Home›Search›Al-Noor Journal for Information Technology and Cybersecurity

Al-Noor Journal for Information Technology and Cybersecurity

Alnoor University · Iraq · Est. 2024

ISSN3078-5367eISSN3078-9990

✓ DOAJ✓ Open Access

/ 100

High Risk

Score Breakdown

✓ DOAJ Verified+15

Total15

H-Index

Total Works

Total Citations

2yr Mean Citedness

0.23

Free JIF alternative

Aims & Scope

Al-Noor Journal for Information Technology and Cybersecurity (NJITCS) is a scientific and open-access journal. Publishing under the Creative Commons Attribution 4.0 International (CC-BY) license, this journal has been published quarterly by Al-Noor University, Iraq, since January 2025. The journal’s ISSN is 3078-5367. We are using iThenticate to prevent plagiarism and ensure the originality of submitted manuscripts. A double-blind peer-reviewing system is used to ensure the quality of publications.

General Information

Country / RegionIraq

Primary LanguageEnglish

1st Year Published2024

FrequencyQuarterly

StatusActive (last: 2025)

Total Publications13

OA Since2024

Visit Journal Website

Submission Info

Peer ReviewDouble anonymous peer review

Review Time—

Acceptance Rate36%

OA LicenseCC BY

OA Rate—

Ethics & Quality

COPE Member✗ No

OASPA Member✗ No

Not on Predatory Lists✓ Yes

Plagiarism Detection✓ Yes

Think.Check.Submit Compliance

thinkchecksubmit.org

9/12 · 75%

✅

Do you know the journal / publisher?

Alnoor University

✅

Does the journal have a website?

✓ Linked

✅

Is the ISSN verified?

3078-5367 / 3078-9990

✅

Indexed in a trusted database?

DOAJ

✅

Peer review process documented?

Double anonymous peer review

❌

Follows ethical publishing standards (COPE)?

N/A

❌

APC fees clearly disclosed?

N/A

✅

Not on predatory/blacklists?

✓ Clean

❌

Long-term digital preservation?

N/A

✅

Plagiarism detection in place?

Yes

✅

Listed in DOAJ (verified OA)?

DOAJ verified

✅

Primary language documented?

English

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Subject Classification

Research Topics (OpenAlex)

Network Security and Intrusion DetectionSpeech Recognition and SynthesisChaos-based Image/Signal EncryptionAdvanced Malware Detection TechniquesArtificial Intelligence in HealthcareInternet Traffic Analysis and Secure E-votingAdversarial Robustness in Machine LearningInternet of Things and AIComputational and Text Analysis MethodsTopic Modeling