ICCC

Dr. Sulaiman Alhaidari

PhD Computer Science

Sulaiman Alhaidari’s doctoral work at Oakland University was supervised by Mohamed A. Zohdy, with Debatosh Debnath as co-adviser. His documented research explores machine-learning applications. Documented research areas include machine learning and network anomaly detection.

Selected published work: “Network Traffic Anomaly Detection based on Viterbi Algorithm Using SNMP MIB Data” (2019). Publication details and links are listed below.

Research & Publications

Research & Publications

4 matched publications · Newest first

This list contains publications matched from publisher and author records. It may not include every publication.

2019 · Proceedings of the 2019 3rd International Conference on Information System and Data Mining

Network Traffic Anomaly Detection based on Viterbi Algorithm Using SNMP MIB Data

Sulaiman Alhaidari, Ali Alharbi, Mansour Alshaikhsaleh, Mohamed Zohdy, Debatosh Debnath

View Publication
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.

For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.

2019 · 2019 IEEE International Conference On Artificial Intelligence Testing (AITest)

Network Anomaly Detection Using Two-Dimensional Hidden Markov Model Based Viterbi Algorithm

Sulaiman Alhaidari, Mohamed Zohdy

View Publication
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.

For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.

2019 · Proceedings of the 2019 3rd International Conference on Information System and Data Mining

Hybrid Learning Approach of Combining Cluster-Based Partitioning and Hidden Markov Model for IoT Intrusion Detection

Sulaiman Alhaidari, Mohamed Zohdy

View Publication
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.

For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.

2017 · 2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)

Security Threats and Challenges in Cloud Computing

Abdulaziz Alshammari, Sulaiman Alhaidari, Ali Alharbi, Mohamed Zohdy

View Publication
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.

For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
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