OS and Networks Commons^™

Hot Zone Identification: Analyzing Effects Of Data Sampling On Spam Clustering, Rasib Khan, Mainul Mizan, Ragib Hasan, Alan Sprague

Annual ADFSL Conference on Digital Forensics, Security and Law

Email is the most common and comparatively the most efficient means of exchanging information in today's world. However, given the widespread use of emails in all sectors, they have been the target of spammers since the beginning. Filtering spam emails has now led to critical actions such as forensic activities based on mining spam email. The data mine for spam emails at the University of Alabama at Birmingham is considered to be one of the most prominent resources for mining and identifying spam sources. It is a widely researched repository used by researchers from different global organizations. The usual process …

Investigative Techniques Of N-Way Vendor Agreement And Network Analysis Demonstrated With Fake Antivirus, Gary Warner, Mike Nagy, Kyle Jones, Kevin Mitchem

Annual ADFSL Conference on Digital Forensics, Security and Law

Fake AntiVirus (FakeAV) malware experienced a resurgence in the fall of 2013 after falling out of favor after several high profile arrests. FakeAV presents two unique challenges to investigators. First, because each criminal organization running a FakeAV affiliate system regularly alters the appearance of their system, it is sometimes difficult to know whether an incoming criminal complaint or malware sample is related to one ring or the other. Secondly, because FakeAV is delivered in a “Pay Per Install” affiliate model, in addition to the ring-leaders of each major ring, there are many high-volume malware infection rings who are all using …

Work In Progress: An Architecture For Network Path Reconstruction Via Backtraced Ospf Lsdb Synchronization, Raymond A. Hansen

Annual ADFSL Conference on Digital Forensics, Security and Law

There has been extensive work in crime scene reconstruction of physical locations, and much is known in terms of digital forensics of computing devices. However, the network has remained a nebulous combination of entities that are largely ignored during an investigation due to the transient nature of the data that flows through the networks. This paper introduces an architecture for network path reconstruction using the network layer reachability information shared via OSPF Link State Advertisements and the routines and functions of OSPF::rt_sched() as applied to the construction of identical Link State Databases for all routers within an Area.

Application Of Toral Automorphisms To Preserve Confidentiality Principle In Video Live Streaming, Enrique García-Carbajal, Clara Cruz-Ramos, Mariko Nakano-Miyatake

Annual ADFSL Conference on Digital Forensics, Security and Law

Most of the Live Video Systems do not preserve the Confidentiality principle, and send all frames of the video without any protection, allowing an easy “man in the middle” attack. But when it does, it uses cryptographic techniques over streaming data or makes use of secure channel systems. This generates low frame rate and demands many processor resources. In fact native Live Video Streaming demands many resources of all System.

In this paper we propose a technique to preserve confidentiality in Video Live Streaming applying a confusing visual method making use of the Toral Automorphism Spatial Transformation over each frame. …

Visualizing Instant Messaging Author Writeprints For Forensic Analysis, Angela Orebaugh, Jason Kinser, Jeremy Allnutt

Annual ADFSL Conference on Digital Forensics, Security and Law

As cybercrime continues to increase, new cyber forensics techniques are needed to combat the constant challenge of Internet anonymity. In instant messaging (IM) communications, criminals use virtual identities to hide their true identity, which hinders social accountability and facilitates cybercrime. Current instant messaging products are not addressing the anonymity and ease of impersonation over instant messaging. It is necessary to have IM cyber forensics techniques to assist in identifying cyber criminals as part of the criminal investigation. Instant messaging behavioral biometrics include online writing habits, which may be used to create an author writeprint to assist in identifying an author …

Botnet Forensic Investigation Techniques And Cost Evaluation, Brian Cusack

Annual ADFSL Conference on Digital Forensics, Security and Law

Botnets are responsible for a large percentage of damages and criminal activity on the Internet. They have shifted attacks from push activities to pull techniques for the distribution of malwares and continue to provide economic advantages to the exploiters at the expense of other legitimate Internet service users. In our research we asked; what is the cost of the procedural steps for forensically investigating a Botnet attack? The research method applies investigation guidelines provided by other researchers and evaluates these guidelines in terms of the cost to a digital forensic investigator. We conclude that investigation of Botnet attacks is both …

