OS and Networks Commons^™

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

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 …

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

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 …

Back Matter, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.

Front Matter, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.

Contents, Adfsl

Annual ADFSL Conference on Digital Forensics, Security and Law

No abstract provided.

Denoising Autoencoders For Fast Real-Time Traffic Estimation On Urban Road Networks, Soham Ghosh, Muhammad Tayyab Asif, Laura Wynter

Research Collection School Of Computing and Information Systems

We propose a new method for traffic state estimation applicable to large urban road networks where a significant amount of the real-time and historical data is missing. Our proposed approach involves estimating the missing historical data through low-rank matrix completion, coupled with an online estimation approach for estimating the missing real-time data. In contrast to the traditional approach, the proposed method does not require re-calibration every time new streaming data becomes available. Empirical results from two metropolitan cities show that the proposed two-step approach provides comparable accuracy to a state of the art benchmark method while achieving two orders of …

Harnessing Predictive Models For Assisting Network Forensic Investigations Of Dns Tunnels, Irvin Homem, Panagiotis Papapetrou

Annual ADFSL Conference on Digital Forensics, Security and Law

In recent times, DNS tunneling techniques have been used for malicious purposes, however network security mechanisms struggle to detect them. Network forensic analysis has been proven effective, but is slow and effort intensive as Network Forensics Analysis Tools struggle to deal with undocumented or new network tunneling techniques. In this paper, we present a machine learning approach, based on feature subsets of network traffic evidence, to aid forensic analysis through automating the inference of protocols carried within DNS tunneling techniques. We explore four network protocols, namely, HTTP, HTTPS, FTP, and POP3. Three features are extracted from the DNS tunneled traffic: …

Kelihos Botnet: A Never-Ending Saga, Arsh Arora, Max Gannon, Gary Warner

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper investigates the recent behavior of the Kelihos botnet, a spam-sending botnet that accounts for many millions of emails sent each day. The paper demonstrates how a team of students are able to perform a longitudinal malware study, making significant observations and contributions to the understanding of a major botnet using tools and techniques taught in the classroom. From this perspective the paper has two objectives: encouragement and observation. First, by providing insight into the methodology and tools used by student researchers to document and understand a botnet, the paper strives to embolden other academic programs to follow a …

Proactive And Reactive Strategies To Handle Surges In Urban Crowds, Jiali Du

Dissertations and Theses Collection

Most urban infrastructures are built to cater a planned capacity, yet surges in usage do happen in times (can be either expected or unexpected), and this has long been a major challenge for urban planner. In this thesis, I propose to study approaches handle surges in urban crowd movement. In particular, the surges in demand studied are limited to situations where a large crowd of commuters/visitors gather in a small vicinity, and I am concerned with their movements both within the vicinity and out of the vicinity (the egress from the vicinity). Significant crowd build-ups and congestions can be observed …

Bike Route Choice Modeling Using Gps Data Without Choice Sets Of Paths, Maëlle Zimmermann, Tien Mai, Emma Frejinger

Research Collection School Of Computing and Information Systems

Concerned by the nuisances of motorized travel on urban life, policy makers are faced with the challenge of making cycling a more attractive alternative for everyday transportation. Route choice models can help achieve this objective by gaining insights into the trade-offs cyclists make when choosing their routes and by allowing the effect of infrastructure improvements to be analyzed. We estimate a link-based bike route choice model from a sample of GPS observations in the city of Eugene on a network comprising over 40,000 links. The so-called recursive logit (RL) model (Fosgerau et al., 2013) does not require to sample any …

Sim Card Forensics: Digital Evidence, Nada Ibrahim, Nuha Al Naqbi, Farkhund Iqbal, Omar Alfandi

Annual ADFSL Conference on Digital Forensics, Security and Law

With the rapid evolution of the smartphone industry, mobile device forensics has become essential in cybercrime investigation. Currently, evidence forensically-retrieved from a mobile device is in the form of call logs, contacts, and SMSs; a mobile forensic investigator should also be aware of the vast amount of user data and network information that are stored in the mobile SIM card such as ICCID, IMSI, and ADN. The aim of this study is to test various forensic tools to effectively gather critical evidence stored on the SIM card. In the first set of experiments, we compare the selected forensic tools in …

Assessing The Gap: Measure The Impact Of Phishing On An Organization, Brad Wardman

Annual ADFSL Conference on Digital Forensics, Security and Law

Phishing has become one of the most recognized words associated with cybercrime. As more organizations are being targeted by phishing campaigns, there are more options within the industry to deter such attacks. However, there is little research into how much damage these campaigns are causing organizations. This paper will show how financial organizations can be impacted by phishing and present a method for accurately quantifying resultant monetary losses. The methodology presented in this paper can be adapted to other organizations in order to quantify phishing losses across industries.

