OpSeq: Android Malware Fingerprinting. - Aisha I. Ali-Gombe; Irfan Ahmed 001; Golden G. Richard III; Vassil Roussev (PPREW@ACSAC, 2015)

Robust Fingerprinting for Relocatable Code. - Irfan Ahmed 001; Vassil Roussev; Aisha I. Ali-Gombe (CODASPY, 2015)

AspectDroid: Android App Analysis System. - Aisha I. Ali-Gombe; Irfan Ahmed 001; Golden G. Richard III; Vassil Roussev (CODASPY, 2016)

Don't Touch that Column: Portable, Fine-Grained Access Control for Android's Native Content Providers. - Aisha I. Ali-Gombe; Golden G. Richard III; Irfan Ahmed 001; Vassil Roussev (WISEC, 2016)

Tipped Off by Your Memory Allocator: Device-Wide User Activity Sequencing from Android Memory Images. - Rohit Bhatia; Brendan Saltaformaggio; Seung Jei Yang; Aisha I. Ali-Gombe; Xiangyu Zhang 001; Dongyan Xu; Golden G. Richard III (NDSS, 2018)

Toward a more dependable hybrid analysis of android malware using aspect-oriented programming. - Aisha I. Ali-Gombe; Brendan Saltaformaggio; J. Ramanujam; Dongyan Xu; Golden G. Richard III (Comput. Secur., 2018)

Memory forensics and the Windows Subsystem for Linux. - Nathan Lewis; Andrew Case; Aisha I. Ali-Gombe; Golden G. Richard III (Digit. Investig., 2018)

DroidScraper: A Tool for Android In-Memory Object Recovery and Reconstruction. - Aisha I. Ali-Gombe; Sneha Sudhakaran; Andrew Case; Golden G. Richard III (RAID, 2019)

HookTracer: A System for Automated and Accessible API Hooks Analysis. - Andrew Case; Mohammad M. Jalalzai; Md Firoz-Ul-Amin; Ryan D. Maggio; Aisha I. Ali-Gombe; Mingxuan Sun; Golden G. Richard III (Digit. Investig., 2019)

App-Agnostic Post-Execution Semantic Analysis of Android In-Memory Forensics Artifacts. - Aisha I. Ali-Gombe; Alexandra Tambaoan; Angela Gurfolino; Golden G. Richard III (ACSAC, 2020)

AmpleDroid Recovering Large Object Files from Android Application Memory. - Sneha Sudhakaran; Aisha I. Ali-Gombe; Augustine Orgah; Andrew Case; Golden G. Richard III (WIFS, 2020)

Hooktracer: Automatic Detection and Analysis of Keystroke Loggers Using Memory Forensics. - Andrew Case; Ryan D. Maggio; Md Firoz-Ul-Amin; Mohammad M. Jalalzai; Aisha I. Ali-Gombe; Mingxuan Sun; Golden G. Richard III (Comput. Secur., 2020)

Object Allocation Pattern as an Indicator for Maliciousness - An Exploratory Analysis. - Adamu Hussaini; Bassam Zahran; Aisha I. Ali-Gombe (CODASPY, 2021)

IIoT-ARAS: IIoT/ICS Automated Risk Assessment System for Prediction and Prevention. - Bassam Zahran; Adamu Hussaini; Aisha I. Ali-Gombe (CODASPY, 2021)

Seance: Divination of tool-breaking changes in forensically important binaries. - Ryan D. Maggio; Andrew Case; Aisha I. Ali-Gombe; Golden G. Richard III (Digit. Investig., 2021)

Modern macOS userland runtime analysis. - Modhuparna Manna; Andrew Case; Aisha I. Ali-Gombe; Golden G. Richard III (Digit. Investig., 2021)

I Don't Know Why You Need My Data: A Case Study of Popular Social Media Privacy Policies. - Elizabeth Miller; Md. Rashedur Rahman; Moinul Hossain; Aisha I. Ali-Gombe (CODASPY, 2022)

Transforming Memory Image to Sound Wave Signals for an Effective IoT Fingerprinting. - Ramyapandian Vijayakanthan; Irfan Ahmed 001; Aisha I. Ali-Gombe (CODASPY, 2022)

User Awareness and Privacy Regarding Instant Games on Facebook. - Stacy Nicholson; Robert J. Hammell; Joyram Chakraborty; Aisha I. Ali-Gombe (HCI (42), 2022)

Intent-aware Permission Architecture: A Model for Rethinking Informed Consent for Android Apps. - Md. Rashedur Rahman; Elizabeth Miller; Moinul Hossain; Aisha I. Ali-Gombe (ICISSP, 2022)

A Reverse Engineering Education Needs Analysis Survey. - Charles R. Barone IV; Robert Serafin; Ilya Shavrov; Ibrahim M. Baggili; Aisha I. Ali-Gombe; Golden G. Richard III; Andrew Case (CoRR, 2022)

Memory analysis of .NET and .Net Core applications. - Modhuparna Manna; Andrew Case; Aisha I. Ali-Gombe; Golden G. Richard III (Digit. Investig., 2022)

I've Got You, Under My Skin: Biohacking Augmentation Implant Forensics. - Steven Seiden 002; Ibrahim M. Baggili; Aisha I. Ali-Gombe (ICDF2C (2), 2023)

Fortifying IoT Devices: AI-Driven Intrusion Detection via Memory-Encoded Audio Signals. - Ramyapandian Vijayakanthan; Karley M. Waguespack; Irfan Ahmed 001; Aisha I. Ali-Gombe (SecDev, 2023)

Security of IT/OT Convergence: Design and Implementation Challenges. - Bassam Zahran; Adamu Hussaini; Aisha I. Ali-Gombe (CoRR, 2023)

cRGB_Mem: At the intersection of memory forensics and machine learning. - Aisha I. Ali-Gombe; Sneha Sudhakaran; Ramyapandian Vijayakanthan; Golden G. Richard III (Digit. Investig., 2023)

SWMAT: Mel-frequency cepstral coefficients-based memory fingerprinting for IoT devices. - Ramyapandian Vijayakanthan; Irfan Ahmed 001; Aisha I. Ali-Gombe (Comput. Secur., 2023)

Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware. - Brandon J. Walton; Mst. Eshita Khatun; James M. Ghawaly; Aisha I. Ali-Gombe (ACSAC Workshops, 2024)

User Privacy in the Digital Playground: An In-Depth Investigation of Facebook Instant Games. - Sideeq Bello; Babangida Bappah; Nicholas R. Tanet; Arabelle S. Betzwieser; Aisha I. Ali-Gombe (SecDev, 2024)

Enhancing privacy policy comprehension through Privacify: A user-centric approach using advanced language models. - Justin Woodring; Katherine Perez; Aisha I. Ali-Gombe (Comput. Secur., 2024)

MARS: The first line of defense for IoT incident response. - Karley M. Waguespack; Kaitlyn J. Smith; Olame A. Muliri; Ramyapandian Vijayakanthan; Aisha I. Ali-Gombe (Forensic Sci. Int. Digit. Investig., 2024)

WaveSleuth: Retrospective PLC Memory for Anomaly Detection in Industrial Control Systems. - Nehal A. Mansour; Ramyapandian Vijayakanthan; Adeen Ayub; Aisha I. Ali-Gombe; Irfan Ahmed 001 (HOST, 2025)