Development And Dissemination Of A New Multidisciplinary Undergraduate Curriculum In Digital Forensics, Masooda Bashir, Jenny A. Applequist, Roy H. Campbell, Lizanne Destefano, Gabriela L. Garcia, Anthony Lang

Annual ADFSL Conference on Digital Forensics, Security and Law

The Information Trust Institute (ITI) at the University of Illinois at Urbana-Champaign is developing an entirely new multidisciplinary undergraduate curriculum on the topic of digital forensics, and this paper presents the findings of the development process, including initial results and evaluation of a pilot offering of the coursework to students. The curriculum consists of a four-course sequence, including introductory and advanced lecture courses with parallel laboratory courses, followed by an advanced course. The content has been designed to reflect both the emerging national standards and the strong multidisciplinary character of the profession of digital forensics, and includes modules developed collaboratively …

Computer Forensics For Accountants, Grover S. Kearns

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital attacks on organizations are becoming more common and more sophisticated. Firms are interested in providing data security and having an effective means to respond to attacks. Accountants possess important investigative and analytical skills that serve to uncover fraud in forensic investigations. Some accounting students take courses in forensic accounting but few colleges offer a course in computer forensics for accountants. Educators wishing to develop such a course may find developing the curriculum daunting. A major element of such a course is the use of forensic software. This paper argues the importance of computer forensics to accounting students and offers …

Applying Memory Forensics To Rootkit Detection, Igor Korkin, Ivan Nesterov

Annual ADFSL Conference on Digital Forensics, Security and Law

Volatile memory dump and its analysis is an essential part of digital forensics. Among a number of various software and hardware approaches for memory dumping there are authors who point out that some of these approaches are not resilient to various anti-forensic techniques, and others that require a reboot or are highly platform dependent. New resilient tools have certain disadvantages such as low speed or vulnerability to rootkits which directly manipulate kernel structures, e.g., page tables. A new memory forensic system – Malware Analysis System for Hidden Knotty Anomalies (MASHKA) is described in this paper. It is resilient to popular …

The Federal Rules Of Civil Procedure: Politics In The 2013-2014 Revision, John W. Bagby, Byron Granda, Emily Benoit, Alexander Logan, Ryan Snell, Joseph J. Schwerha

Annual ADFSL Conference on Digital Forensics, Security and Law

Pre-trial discovery is perpetually controversial. Parties advantaged by strict privacy can often avoid justice when this is disadvantageous to their interests. Contrawise, parties advantaged by relaxed litigation privacy can achieve justice when all facts are accessible irrespective of their repositories, ownership or control. American-style pre-trial discovery in civil and regulatory enforcement is relatively rare around the world. U.S. discovery rules open nearly all relevant and non-privileged data for use by opposing parties. The traditional discovery process was costly and time consuming in the world of tangible paper data. However, these burdens have increased, rather than diminished as often predicted, as …

Testing And Evaluating The Harmonised Digital Forensic Investigation Process In Post Mortem Digital Investigation, Emilio R. Mumba, H. S. Venter

Annual ADFSL Conference on Digital Forensics, Security and Law

Existing digital forensic investigation process models have provided guidelines for identifying and preserving potential digital evidence captured from a crime scene. However, for any of the digital forensic investigation process models developed across the world to be adopted and fully applied by the scientific community, it has to be tested. For this reason, the Harmonized Digital Forensic Investigation Process (HDFIP) model, currently a working draft towards becoming an international standard for digital forensic investigations (ISO/IEC 27043), needs to be tested.