Keywords: phishing, cybercrime, economics

Wban Security Management In Healthcare Enterprise Environments, Karina Bahena, Manghui Tu

Annual ADFSL Conference on Digital Forensics, Security and Law

As healthcare data are pushed online, consumers have raised big concerns on the breach of their personal information. Law and regulations have placed businesses and public organizations under obligations to take actions to prevent such data breaches. Various vulnerabilities have been identified in healthcare enterprise environments, in which the Wireless Body Area Networks (WBAN) remains to be a major vulnerability, which can be easily taken advantage of by determined adversaries. Thus, vulnerabilities of WBAN systems and the effective countermeasure mechanisms to secure WBAN are urgently needed. In this research, first, the architecture of WBAN system has been explored, and the …

Forensics Analysis Of Privacy Of Portable Web Browsers, Ahmad Ghafarian

Annual ADFSL Conference on Digital Forensics, Security and Law

Web browser vendors offer a portable web browser option which is considered as one of the features that provides user privacy. Portable web browser is a browser that can be launched from a USB flash drive without the need for its installation on the host machine. Most popular web browsers have portable versions of their browsers as well. Portable web browsing poses a great challenge to computer forensic investigators who try to reconstruct the past browsing history, in case of any computer incidence. This research examines various sources in the host machine such as physical memory, temporary, recent, event files, …

Reverse Engineering A Nit That Unmasks Tor Users, Matthew Miller, Joshua Stroschein, Ashley Podhradsky

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper is a case study of a forensic investigation of a Network Investigative Technique (NIT) used by the FBI to deanonymize users of a The Onion Router (Tor) Hidden Service. The forensic investigators were hired by the defense to determine how the NIT worked. The defendant was ac- cused of using a browser to access illegal information. The authors analyzed the source code, binary files and logs that were used by the NIT. The analysis was used to validate that the NIT collected only necessary and legally authorized information. This paper outlines the publicly available case details, how the …

Malware In The Mobile Device Android Environment, Diana Hintea, Robert Bird, Andrew Walker

Annual ADFSL Conference on Digital Forensics, Security and Law

exploit smartphone operating systems has exponentially expanded. Android has become the main target to exploit due to having the largest install base amongst the smartphone operating systems and owing to the open access nature in which application installations are permitted. Many Android users are unaware of the risks associated with a malware infection and to what level current malware scanners protect them. This paper tests how efficient the currently available malware scanners are. To achieve this, ten representative Android security products were selected and tested against a set of 5,560 known and categorized Android malware samples. The tests were carried …

Forensic Analysis Of Smartphone Applications For Privacy Leakage, Diana Hintea, Chrysanthi Taramonli, Robert Bird, Rezhna Yusuf

Annual ADFSL Conference on Digital Forensics, Security and Law

Smartphone and tablets are personal devices that have diffused to near universal ubiquity in recent years. As Smartphone users become more privacy-aware and -conscious, research is needed to understand how “leakage” of private information (personally identifiable information – PII) occurs. This study explores how leakage studies in Droid devices should be adapted to Apple iOS devices. The OWASP Zed Attack Proxy (ZAP) is examined for 50 apps in various categories. This study confirms that: (1) most apps transmit unencrypted sensitive PII, (2) SSL is used by some recipient websites, but without corresponding app compliance with SSL, and (3) most apps …

Inferring Previously Uninstalled Applications From Residual Partial Artifacts, Jim Jones, Tahir Khan, Kathryn Laskey, Alex Nelson, Mary Laamanen, Douglas White

Annual ADFSL Conference on Digital Forensics, Security and Law

In this paper, we present an approach and experimental results to suggest the past presence of an application after the application has been uninstalled and the system has remained in use. Current techniques rely on the recovery of intact artifacts and traces, e.g., whole files, Windows Registry entries, or log file entries, while our approach requires no intact artifact recovery and leverages trace evidence in the form of residual partial files. In the case of recently uninstalled applications or an instrumented infrastructure, artifacts and traces may be intact and complete. In most cases, however, digital artifacts and traces are al- …

One-Time Pad Encryption Steganography System, Michael J. Pelosi, Gary Kessler, Michael Scott S. Brown

Annual ADFSL Conference on Digital Forensics, Security and Law

In this paper we introduce and describe a novel approach to adaptive image steganography which is combined with One-Time Pad encryption, and demonstrate the software which implements this methodology. Testing using the state-of-the-art steganalysis software tool StegExpose concludes the image hiding is reliably secure and undetectable using reasonably-sized message payloads (≤25% message bits per image pixel; bpp). Payload image file format outputs from the software include PNG, BMP, JP2, JXR, J2K, TIFF, and WEBP. A variety of file output formats is empirically important as most steganalysis programs will only accept PNG, BMP, and possibly JPG, as the file inputs.

