Adaptive and fair route maintenance algorithm for Low-power and Lossy Networks in IoT. In 2017 IEEE International Conference on Communications (ICC). , (1-6). https://doi.org/10.1109/icc.2017.7996819
Low-power and Lossy Networks (LLNs) have been a key component in the Internet of Things (IoT) paradigm. Recently, a standardized algorithm, namely Trickle algorithm, is adopte...

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