Al-Nahrain University Academic Staff Profiles System

Academic staff profiles
Al-Nahrain University

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PERSONAL INFORMATION

Full Name: Dr. Ban Mohammed Khammas Gender: Female Birthdate: 1979 Nationality: Iraq Degree: PhD Academic Title: Assistant Professor College\Center: College of Information Engineering Departement: Computer Networks Engineering Major: Computer Engineering Specialty: Networks Security Mother Language: Arabic Other Languages: English Work email: banm1979@nahrainuniv.edu.iq Personal email: bankhammas@coie-nahrain.edu.iq

EDUCATION

B.Sc. : Computer Engineering / College of Engineering / Baghdad University , in 2002.
M.Sc. : Computer Techniques / College of Electrical and Electronics Techniques / Electrical and Electronics Techniques , in 2006.
Ph.D. : Electronic & Computer Engineering Department / FKE- Faculty of Electrical Engineering / Universiti Teknologi Malaysia , 2017.

SKILLS AND QUALIFICATIONS

Network Security, Hardware Design using FPGA, Machine Learning, Packet Classification, Artificial-Intelligence. MATLAB , Python.

APPOINTMENTS

Editor-in-chief of the Iraqi Journal of Information and Communications Technology from 6/2021 until now.

RESEARCH EXPERIENCE SUPERVISOR THESIS

I have published 19 papers. I supervise graduate students.

TEACHINING EXPERINENCE

Network Security, Computer network, Computer Architecture, Digital System Design, Logic Circuit, electrical Circuit, Control, Engineering and Numerical Analysis, Microprocessor, Network Fundamental, VHDL. Machine Learning, Engineering Math.

LINKS

https://scholar.google.com/citations?user=CuVCgjsAAAAJ&hl=en

https://publons.com/researcher/4113255/ban-khammas/

https://www.researchgate.net/profile/Ban_Mohammed?ev=hdr_xprf&_sg=9iz7PQRd9tnzsQQytddu37Gu2fT9an6OnxlOvOre3jOyQyx2sfluUTOsVeeJXOwXs20VEIoMKwkWFypGu_KjQbvq

https://publons.com/researcher/1661224/ban-khammas/

https://orcid.org/0000-0003-3117-7493

https://www.linkedin.com/feed/

Publications

Comparative analysis of various machine learning algorithms for ransomware detection
B khammas, 2022
TELKOMNIKA Telecommunication Computing Electronics and Control, 20, (1), 43-51

Hybrid Evolutionary Approach in Feature Vector for Ransomware Detection
B khammas, N Aljubory, 2021
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)
Online traffic classification for malicious flows using efficient machine learning techniques
Y Chan, I Ismail, B Khammas, 2021
TELKOMNIKA Telecommunication, Computing, Electronics and Control, 19, (4), 1396~1406

Ransomware Detection using Random Forest Technique
B Khammas, 2020
ICT Express, 6, (4), 325-331
The Performance of IoT Malware Detection Technique Using Feature Selection and Feature Reduction in Fog Layer
B Khammas, 2020
IOP Conference Series: Materials Science and Engineering, 928, (2), 022047

Pre-filters in-transit malware packets detection in the network
B Khammas, I Ismail, M Marsono, 2019
Telkomnika, 17, (4), 1706-1714
Obfuscated computer virus detection using machine learning algorithm
T Xin, I Ismail, B Khammas, 2019
Bulletin of Electrical Engineering and Informatics, 8, (4), 1383-1391

Accuracy improved malware detection method using snort sub-signatures and machine learning techniques
B Khammas, S Hasan, R Ahmed, J Bassi, I Ismail, 2018
2018 10th Computer Science and Electronic Engineering (CEEC), 107-112
Malware detection using sub-signatures and machine learning technique
B Khammas, 2018
Journal of Information Security Research, 9, (3), 96-106
First Line Defense Against Spreading New Malware in the Network
B Khammas, S Hasan, N Nateq, J Bassi, I Ismail, M Marsono, 2018
2018 10th Computer Science and Electronic Engineering (CEEC), 113-118

Metamorphic malware detection based on support vector machine classification of malware sub-signatures
B Khammas, A Monemi, I Ismail, S Nor, M Marsono, 2016
TELKOMNIKA (Telecommunication Computing Electronics and Control), 14, (3), 1157-1165
Online Peer-To-Peer Traffic Identification Based On Complex Events Processing Of Traffic Event Signatures
J Bassi, L Ru, I Ismail, B Khammas, M Marsono, 2016
Jurnal Teknologi, 78, (7)

Feature selection and machine learning classification for malware detection
B Khammas, A Monemi, J Bassi, I Ismail, S Nor, M Marsono, 2015
Jurnal Teknologi, 77, (1)
Incorporating known malware signatures to classify new malware variants in network traffic
I Ismail, M Marsono, B Khammas, S Nor, 2015
International Journal of Network Management, 25, (6), 471-489

Ambiguity and Concepts in Real Time Online Internet Traffic Classification
H Ibrahim, S Nor, B Khammas, 2014
International Journal of Engineering & Technology, 6, 0975-4024

Implementation of a sigmoid activation function for neural network using FPGA
T Jamel, B Khammas, 2012
13th Scientific Conference of Al-Ma’moon University College, 13
Design Neural Wireless Sensor Network Using FPGA
B Khammas, 2012
Eng. & Tech. Journal, 30, (9), 1641-1661
FPGA based neural wireless sensor network
T Jamel, B Khammas, M Zibar, 2012
the 13th international arab conference on information technology, acit Dec, 10-13
Design a Fault Tolerance for Real Time Distributed System
B Khammas, 2012
Al-Khwarizmi Engineering Journal, 8, (1), 11-17

Eye-Identification System Based on Back-Propagation NN Recognizer
M Abdala, M Khammas, M Abdullah, 2010
Journal of Engineering and Sustainable Development, 14, (4)

1004 Profile visits - Profile last updated on: 2022-01-31 15:07:14

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