Abebe Diro

2.1k total citations · 3 hit papers
18 papers, 1.3k citations indexed

About

Abebe Diro is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Abebe Diro has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 6 papers in Information Systems. Recurrent topics in Abebe Diro's work include Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (6 papers) and Anomaly Detection Techniques and Applications (4 papers). Abebe Diro is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Advanced Malware Detection Techniques (6 papers) and Anomaly Detection Techniques and Applications (4 papers). Abebe Diro collaborates with scholars based in Australia, India and South Korea. Abebe Diro's co-authors include Naveen Chilamkurti, Yirga Yayeh Munaye, Yunyoung Nam, Haftu Tasew Reda, Shahriar Kaisar, Neeraj Kumar, Abdun Naser Mahmood, Akanksha Saini, Lu Zhou and Noor Zaman and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Abebe Diro

15 papers receiving 1.2k citations

Hit Papers

Distributed attack detection scheme using deep learning a... 2017 2026 2020 2023 2017 2023 2024 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abebe Diro Australia 10 954 677 481 303 138 18 1.3k
Hongliang Zhu China 10 661 0.7× 607 0.9× 433 0.9× 312 1.0× 90 0.7× 56 1.1k
Johari Abdullah Malaysia 15 919 1.0× 672 1.0× 501 1.0× 356 1.2× 78 0.6× 38 1.3k
Naeem Syed Australia 11 768 0.8× 527 0.8× 423 0.9× 293 1.0× 136 1.0× 26 1.0k
Yakub Kayode Saheed Nigeria 19 768 0.8× 629 0.9× 405 0.8× 147 0.5× 163 1.2× 39 1.1k
Ikkyun Kim South Korea 14 961 1.0× 805 1.2× 550 1.1× 309 1.0× 113 0.8× 54 1.3k
Devrim Ünal Qatar 17 691 0.7× 439 0.6× 274 0.6× 482 1.6× 136 1.0× 37 1.2k
Ameer Al-Nemrat United Kingdom 9 1.1k 1.2× 941 1.4× 683 1.4× 245 0.8× 96 0.7× 24 1.4k
Opeyemi Osanaiye Nigeria 9 819 0.9× 401 0.6× 261 0.5× 278 0.9× 68 0.5× 29 1.0k
Yuefei Zhu China 12 1.3k 1.4× 1.1k 1.7× 734 1.5× 186 0.6× 107 0.8× 44 1.6k
Ibrahim Ghafir United Kingdom 17 851 0.9× 425 0.6× 524 1.1× 548 1.8× 99 0.7× 60 1.2k

Countries citing papers authored by Abebe Diro

Since Specialization
Citations

This map shows the geographic impact of Abebe Diro's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Abebe Diro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abebe Diro more than expected).

Fields of papers citing papers by Abebe Diro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abebe Diro. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Abebe Diro. The network helps show where Abebe Diro may publish in the future.

Co-authorship network of co-authors of Abebe Diro

This figure shows the co-authorship network connecting the top 25 collaborators of Abebe Diro. A scholar is included among the top collaborators of Abebe Diro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abebe Diro. Abebe Diro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Gan, Chenquan, et al.. (2025). Dual-driven synergy of blockchain and federated learning for trustworthy medical data sharing in internet of medical things. Journal of Information Security and Applications. 97. 104348–104348.
2.
Diro, Abebe, et al.. (2025). A survey of cyber threat attribution: Challenges, techniques, and future directions. Computers & Security. 157. 104606–104606.
3.
Diro, Abebe, et al.. (2025). Workplace security and privacy implications in the GenAI age: A survey. Journal of Information Security and Applications. 89. 103960–103960. 3 indexed citations
4.
Diro, Abebe, et al.. (2025). A Novel Blockchain-Enabled Federated Learning Scheme for IoT Anomaly Detection. SHILAP Revista de lepidopterología. 3. 798–813.
5.
Khan, Shah Khalid, Nirajan Shiwakoti, Abebe Diro, et al.. (2024). Space cybersecurity challenges, mitigation techniques, anticipated readiness, and future directions. International Journal of Critical Infrastructure Protection. 47. 100724–100724. 3 indexed citations
6.
Abbasnejad, Behzad, Araz Nasirian, Sophia Xiaoxia Duan, et al.. (2024). Measuring BIM Implementation: A Mathematical Modeling and Artificial Neural Network Approach. Journal of Construction Engineering and Management. 150(5). 4 indexed citations
7.
Kaisar, Shahriar, et al.. (2024). Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning. Big Data Mining and Analytics. 7(2). 294–314. 1 indexed citations
8.
Zhou, Lu, et al.. (2024). Leveraging zero knowledge proofs for blockchain-based identity sharing: A survey of advancements, challenges and opportunities. Journal of Information Security and Applications. 80. 103678–103678. 66 indexed citations breakdown →
9.
Diro, Abebe, et al.. (2024). Anomaly detection for space information networks: A survey of challenges, techniques, and future directions. Computers & Security. 139. 103705–103705. 24 indexed citations
10.
Munaye, Yirga Yayeh, et al.. (2023). Cyber security: State of the art, challenges and future directions. SHILAP Revista de lepidopterología. 2. 100031–100031. 89 indexed citations breakdown →
11.
Diro, Abebe, et al.. (2021). A Comprehensive Study of Anomaly Detection Schemes in IoT Networks Using Machine Learning Algorithms. Sensors. 21(24). 8320–8320. 66 indexed citations
12.
Diro, Abebe, Haftu Tasew Reda, Naveen Chilamkurti, et al.. (2020). Lightweight Authenticated-Encryption Scheme for Internet of Things Based on Publish-Subscribe Communication. IEEE Access. 8. 60539–60551. 80 indexed citations
13.
Reda, Haftu Tasew, Abdun Naser Mahmood, Abebe Diro, Naveen Chilamkurti, & Suresh Kallam. (2019). Firefly-inspired stochastic resonance for spectrum sensing in CR-based IoT communications. Neural Computing and Applications. 32(20). 16011–16023. 9 indexed citations
14.
Diro, Abebe, Naveen Chilamkurti, & Yunyoung Nam. (2018). Analysis of Lightweight Encryption Scheme for Fog-to-Things Communication. IEEE Access. 6. 26820–26830. 34 indexed citations
15.
Diro, Abebe & Naveen Chilamkurti. (2018). Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications. IEEE Communications Magazine. 56(9). 124–130. 136 indexed citations
16.
Diro, Abebe, Haftu Tasew Reda, & Naveen Chilamkurti. (2018). Differential flow space allocation scheme in SDN based fog computing for IoT applications. Journal of Ambient Intelligence and Humanized Computing. 15(2). 1353–1363. 24 indexed citations
17.
Diro, Abebe & Naveen Chilamkurti. (2017). Distributed attack detection scheme using deep learning approach for Internet of Things. Future Generation Computer Systems. 82. 761–768. 661 indexed citations breakdown →
18.
Diro, Abebe, Naveen Chilamkurti, & Neeraj Kumar. (2017). Lightweight Cybersecurity Schemes Using Elliptic Curve Cryptography in Publish-Subscribe fog Computing. Mobile Networks and Applications. 22(5). 848–858. 51 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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