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Adnan Akhunzada

Researcher at Technical University of Denmark

Publications -  90
Citations -  1848

Adnan Akhunzada is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 18, co-authored 76 publications receiving 1163 citations. Previous affiliations of Adnan Akhunzada include COMSATS Institute of Information Technology & National University of Sciences and Technology.

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Securing software defined networks: taxonomy, requirements, and open issues

TL;DR: The state-of-the-art security solutions proposed to secure SDNs are discussed, with a thematic taxonomy based on SDN layers/interfaces, security measures, simulation environments, and security objectives.
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A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks

TL;DR: A deep convolutional neural network (CNN) ensemble framework for efficient DDoS attack detection in SDNs is proposed and is evaluated on a current state-of-the-art Flow-based dataset under established benchmarks.
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Remote Data Auditing in Cloud Computing Environments: A Survey, Taxonomy, and Open Issues

TL;DR: This survey aims to investigate similarities and differences of such a framework on the basis of the thematic taxonomy to diagnose significant and explore major outstanding issues in the domain of the distributed clouds.
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Secure and dependable software defined networks

TL;DR: A contemporary layered/interface taxonomy of the reported security vulnerabilities, attacks, and challenges of SDN is devised by devising a comprehensive thematic taxonomy in an effort to anticipate secure and dependable SDNs.
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Network-centric Performance Analysis of Runtime Application Migration in Mobile Cloud Computing

TL;DR: The analysis shows that the application and its running states migration time is affected by the changes in the network conditions, and recommends application execution framework designers to incorporate the network-centric parameters along with other parameters in the decision process of the application migration.