This paper, therefore, presents the findings of a case study used to test the HDFIP model implemented in the ISO/IEC …

Generation And Handling Of Hard Drive Duplicates As Piece Of Evidence, T. Kemmerich, F. Junge, N. Kuntze, C. Rudolph, B. Endicott-Popovsky, L. Großkopf

Annual ADFSL Conference on Digital Forensics, Security and Law

An important area in digital forensics is images of hard disks. The correct production of the images as well as the integrity and authenticity of each hard disk image is essential for the probative force of the image to be used at court. Integrity and authenticity are under suspicion as digital evidence is stored and used by software based systems. Modifications to digital objects are hard or even impossible to track and can occur even accidentally. Even worse, vulnerabilities occur for all current computing systems. Therefore, it is difficult to guarantee a secure environment for forensic investigations. But intended deletions …

Internet Addiction To Child Pornography, Rachel Sitarz, Marcus Rogers, Lonnie Bentley, Eugene Jackson

Annual ADFSL Conference on Digital Forensics, Security and Law

During the present age and time, it seems as though people in society have become addicted to nearly anything and everything, whether it be to a substance, an activity or an object. The Internet and pornography is no exception. While commonly thought of as a deviant behavior, many are displaying addictions towards the Internet and pornography. More alarming, however, are those who are viewing, downloading, or trading child pornography and displaying addictive Internet behaviors, for they are spending excessive amounts of time engaging in the proliferation of child pornographic materials. For this reason, addiction to the Internet and usage of …

Using Internet Artifacts To Profile A Child Pornography Suspect, Marcus K. Rogers, Kathryn C. Seigfried-Spellar

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital evidence plays a crucial role in child pornography investigations. However, in the following case study, the authors argue that the behavioral analysis or “profiling” of digital evidence can also play a vital role in child pornography investigations. The following case study assessed the Internet Browsing History (Internet Explorer Bookmarks, Mozilla Bookmarks, and Mozilla History) from a suspected child pornography user’s computer. The suspect in this case claimed to be conducting an ad hoc law enforcement investigation. After the URLs were classified (Neutral; Adult Porn; Child Porn; Adult Dating sites; Pictures from Social Networking Profiles; Chat Sessions; Bestiality; Data Cleaning; …

Life (Logical Iosforensics Examiner): An Open Source Iosbackup Forensics Examination Tool, Ibrahim Baggili, Shadi Al Awawdeh, Jason Moore

Annual ADFSL Conference on Digital Forensics, Security and Law

In this paper, we present LiFE (Logical iOS Forensics Examiner), an open source iOS backup forensics examination tool. This tool helps both researchers and practitioners alike in both understanding the backup structures of iOS devices and forensically examining iOS backups. The tool is currently capable of parsing device information, call history, voice messages, GPS locations, conversations, notes, images, address books, calendar entries, SMS messages, Aux locations, facebook data and e-mails. The tool consists of both a manual interface (where the user is able to manually examine the backup structures) and an automated examination interface (where the tool pulls out evidence …

Why Penetration Testing Is A Limited Use Choice For Sound Cyber Security Practice, Craig Valli, Andrew Woodward, Peter Hannay, Mike Johnstone

Annual ADFSL Conference on Digital Forensics, Security and Law

Penetration testing of networks is a process that is overused when demonstrating or evaluating the cyber security posture of an organisation. Most penetration testing is not aligned with the actual intent of the testing, but rather is driven by a management directive of wanting to be seen to be addressing the issue of cyber security. The use of penetration testing is commonly a reaction to an adverse audit outcome or as a result of being penetrated in the first place. Penetration testing used in this fashion delivers little or no value to the organisation being tested for a number of …

Awareness Of Scam E-Mails: An Exploratory Research Study, Tejashree D. Datar, Kelly A. Cole, Marcus K. Rogers

Annual ADFSL Conference on Digital Forensics, Security and Law

The goal of this research was to find the factors that influence a user’s ability to identify e-mail scams. It also aimed to understand user’s awareness regarding e-mail scams and actions that need to be taken if and when victimized. This study was conducted on a university campus with 163 participants. This study presented the participants with two scam e-mails and two legitimate e-mails and asked the participants to correctly identify these e-mails as scam or legitimate. The study focused on the ability of people to differentiate between scam and legitimate e-mails. The study attempted to determine factors that influence …

