ICCC

Dr. Ahmad Alshammari

PhD in Computer Science and Informatics

Ahmad Alshammari’s original ICCC biography records lecturing experience at Northern Border University in Saudi Arabia. Research interests include cybersecurity and network security in IoT systems. Documented research areas include ioT intrusion detection and hidden Markov models.

Selected published work: “Internet of Things Attacks Detection and Classification Using Tiered Hidden Markov Model” (2019). Publication details and links are listed below.

Education

  • Ph.D. in Computer Science and Informatics, 2019

Research statistics

Verified ICCC collection

Documented research records
1
Publication records
1
Degree research records
0

Indexed citation figures

Indexed research works
34
Citations to indexed works · all years
210
Citations received · 2024–2026
197
  1. 202434
  2. 202572
  3. 202691

Annual citations: 2024: 34 · 2025: 72 · 2026: 91. Retrieved 2026-10-24. Source 1Checked 2026-10-24

ICCC counts cover the verified collection. Citation figures cover only the displayed indexed source records, not guaranteed career totals. OpenAlex coverage and author clustering can be incomplete. These figures differ from Google Scholar and include self-citations. Compare available member metrics →

Research & Publications

1 research work · Newest first

Authored and co-authored publications, with authors shown in the source order. This list reflects the records currently verified by ICCC and may not be complete.

2019 · Proceedings of the 2019 8th International Conference on Software and Computer Applications

Internet of Things Attacks Detection and Classification Using Tiered Hidden Markov Model

Ahmad Alshammari, Mohamed A. Zohdy

View Publication

OpenAlex: 3 citations Source ↗

Start here · New researcher guide

A reading workflow, not an author-verified summary. Confirm all details in the original publication.

  1. Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
  2. Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
  3. Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
  4. Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
  5. Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.

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