Keywords: …

Applying Grounded Theory Methods To Digital Forensics Research, Ahmed Almarzooqi, Andrew Jones, Richard Howley

Annual ADFSL Conference on Digital Forensics, Security and Law

Deciding on a suitable research methodology is challenging for researchers. In this paper, grounded theory is presented as a systematic and comprehensive qualitative methodology in the emergent field of digital forensics research. This paper applies grounded theory in a digital forensics research project undertaken to study how organisations build and manage digital forensics capabilities. This paper gives a step-by-step guideline to explain the procedures and techniques of using grounded theory in digital forensics research. The paper gives a detailed explanation of how the three grounded theory coding methods (open, axial, and selective coding) can be used in digital forensics research. …

Covert6: A Tool To Corroborate The Existence Of Ipv6 Covert Channels, Raymond A. Hansen, Lourdes Gino, Dominic Savio

Annual ADFSL Conference on Digital Forensics, Security and Law

Covert channels are any communication channel that can be exploited to transfer information in a manner that violates the system’s security policy. Research in the field has shown that, like many communication channels, IPv4 and the TCP/IP protocol suite have been susceptible to covert channels, which could be exploited to leak data or be used for anonymous communications. With the introduction of IPv6, researchers are acutely aware that many vulnerabilities of IPv4 have been remediated in IPv6. However, a proof of concept covert channel system was demonstrated in 2006. A decade later, IPv6 and its related protocols have undergone major …

Acceleration Of Statistical Detection Of Zero-Day Malware In The Memory Dump Using Cuda-Enabled Gpu Hardware, Igor Korkin, Iwan Nesterow

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper focuses on the anticipatory enhancement of methods of detecting stealth software. Cyber security detection tools are insufficiently powerful to reveal the most recent cyber-attacks which use malware. In this paper, we will present first an idea of the highest stealth malware, as this is the most complicated scenario for detection because it combines both existing anti-forensic techniques together with their potential improvements. Second, we will present new detection methods which are resilient to this hidden prototype. To help solve this detection challenge, we have analyzed Windows’ memory content using a new method of Shannon Entropy calculation; methods of …

Using Computer Behavior Profiles To Differentiate Between Users In A Digital Investigation, Shruti Gupta, Marcus Rogers

Annual ADFSL Conference on Digital Forensics, Security and Law

Most digital crimes involve finding evidence on the computer and then linking it to a suspect using login information, such as a username and a password. However, login information is often shared or compromised. In such a situation, there needs to be a way to identify the user without relying exclusively on login credentials. This paper introduces the concept that users may show behavioral traits which might provide more information about the user on the computer. This hypothesis was tested by conducting an experiment in which subjects were required to perform common tasks on a computer, over multiple sessions. The …

Current Challenges And Future Research Areas For Digital Forensic Investigation, David Lillis, Brett A. Becker, Tadhg O’Sullivan, Mark Scanlon

Annual ADFSL Conference on Digital Forensics, Security and Law

Given the ever-increasing prevalence of technology in modern life, there is a corresponding increase in the likelihood of digital devices being pertinent to a criminal investigation or civil litigation. As a direct consequence, the number of investigations requiring digital forensic expertise is resulting in huge digital evidence backlogs being encountered by law enforcement agencies throughout the world. It can be anticipated that the number of cases requiring digital forensic analysis will greatly increase in the future. It is also likely that each case will require the analysis of an increasing number of devices including computers, smartphones, tablets, cloud-based services, Internet …

Forensic Analysis Of Ares Galaxy Peer-To-Peer Network, Frank Kolenbrander, Nhien-An Le-Khac, Tahar Kechadi

Annual ADFSL Conference on Digital Forensics, Security and Law

Child Abuse Material (CAM) is widely available on P2P networks. Over the last decade several tools were made for 24/7 monitoring of peer-to-peer (P2P) networks to discover suspects that use these networks for downloading and distribution of CAM. For some countries the amount of cases generated by these tools is so great that Law Enforcement (LE) just cannot handle them all. This is not only leading to backlogs and prioritizing of cases but also leading to discussions about the possibility of disrupting these networks and sending warning messages to potential CAM offenders. Recently, investigators are reporting that they are creating …

Keynote Speaker, Chuck Easttom

Annual ADFSL Conference on Digital Forensics, Security and Law

Conference Keynote Speaker, Chuck Easttom

Tracking Criminals On Facebook: A Case Study From A Digital Forensics Reu Program, Daniel Weiss, Gary Warner

Annual ADFSL Conference on Digital Forensics, Security and Law

The 2014 Digital Forensics Research Experience for Undergraduates (REU) Program at the University of Alabama at Birmingham (UAB) focused its summer efforts on tracking criminal forums and Facebook groups. The UAB-REU Facebook team was provided with a list of about 60 known criminal groups on Facebook, with a goal to track illegal information posted in these groups and ultimately store the information in a searchable database for use by digital forensic analysts. Over the course of about eight weeks, the UAB-REU Facebook team created a database with over 400 Facebook groups conducting criminal activity along with over 100,000 unique users …

Towards A Digital Forensics Competency-Based Program: Making Assessment Count, Rose Shumba

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper describes an approach that UMUC has initiated to revise its graduate programs to a Competency-Based Education (CBE) curriculum. The approach, which is Learning Demonstration (LD) centric, includes the identification of learning goals and competences, identification and description of the LDs, mapping of the LDs to the competences, scripting the LDs, placing the LDs into the respective courses, validating the developed materials, and the development of the open learning resources. Programs in the Cybersecurity and Information Assurance Department, including the Digital Forensics and Cyber Investigations program, are being revised. An LD centric approach to curriculum development helps align programs …