With Whom To Coordinate, Why And How In Ad-Hoc Social Media Communications During Crisis Response, Hemant Purohit, Shreyansh Bhatt, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John M. Flach

Kno.e.sis Publications

During crises affected people, well-wishers, and observers join social media communities to discuss the event. They often share useful information relevant to response coordination, for example, specific resource needs. However, responders face the challenge of massive data overload and lack the time to monitor social media traffic for important information. Analysis shows that only a small number of event related conversations are actionable. Moreover, responders do not know which sources are trustworthy. To address these challenges, response teams may apply manual filtering methods, resulting in limited coverage and quality. We propose a framework and interface for extracting specific resource-related information …

Using Statistical Methods To Determine Geolocation Via Twitter, Christopher M. Wright

Masters Theses & Specialist Projects

With the ever expanding usage of social media websites such as Twitter, it is possible to use statistical inquires to form a geographic location of a person using solely the content of their tweets. According to a study done in 2010, Zhiyuan Cheng, was able to detect a location of a Twitter user within 100 miles of their actual location 51% of the time. While this may seem like an already significant find, this study was done while Twitter was still finding its ground to stand on. In 2010, Twitter had 75 million unique users registered, as of March 2013, …

Mining Contrast Subspaces, Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Akiko Campbell, Changjie Tang

Kno.e.sis Publications

In this paper, we tackle a novel problem of mining contrast subspaces. Given a set of multidimensional objects in two classes C₊  and C₋ and a query object o, we want to find top-k subspaces S that maximize the ratio of likelihood of o in C₊  against that in C₋. We demonstrate that this problem has important applications, and at the same time, is very challenging. It even does not allow polynomial time approximation. We present CSMiner, a mining method with various pruning techniques. CSMiner is substantially faster than the baseline method. Our …

Leveraging Social Media And Web Of Data For Crisis Response Coordination, Carlos Castillo, Fernando Diaz, Hemant Purohit

Kno.e.sis Publications

There is an ever increasing number of users in social media (1B+ Facebook users, 500M+ Twitter users) and ubiquitous mobile access (6B+ mobile phone subscribers) who share their observations and opinions. In addition, the Web of Data and existing knowledge bases keep on growing at a rapid pace. In this scenario, we have unprecedented opportunities to improve crisis response by extracting social signals, creating spatio-temporal mappings, performing analytics on social and Web of Data, and supporting a variety of applications. Such applications can help provide situational awareness during an emergency, improve preparedness, and assist during the rebuilding/recovery phase of a …

Hierarchical Interest Graph From Tweets, Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit P. Sheth

Kno.e.sis Publications

Industry and researchers have identified numerous ways to monetize microblogs for personalization and recommendation. A common challenge across these different works is the identification of user interests. Although techniques have been developed to address this challenge, a flexible approach that spans multiple levels of granularity in user interests has not been forthcoming. In this work, we focus on exploiting hierarchical semantics of concepts to infer richer user interests expressed as a Hierarchical Interest Graph. To create such graphs, we utilize users' tweets to first ground potential user interests to structured background knowledge such as Wikipedia Category Graph. We then adapt …

Comparative Trust Management With Applications: Bayesian Approaches Emphasis, Krishnaprasad Thirunarayan, Pramod Anantharam, Cory Andrew Henson, Amit P. Sheth

Kno.e.sis Publications

Trust relationships occur naturally in many diverse contexts such as collaborative systems, e-commerce, interpersonal interactions, social networks, and semantic sensor web. As agents providing content and services become increasingly removed from the agents that consume them, the issue of robust trust inference and update becomes critical. There is a need to find online substitutes for traditional (direct or face-to-face) cues to derive measures of trust, and create efficient and robust systems for managing trust in order to support decision-making. Unfortunately, there is neither a universal notion of trust that is applicable to all domains nor a clear explication of its …

Cursing In English On Twitter, Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

