Ban Mohammed Khammas

654 citations

23 papers · 390 indexed · 1 hit paper · h-index 7

Computer Networks and Communications top 10%
Signal Processing top 5%
Control and Systems Engineering top 10%
Information Systems top 10%
Artificial Intelligence

Co-authors: Joseph Stephen Bassi Afeez Abidemi David Opeoluwa Oyewola Emmanuel Gbenga Dada Muhammad Nadzir Marsono
Topics: Network Security and Intrusion Detection (19 papers)Advanced Malware Detection Techniques (18 papers)Spam and Phishing Detection (7 papers)
Cited by: Signal Processing Computer Networks and Communications Control and Systems Engineering
Journals: SHILAP Revista de lepidopterologíaHeliyon ICT Express
Partner nations: Iraq Malaysia Nigeria

In The Last Decade

Ban Mohammed Khammas

22 papers receiving 365 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems

2022 212 citations Joseph Stephen Bassi, Emmanuel Gbenga Dada et al. Heliyon profile →

Peers

Countries citing papers authored by Ban Mohammed Khammas

Since Specialization

Citations

This map shows the geographic impact of Ban Mohammed Khammas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ban Mohammed Khammas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ban Mohammed Khammas more than expected).

Fields of papers citing papers by Ban Mohammed Khammas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ban Mohammed Khammas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ban Mohammed Khammas. The network helps show where Ban Mohammed Khammas may publish in the future.

Co-authorship network of co-authors of Ban Mohammed Khammas

This figure shows the co-authorship network connecting the top 25 collaborators of Ban Mohammed Khammas. A scholar is included among the top collaborators of Ban Mohammed Khammas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ban Mohammed Khammas. Ban Mohammed Khammas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Performance Evaluation of Deep Learning Techniques in The Detection of IOT Malware 2024 ·SHILAP Revista de lepidopterología ·(unknown),Ban Mohammed Khammas	2
2	IoT Malware Detection Technique Based on Deep Learning and Natural Language Processing 2023 ·(unknown),Ban Mohammed Khammas	1
3	Simplified review on cyber security threats detection in IoT environment using deep learning approach 2023 ·journal of the college of basic education ·(unknown),Ban Mohammed Khammas	1
4	Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problemsbreakdown → 2022 ·Heliyon ·Joseph Stephen Bassi,Emmanuel Gbenga Dada,Afeez Abidemi,David Opeoluwa Oyewola,Ban Mohammed Khammas	212
5	Comparative analysis of various machine learning algorithms for ransomware detection 2022 ·TELKOMNIKA (Telecommunication Computing Electronics and Control) ·Ban Mohammed Khammas	6
6	AN EFFECTIVE AND EFFICIENT FEATURES VECTORS FOR RANSOMWARE DETECTION VIA MACHINE LEARNING TECHNIQUE 2022 ·SHILAP Revista de lepidopterología ·(unknown),Ban Mohammed Khammas	1
7	Hybrid Evolutionary Approach in Feature Vector for Ransomware Detection 2021 ·(unknown),Ban Mohammed Khammas	2
8	Online traffic classification for malicious flows using efficient machine learning techniques 2021 ·TELKOMNIKA (Telecommunication Computing Electronics and Control) ·(unknown),(unknown),Ban Mohammed Khammas	1
9	Ransomware Detection using Random Forest Technique 2020 ·ICT Express ·Ban Mohammed Khammas	75
10	The Performance of IoT Malware Detection Technique Using Feature Selection and Feature Reduction in Fog Layer 2020 ·IOP Conference Series Materials Science and Engineering ·Ban Mohammed Khammas	6
11	Pre-filters in-transit malware packets detection in the network 2019 ·TELKOMNIKA (Telecommunication Computing Electronics and Control) ·Ban Mohammed Khammas,(unknown),Muhammad Nadzir Marsono	6
12	Accuracy Improved Malware Detection Method using Snort Sub-signatures and Machine Learning Techniques 2018 ·Ban Mohammed Khammas,(unknown),(unknown),Joseph Stephen Bassi,(unknown)	5
13	First Line Defense Against Spreading New Malware in the Network 2018 ·Ban Mohammed Khammas,(unknown),(unknown),Joseph Stephen Bassi,(unknown),Muhammad Nadzir Marsono	6
14	Metamorphic Malware Detection Based on Support Vector Machine Classification of Malware Sub-Signatures 2016 ·TELKOMNIKA (Telecommunication Computing Electronics and Control) ·Ban Mohammed Khammas,(unknown),(unknown),(unknown),Muhammad Nadzir Marsono	7
15	Incorporating known malware signatures to classify new malware variants in network traffic 2015 ·International Journal of Network Management ·(unknown),Muhammad Nadzir Marsono,Ban Mohammed Khammas,(unknown)	11
16	FEATURE SELECTION AND MACHINE LEARNING CLASSIFICATION FOR MALWARE DETECTION 2015 ·Jurnal Teknologi ·Ban Mohammed Khammas,(unknown),Joseph Stephen Bassi,(unknown),(unknown),Muhammad Nadzir Marsono	33
17	Ambiguity and concepts in real time online internet traffic classification 2014 ·(unknown),(unknown),Ban Mohammed Khammas	1
18	Design a Fault Tolerance for Real Time Distributed System 2012 ·SHILAP Revista de lepidopterología ·Ban Mohammed Khammas	2
19	Design Neural Wireless Sensor Network Using FPGA 2012 ·SHILAP Revista de lepidopterología ·Ban Mohammed Khammas	4
20	FPGA Based Neural Wireless Sensor Network 2012 ·Ban Mohammed Khammas,(unknown)	1

About Ban Mohammed Khammas

Ban Mohammed Khammas is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 23 papers that have together received 390 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (19 papers), Advanced Malware Detection Techniques (18 papers) and Spam and Phishing Detection (7 papers). The work is most often cited by research in Signal Processing (148 citations), Computer Networks and Communications (158 citations) and Control and Systems Engineering (136 citations). Ban Mohammed Khammas has collaborated with scholars based in Iraq, Malaysia and Nigeria. Frequent co-authors include Joseph Stephen Bassi, Afeez Abidemi, David Opeoluwa Oyewola, Emmanuel Gbenga Dada and Muhammad Nadzir Marsono. Their work appears in journals such as SHILAP Revista de lepidopterología, Heliyon and ICT Express.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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