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Full-Text Articles in Physical Sciences and Mathematics

Predict The Failure Of Hydraulic Pumps By Different Machine Learning Algorithms, Yifei Zhou, Monika Ivantysynova, Nathan Keller Aug 2018

Predict The Failure Of Hydraulic Pumps By Different Machine Learning Algorithms, Yifei Zhou, Monika Ivantysynova, Nathan Keller

The Summer Undergraduate Research Fellowship (SURF) Symposium

Pump failure is a general concerned problem in the hydraulic field. Once happening, it will cause a huge property loss and even the life loss. The common methods to prevent the occurrence of pump failure is by preventative maintenance and breakdown maintenance, however, both of them have significant drawbacks. This research focuses on the axial piston pump and provides a new solution by the prognostic of pump failure using the classification of machine learning. Different kinds of sensors (temperature, acceleration and etc.) were installed into a good condition pump and three different kinds of damaged pumps to measure 10 of …


Contents, Adfsl May 2018

Contents, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.


Front Matter, Adfsl May 2018

Front Matter, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.


Analysis Of Data Erasure Capability On Sshd Drives For Data Recovery, Andrew Blyth May 2018

Analysis Of Data Erasure Capability On Sshd Drives For Data Recovery, Andrew Blyth

Annual ADFSL Conference on Digital Forensics, Security and Law

Data Protection and Computer Forensics/Anti-Forensics has now become a critical area of concern for organizations. A key element to this is how data is sanitized at end of life. In this paper we explore Hybrid Solid State Hybrid Drives (SSHD) and the impact that various Computer Forensics and Data Recovery techniques have when performing data erasure upon a SSHD.


Knowledge Expiration In Security Awareness Training, Tianjian Zhang May 2018

Knowledge Expiration In Security Awareness Training, Tianjian Zhang

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.


Positive Identification Of Lsb Image Steganography Using Cover Image Comparisons, Michael Pelosi, Nimesh Poudel, Pratap Lamichhane, Devon Lam, Gary Kessler, Joshua Macmonagle May 2018

Positive Identification Of Lsb Image Steganography Using Cover Image Comparisons, Michael Pelosi, Nimesh Poudel, Pratap Lamichhane, Devon Lam, Gary Kessler, Joshua Macmonagle

Annual ADFSL Conference on Digital Forensics, Security and Law

In this paper we introduce a new software concept specifically designed to allow the digital forensics professional to clearly identify and attribute instances of LSB image steganography by using the original cover image in side-by-side comparison with a suspected steganographic payload image. The “CounterSteg” software allows detailed analysis and comparison of both the original cover image and any modified image, using sophisticated bit- and color-channel visual depiction graphics. In certain cases, the steganographic software used for message transmission can be identified by the forensic analysis of LSB and other changes in the payload image. The paper demonstrates usage and typical …


Exploring The Use Of Graph Databases To Catalog Artifacts For Client Forensics, Rose Shumba May 2018

Exploring The Use Of Graph Databases To Catalog Artifacts For Client Forensics, Rose Shumba

Annual ADFSL Conference on Digital Forensics, Security and Law

Cloud computing has revolutionized the methods by which digital data is stored, processed, and transmitted. It is providing users with data storage and processing services, enabling access to resources through multiple devices. Although organizations continue to embrace the advantages of flexibility and scalability offered by cloud computing, insider threats are becoming a serious concern as cited by security researchers. Insiders can use authorized access to steal sensitive information, calling for the need for an investigation. This concept paper describes research in progress towards developing a Neo4j graph database tool to enhance client forensics. The tool, with a Python interface, allows …


Forensic Analysis Of The Exfat Artifacts, Yves Vandermeer, An Lekhac, Tahar Kechadi, Joe Carthy May 2018

Forensic Analysis Of The Exfat Artifacts, Yves Vandermeer, An Lekhac, Tahar Kechadi, Joe Carthy

