SSA Research GroupSSA Research LabJunaid Akram

Peer-Reviewed Literature

Publications & Research Output

Discover empirical research spanning source-code vulnerability assessment, Android malware analysis, code clones, and automated software verification.

Publications & Research Output Illustration
10

Selected Publications

8

Journal Articles (SCIE Q1/Q2)

2

IEEE Conference Papers

7

Direct DOI / Open Access

Google Scholar Profile ORCID (0000-0003-1752-6124) ResearchGate
Journal2025

An Advanced Ensemble Framework for Defending Against Obfuscated Windows, Android, and IoT Malware

Danish Vasan, Junaid Akram, Mohammad Hammoudeh, Adel F. Ahmed

Applied Soft Computing, Volume 173, 112908

#Malware Security#Code Clone Analysis
DOI Article
Journal2022

Obfuscated Code is Identifiable by a Token Based Clone Detection Technique

Junaid Akram, Danish Vasan, Ping Luo

International Journal of Information and Computer Security, 19(3–4), 254–273

#Code Clone Analysis
DOI Article
Journal2021

DroidMD: An Efficient and Scalable Android Malware Detection Approach at Source Code Level

Junaid Akram, Majid Mumtaz, Gul Jabeen, Ping Luo

International Journal of Information and Computer Security, 16(3/4)

#Malware Security
DOI Article
Journal2021

SQVDT: Scalable Quantitative Vulnerability Detection Technique for Source Code Security Assessment

Junaid Akram, Ping Luo

Software: Practice and Experience, 51(2), 294–318

#Vulnerability Detection
DOI Article
Journal2020

MTHAEL: Cross-Architecture IoT Malware Detection Based on Neural Network Advanced Ensemble Learning

Danish Vasan, Mamoun Alazab, Sitalakshmi, Junaid Akram, Zheng Qin

IEEE Transactions on Computers, 69(11)

#Malware Security
DOI Article
Journal2020

DroidSD: An Efficient Indexed Based Android Applications Similarity Detection Tool

Junaid Akram, Zhendong Shi, Majid Mumtaz, Ping Luo

Journal of Information Science and Engineering, 36, 13–29

#Code Clone Analysis
Peer-Reviewed
Journal2020

How to Build a Vulnerability Benchmark to Overcome Cyber Security Attacks

Junaid Akram, Ping Luo

IET Information Security, 14(1), 60–71

#Vulnerability Detection
DOI Article
Conference2019

VCIPR: Vulnerable Code is Identifiable When a Patch is Released

Junaid Akram, Liang Qi, Ping Luo

IEEE Conference on Software Testing, Validation and Verification (ICST 2019)

#Vulnerability Detection
DOI Article
Conference2018

DroidCC: A Scalable Clone Detection Approach for Android Applications

Junaid Akram, Zhendong Shi, Majid Mumtaz, Ping Luo

IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC 2018)

#Code Clone Analysis
Peer-Reviewed
Journal2015

Data Structure and Algorithm: A Visualized Web Based Courseware Improves Cognitive Learning

Junaid Akram, Fang Luping

International Journal of Digital Information and Wireless Communications, 5(3), 194–202

#Software Verification
Peer-Reviewed
View ICST 2019 conference presentation deck

Research Collaboration

Interested in co-authoring or reviewing research?

Contact Dr Junaid