Using Constraints with Action Language for Model Evolution. - Shahid Alam; Samuel A. Ajila (Software Engineering Research and Practice, 2007)

Using a Formal Language Constructs for Software Model Evolution. - Samuel A. Ajila; Shahid Alam (ICSC, 2009)

MAIL: Malware Analysis Intermediate Language: a step towards automating and optimizing malware detection. - Shahid Alam; R. Nigel Horspool; Issa Traoré (SIN, 2013)

A Case Study: Are Traditional Face-To-Face Lectures Still Relevant When Teaching Engineering Courses? - Shahid Alam; LillAnne Jackson (Int. J. Eng. Pedagog., 2013)

MARD: A Framework for Metamorphic Malware Analysis and Real-Time Detection. - Shahid Alam; R. Nigel Horspool; Issa Traoré (AINA, 2014)

In-Cloud Malware Analysis and Detection: State of the Art. - Shahid Alam; Ibrahim Sogukpinar; Issa Traoré; Yvonne Coady (SIN, 2014)

Current Trends and the Future of Metamorphic Malware Detection. - Shahid Alam; Issa Traoré; Ibrahim Sogukpinar (SIN, 2014)

Is Fortran Still Relevant? Comparing Fortran with Java and C++. - Shahid Alam (CoRR, 2014)

A Framework for Metamorphic Malware Analysis and Real-Time Detection. - Shahid Alam (2014)

A Survey: Software-Managed On-Chip Memories. - Shahid Alam; R. Nigel Horspool (Comput. Informatics, 2015)

Annotated Control Flow Graph for Metamorphic Malware Detection. - Shahid Alam; Issa Traoré; Ibrahim Sogukpinar (Comput. J., 2015)

A framework for metamorphic malware analysis and real-time detection. - Shahid Alam; R. Nigel Horspool; Issa Traoré; Ibrahim Sogukpinar (Comput. Secur., 2015)

Sliding window and control flow weight for metamorphic malware detection. - Shahid Alam; Ibrahim Sogukpinar; Issa Traoré; R. Nigel Horspool (J. Comput. Virol. Hacking Tech., 2015)

SUIS: An online graphical Signature-Based User Identification System. - Shahid Alam (DICTAP, 2016)

DroidClone: Detecting android malware variants by exposing code clones. - Shahid Alam; Ryan D. Riley; Ibrahim Sogukpinar; Necmeddin Carkaci (DICTAP, 2016)

DroidNative: Semantic-Based Detection of Android Native Code Malware. - Shahid Alam; Zhengyang Qu; Ryan D. Riley; Yan Chen 004; Vaibhav Rastogi (CoRR, 2016)

DyDroid: Measuring Dynamic Code Loading and Its Security Implications in Android Applications. - Zhengyang Qu; Shahid Alam; Yan Chen 004; Xiaoyong Zhou; Wangjun Hong; Ryan D. Riley (DSN, 2017)

Seeing Trees in a Forest for Improving Syntactic and Semantic Parsing. - Yukiko Sasaki Alam; Shahid Alam (ICSC, 2017)

DroidNative: Automating and optimizing detection of Android native code malware variants. - Shahid Alam; Zhengyang Qu; Ryan D. Riley; Yan Chen 004; Vaibhav Rastogi (Comput. Secur., 2017)

Sieving Fake News From Genuine: A Synopsis. - Shahid Alam; Abdulaziz Ravshanbekov (CoRR, 2019)

Mining nested flow of dominant APIs for detecting android malware. - Shahid Alam; Soltan Abed Alharbi; Serdar Yildirim (Comput. Networks, 2020)

DroidClone: Attack of the android malware clones - a step towards stopping them. - Shahid Alam; Ibrahim Sogukpinar (Comput. Sci. Inf. Syst., 2021)

A Recipe for Social Media Analysis. - Shahid Alam; Juvariya Khan (CoRR, 2021)

DroidMorph: Are We Ready to Stop the Attack of Android Malware Clones? - Shahid Alam; Muhammad Zain ul Abideen; Shahzad Saleem (CoRR, 2021)

Applying Natural Language Processing for detecting malicious patterns in Android applications. - Shahid Alam (Digit. Investig., 2021)

Cybersecurity: Past, Present and Future. - Shahid Alam (CoRR, 2022)

MAIL: Malware Analysis Intermediate Language. - Shahid Alam (CoRR, 2022)

SIFT - File Fragment Classification Without Metadata. - Shahid Alam (CoRR, 2023)

Mining android bytecodes through the eyes of gabor filters for detecting malware. - Shahid Alam; Alper Kamil Demir (Int. Arab J. Inf. Technol., 2023)

LAM: Scrutinizing Leading APIs For Detecting Suspicious Call Sequences. - Shahid Alam (Comput. J., 2023)

Enhancing AI-Human Collaborative Decision-Making in Industry 4.0 Management Practices. - Shahid Alam; Mohammad Faisal Khan (IEEE Access, 2024)

XAI-CF - Examining the Role of Explainable Artificial Intelligence in Cyber Forensics. - Shahid Alam; Zeynep Altiparmak (CoRR, 2024)

IfNot: An approach towards mitigating interest flooding attacks in Named Data Networking of Things. - Sedat Bilgili; Alper Kamil Demir; Shahid Alam (Internet Things, 2024)

SIFT: Sifting file types - application of explainable artificial intelligence in cyber forensics. - Shahid Alam; Alper Kamil Demir (Cybersecur., 2024)

A Deep Learning-Based Ensemble Framework for Robust Android Malware Detection. - Sainag Nethala; Pronoy Chopra; Khaja Kamaluddin; Shahid Alam; Soltan Alharbi; Mohammad Salih Alsaffar (IEEE Access, 2025)

SIFG: an ensemble model for sieving fake news from genuine without metadata by combining syntactic and semantic features. - Shahid Alam; Samina Khalid (Inf. Secur. J. A Glob. Perspect., 2025)