By Jake M. Drew and Tyler Moore

To be successful, cybercriminals must figure out how to scale their scams. They duplicate content on new websites, often staying one step ahead of defenders that shut down past schemes. For some scams, such as phishing and counterfeit goods shops, the duplicated content remains nearly identical. In others, such as advanced-fee fraud and online Ponzi schemes, the criminal must alter content so that it appears different in order to evade detection by victims and law enforcement. Nevertheless, similarities often remain, in terms of the website structure or content, since making truly unique copies does not scale well. In this paper, we present a novel optimized combined clustering method that links together replicated scam websites, even when the criminal has taken steps to hide connections. We present automated methods to extract key website features, including rendered text, HTML structure, file structure, and screenshots. We describe a process to automatically identify the best combination of such attributes to most accurately cluster similar websites together. To demonstrate the method’s applicability to cybercrime, we evaluate its performance against two collected datasets of scam websites: fake escrow services and high-yield investment programs (HYIPs). We show that our method more accurately groups similar websites together than those existing general-purpose consensus clustering methods.

• Smugglers were the top source of information for those who obtained information prior to starting their journey (50%), even more so for women (60%).This high percentage likely stems from the unique sampling criteria, in which all respondents used a smuggler. • However, 28% of migrants overall considered smugglers to be the most reliable source of information, and less so among women (21%).

London: Mixed Migration Centre, 2025. 12p.

MAY CONTAIN MARKUP

ROBERT W. TAYLOR, TORY J.CAETI, D. KALL LOPER, ERIC J. FRITSCH, and JOHN LIEDERBACH

FROM THE PREFACE: “The first section of the book covers the etiology of the digital crime and digital terrorism problem. The focus in this section is on the types of crimes and acts of terrorism that are committed using computers, networks, and the Internet. Additionally, the reasons why offenders commit these types of crimes are examined in relation to current criminological theories and explanations. As the reader will find, applying criminological theory to digital crime and terrorism is a relatively recent conception. Finally, the section concludes with a chapter on digital criminals and hackers. Chapter I provides an introduction and overview of computer crime. In particular, a categorization of types of computer crimes is presented including I) the computer as the target, 2) the computer as an instrument of a crime, 3) the computer as incidental to crime, and 4) crimes associated with the prevalence of computers. Chapter 2 provides a definition and overview of two key areas of concern in regards to computer crimes, specifically "information warfare" and "cyber-terrorism." Chapter 3 reviews criminological theories that can explain digital crime. Since few theories have been applied directly to digital crime, this chapter focuses on the classic criminological theories that can be applied to digital crime. In other words, the theories discussed in this chapter were developed to explain crime in general, not digital crime specifically. In particular, this chapter focuses on choice, deterrence, psychological. social structure, and social process theories. Finally, Chapter 4 presents an overview of the hacker subculture and presents a typology of hacker types based on relative levels of skill, resources, and enculturation in the values of the hacker subculture. The chapter closes with a discussion of contemporary hacker roles and terminology.”

Prentice Hall. Upper Saddle River, New Jersey. 2006. 413p.

MAY CONTAIN MARKUP

By Kevin Cardwell, Timothy Clinton, Tyler Cohen, Edward Collins, James "Jim" Cornell, Michael Cross, Larry Depew, Art Ehuan, Michael Gregg, Captain Benjamin R. Jean, Kevin O'Shea, Kevin Reis ,Anthony Reyes, Sondra Schneider ,Amber Schroader, Karen Schuler, Jesse Varsalone ,Jack Wiles and Craig Wright

INTRODUCTION: “As is often the case with security compromises, it's not a matter of if your company will be compromised, but when. If I had known the employee I hired was going to resign, break into my office, and damage my computers in the span of three days, hindsight being 20/20,I would have sent notification to the security guards at the front door placing them on high alert and made sure he was not granted access to the building after he resigned. Of course, I in hindsight, I should have done a better job of hiring critical personnel .He was hired as a computer security analyst and security hacker instructor; and was (or should have been) the best example of ethical conduct.

Clearly, we see only what we want to see when hiring staff and you won't know whether an employee is ethical until a compromise occurs. Even if my blinders had been off, I would have never seen this compromise coming. It boggles the mind to think that anyone would ruin or jeopardize his career in computer security for so little. But he did break into the building and he did damage our computers, and therefore he will be held accountable for his actions, as detailed in the following forensic information. Pay attention when the legal issues are reviewed.You will learn bits and pieces regarding how to make your life easier by knowing what you really need to know "when" your computer security compromise occurs.

Computer forensics is the preservation, identification, extraction, interpretation, and documentation of computer evidence. In Chapter 9 of Cyber Crime Investigations, digital forensics is referred to as "the scientific acquisition, analysis, and preservation of data contained in electronic media whose information can be used as evidence in a court of law"

Syngress Publishing. Inc. Elsevier, Inc.. Burlington, MA. 2007. 727p.