Computer Engineering Commons^™

Founding The Domain Of Ai Forensics, Ibrahim Baggili, Vahid Behzadan

Electrical & Computer Engineering and Computer Science Faculty Publications

With the widespread integration of AI in everyday and critical technologies, it seems inevitable to witness increasing instances of failure in AI systems. In such cases, there arises a need for technical investigations that produce legally acceptable and scientifically indisputable findings and conclusions on the causes of such failures. Inspired by the domain of cyber forensics, this paper introduces the need for the establishment of AI Forensics as a new discipline under AI safety. Furthermore, we propose a taxonomy of the subfields under this discipline, and present a discussion on the foundational challenges that lay ahead of this new research …

Map My Murder: A Digital Forensic Study Of Mobile Health And Fitness Applications, Courtney Hassenfeldt, Shabana Baig, Ibrahim Baggili, Xiaolu Zhang

Electrical & Computer Engineering and Computer Science Faculty Publications

The ongoing popularity of health and fitness applications catalyzes

the need for exploring forensic artifacts produced by them. Sensitive

Personal Identifiable Information (PII) is requested by the applications

during account creation. Augmenting that with ongoing

user activities, such as the user’s walking paths, could potentially

create exculpatory or inculpatory digital evidence. We conducted

extensive manual analysis and explored forensic artifacts produced

by (n = 13) popular Android mobile health and fitness applications.

We also developed and implemented a tool that aided in the timely

acquisition and identification of artifacts from the examined applications.

Additionally, our work explored the type of …

Iot Ignorance Is Digital Forensics Research Bliss: A Survey To Understand Iot Forensics Definitions, Challenges And Future Research Directions, Tina Wu, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

Interactions with IoT devices generates vast amounts of personal data that can be used as a source of evidence in digital investigations. Currently, there are many challenges in IoT forensics such as the difficulty in acquiring and analysing IoT data/devices and the lack IoT forensic tools. Besides technical challenges, there are many concepts in IoT forensics that have yet to be explored such as definitions, experience and capability in the analysis of IoT data/devices and current/future challenges. A deeper understanding of these various concepts will help progress the field. To achieve this goal, we conducted a survey which received 70 …

On Efficiency Of Artifact Lookup Strategies In Digital Forensics, Lorenz Liebler, Patrick Schmitt, Harald Baier, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

In recent years different strategies have been proposed to handle the problem of ever-growing digital forensic databases. One concept to deal with this data overload is data reduction, which essentially means to separate the wheat from the chaff, e.g., to filter in forensically relevant data. A prominent technique in the context of data reduction are hash-based solutions. Data reduction is achieved because hash values (of possibly large data input) are much smaller than the original input. Today's approaches of storing hash-based data fragments reach from large scale multithreaded databases to simple Bloom filter representations. One main focus was put on …

Immersive Virtual Reality Attacks And The Human Joystick, Peter Casey, Ibrahim Baggili, Ananya Yarramreddy

Electrical & Computer Engineering and Computer Science Faculty Publications

This is one of the first accounts for the security analysis of consumer immersive Virtual Reality (VR) systems. This work breaks new ground, coins new terms, and constructs proof of concept implementations of attacks related to immersive VR. Our work used the two most widely adopted immersive VR systems, the HTC Vive, and the Oculus Rift. More specifically, we were able to create attacks that can potentially disorient users, turn their Head Mounted Display (HMD) camera on without their knowledge, overlay images in their field of vision, and modify VR environmental factors that force them into hitting physical objects and …

Frameup: An Incriminatory Attack On Storj: A Peer To Peer Blockchain Enabled Distributed Storage System, Xiaolu Zhang, Justin Grannis, Ibrahim Baggili, Nicole Lang Beebe

Electrical & Computer Engineering and Computer Science Faculty Publications

In this work we present a primary account of frameup, an incriminatory attack made possible because of existing implementations in distributed peer to peer storage. The frameup attack shows that an adversary has the ability to store unencrypted data on the hard drives of people renting out their hard drive space. This is important to forensic examiners as it opens the door for possibly framing an innocent victim. Our work employs Storj as an example technology, due to its popularity and market size. Storj is a blockchain enabled system that allows people to rent out their hard drive space …

Timeline2gui: A Log2timeline Csv Parser And Training Scenarios, Mark Debinski, Parvathy Mohan, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

Crimes involving digital evidence are getting more complex due to the increasing storage capacities and utilization of devices. Event reconstruction (i.e., understanding the timeline) is an essential step for investigators to understand a case where a prominent tool is Log2Timeline (a tool that creates super timelines which is a combination of several log files and events throughout a system). While these timelines provide great evidence and help to understand a case, they are complex and require tools as well as training scenarios. In this paper we present Timeline2GUI an easy-to-use python implementation to analyze CSV log files create by Log2Timeline. …

A Practitioner Survey Exploring The Value Of Forensic Tools, Ai, Filtering, & Safer Presentation For Investigating Child Sexual Abuse Material, Laura Sanchez, Cinthya Grajeda, Ibrahim Baggili, Cory Hall

Electrical & Computer Engineering and Computer Science Faculty Publications

For those investigating cases of Child Sexual Abuse Material (CSAM), there is the potential harm of experiencing trauma after illicit content exposure over a period of time. Research has shown that those working on such cases can experience psychological distress. As a result, there has been a greater effort to create and implement technologies that reduce exposure to CSAM. However, not much work has explored gathering insight regarding the functionality, effectiveness, accuracy, and importance of digital forensic tools and data science technologies from practitioners who use them. This study focused specifically on examining the value practitioners give to the tools …

Inception: Virtual Space In Memory Space In Real Space, Peter Casey, Rebecca Lindsay-Decusati, Ibrahim Baggili, Frank Breitinger

Electrical & Computer Engineering and Computer Science Faculty Publications

Virtual Reality (VR) has become a reality. With the technology's increased use cases, comes its misuse. Malware affecting the Virtual Environment (VE) may prevent an investigator from ascertaining virtual information from a physical scene, or from traditional “dead” analysis. Following the trend of antiforensics, evidence of an attack may only be found in memory, along with many other volatile data points. Our work provides the primary account for the memory forensics of Immersive VR systems, and in specific the HTC Vive. Our approach is capable of reconstituting artifacts from memory that are relevant to the VE, and is also capable …