Cursing is not uncommon during conversations in the physical world: 0.5% to 0.7% of all the words we speak are curse words, given that 1% of all the words are first-person plural pronouns (e.g., we, us, our). On social media, people can instantly chat with friends without face-to-face interaction, usually in a more public fashion and broadly disseminated through highly connected social network. Will these distinctive features of social media lead to a change in people's cursing behavior? In this paper, we examine the characteristics of cursing activity on a popular social media platform - Twitter, involving the analysis of …

What Information About Cardiovascular Diseases Do People Search Online?, Ashutosh Sopan Jadhav, Stephen Wu, Amit P. Sheth, Jyotishman Pathak

Kno.e.sis Publications

The objective of this study is to understand the types of health information (health topics) that users search online for Cardiovascular Diseases, by performing categorization of health search queries (from Mayoclinic.com) using UMLS MetaMap based on UMLS concepts and semantic types.

Location Prediction Of Twitter Users Using Wikipedia, Revathy Krishnamurthy, Pavan Kapanipathi, Amit P. Sheth, Krishnaprasad Thirunarayan

Kno.e.sis Publications

The mining of user generated content in social media has proven very effective in domains ranging from personalization and recommendation systems to crisis management. The knowledge of online users locations makes their tweets more informative and adds another dimension to their analysis. Existing approaches to predict the location of Twitter users are purely data-driven and require large training data sets of geo-tagged tweets. The collection and modelling process of tweets can be time intensive. To overcome this drawback, we propose a novel knowledge based approach that does not require any training data. Our approach uses information in Wikipedia, about cities …

Alignment And Dataset Identification Of Linked Data In Semantic Web, Kalpa Gunaratna, Sarasi Lalithsena, Amit P. Sheth

Kno.e.sis Publications

The Linked Open Data (LOD) cloud has gained significant attention in the Semantic Web community over the past few years. With rapid expansion in size and diversity, it consists of over 800 interlinked datasets with over 60 billion triples. These datasets encapsulate structured data and knowledge spanning over varied domains such as entertainment, life sciences, publications, geography, and government. Applications can take advantage of this by using the knowledge distributed over the interconnected datasets, which is not realistic to find in a single place elsewhere. However, two of the key obstacles in using the LOD cloud are the limited support …

Automatic Domain Identification For Linked Open Data, Sarasi Lalithsena, Pascal Hitzler, Amit P. Sheth, Prateek Jain

Kno.e.sis Publications

Linked Open Data (LOD) has emerged as one of the largest collections of interlinked structured datasets on the Web. Although the adoption of such datasets for applications is increasing, identifying relevant datasets for a specific task or topic is still challenging. As an initial step to make such identification easier, we provide an approach to automatically identify the topic domains of given datasets. Our method utilizes existing knowledge sources, more specifically Freebase, and we present an evaluation which validates the topic domains we can identify with our system. Furthermore, we evaluate the effectiveness of identified topic domains for the purpose …

Semantics-Empowered Big Data Processing With Applications, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

We discuss the nature of Big Data and address the role of semantics in analyzing and processing Big Data that arises in the context of Physical-Cyber-Social Systems. We organize our research around the Five Vs of Big Data, where four of the Vs are harnessed to produce the fifth V - value. To handle the challenge of Volume, we advocate semantic perception that can convert low-level observational data to higher-level abstractions more suitable for decision-making. To handle the challenge of Variety, we resort to the use of semantic models and annotations of data so that much of the intelligent processing …

City Notifications As A Data Source For Traffic Management, Pramod Anantharam, Biplav Srivastava

Kno.e.sis Publications

A common problem for cities of developing countries like India in managing traffic is the lack of basic automated instrumentation to track road conditions or vehicle locations. Still, to help their citizens make informed travel decisions based on changing city dynamics; many cities have an authorized, city-initiated, notification service in place to alert subscribing commuters about road conditions. Here, alternative means may be used to create informal textual notifications e.g., inputs from field personnel, citizen updates, and pre-authorized events from city calendar. In this paper, we show that collections of such notifications, when processed with information extraction techniques, can turn …