Annual ADFSL Conference on Digital Forensics, Security and Law

Although keeping some basic concepts inherited from FAT32, the exFAT file system introduces many differences, such as the new mapping scheme of directory entries. The combination of exFAT mapping scheme with the allocation of bitmap files and the use of FAT leads to new forensic possibilities. The recovery of deleted files, including fragmented ones and carving becomes more accurate compared with former forensic processes. Nowadays, the accurate and sound forensic analysis is more than ever needed, as there is a high risk of erroneous interpretation. Indeed, most of the related work in the literature on exFAT structure and forensics, is …


Unmanned Aerial Vehicle Forensic Investigation Process: Dji Phantom 3 Drone As A Case Study, Alan Roder, Kim-Kwang Raymond Choo, Nhien-A Le-Khac May 2018

Unmanned Aerial Vehicle Forensic Investigation Process: Dji Phantom 3 Drone As A Case Study, Alan Roder, Kim-Kwang Raymond Choo, Nhien-A Le-Khac

Annual ADFSL Conference on Digital Forensics, Security and Law

Drones (also known as Unmanned Aerial Vehicles – UAVs) are a potential source of evidence in a digital investigation, partly due to their increasing popularity in our society. However, existing UAV/drone forensics generally rely on conventional digital forensic investigation guidelines such as those of ACPO and NIST, which may not be entirely fit-for-purpose. In this paper, we identify the challenges associated with UAV/drone forensics. We then explore and evaluate existing forensic guidelines, in terms of their effectiveness for UAV/drone forensic investigations. Next, we present our set of guidelines for UAV/drone investigations. Finally, we demonstrate how the proposed guidelines can be …


Detection And Recovery Of Anti-Forensic (Vault) Applications On Android Devices, Michaila Duncan, Umit Karabiyik May 2018

Detection And Recovery Of Anti-Forensic (Vault) Applications On Android Devices, Michaila Duncan, Umit Karabiyik

Annual ADFSL Conference on Digital Forensics, Security and Law

Significant number of mobile device users currently employ anti-forensics applications, also known as vault or locker applications, on their mobile devices in order to hide files such as photos. Because of this, investigators are required to spend a large portion of their time manually looking at the applications installed on the device. Currently, there is no automated method of detecting these anti-forensics applications on an Android device. This work presents the creation and testing of a vault application detection system to be used on Android devices. The main goal of this work is twofold: (i) Detecting and reporting the presence …


Hypervisor-Based Active Data Protection For Integrity And Confidentiality Of Dynamically Allocated Memory In Windows Kernel, Igor Korkin May 2018

Hypervisor-Based Active Data Protection For Integrity And Confidentiality Of Dynamically Allocated Memory In Windows Kernel, Igor Korkin

Annual ADFSL Conference on Digital Forensics, Security and Law

One of the main issues in the OS security is providing trusted code execution in an untrusted environment. During executing, kernel-mode drivers dynamically allocate memory to store and process their data: Windows core kernel structures, users’ private information, and sensitive data of third-party drivers. All this data can be tampered with by kernel-mode malware. Attacks on Windows-based computers can cause not just hiding a malware driver, process privilege escalation, and stealing private data but also failures of industrial CNC machines. Windows built-in security and existing approaches do not provide the integrity and confidentiality of the allocated memory of third-party drivers. …


Malware For Macintosh, Nathan C. Shinabarger, Josiah E. Bills, Richard W. Lively, Noah S. Shinabarger Apr 2018

Malware For Macintosh, Nathan C. Shinabarger, Josiah E. Bills, Richard W. Lively, Noah S. Shinabarger

The Research and Scholarship Symposium (2013-2019)

Technology is a cornerstone of modern society. Unfortunately, it seems that every new piece of technology is accompanied by five computer-security breaches elsewhere. Most people associate hacks with Windows computers. This is a problem because Apple computers, and other non-Windows systems, are also extremely vulnerable to attacks and risk being compromised. Dolos is a piece of malware we developed intended to exploit the macOS Sierra operating system. It provides a framework for running exploits and comes built in with certain control and data exfiltration capabilities. Dolos also helps destroy the misconception of "the impenetrable Macintosh computer" by showing that Apple …


Back Matter, Adfsl Feb 2018

Back Matter, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.


Front Matter, Adfsl Feb 2018

Front Matter, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.


Contents, Adfsl Feb 2018

Contents, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.