7 Apr 2026Open access
High-Performance Phishing Email Detection Using Hybrid Machine Learning and Deep Learning ApproachesPublisher siteResearch Square, Spam and Phishing Detection
Active, last published 2026
In spam and phishing detection
Mohamed
Khayati
Scholar“Research focused on Spam and Phishing Detection and adjacent fields.”
Claim Your Profile1
H-index
4
Citations
Mohamed has not officially claimed their profile. If you are Mohamed, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
ohamed Khayati is a researcher working on Spam and Phishing Detection. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Mohamed's work has been cited 4 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Spam and Phishing Detection×3Misinformation and Its Impacts×2
04 · Where I am
Affiliations
Affiliation on published researchUniversité Sultan Moulay Slimane, MoroccoDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
4 works1 Jan 2026
Secure an Autonomous Driving System Using Deep Reinforcement Learning: A Simulation-Based Study in CARLAPublisher siteCommunications in computer and information science, Autonomous Vehicle Technology and Safety
27 Dec 20251cites
Combating modern smishing: A deep learning framework leveraging hybrid CNN-LSTM and attention mechanismsPublisher siteInternational Journal of Information Technology, Spam and Phishing Detection
7 Aug 2025Open access
A Secure Approach to Detect Phishing Emails Based on Machine Learning and Deep LearningPublisher siteResearch Square, Spam and Phishing Detection
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Mohamed?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you