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Titlebook: Digital Forensics and Cyber Crime; 12th EAI Internation Pavel Gladyshev,Sanjay Goel,Daryl Johnson Conference proceedings 2022 ICST Institut

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,PCWQ: A Framework for Evaluating Password Cracking Wordlist Quality,onger, safer passwords and elevated the sophistication of the password cracking methods chosen by their adversaries. In this constantly moving landscape, the use of wordlists to create smarter password cracking candidates begs the question of whether there is a way to assess which is better. In this
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,No Pie in the Sky: The Digital Currency Fraud Website Detection,o took place. One of the most common ways is to induce victims to invest. As a result criminals can obtain a large number of profits through fraud. Cybercriminals usually design the layout of digital currency fraud websites to be similar to normal digital currency websites. Use some words related to
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,Understanding the Brains and Brawn of Illicit Streaming App,-protected contents, including movies, live soccer matches, basketball games, dramas, etc., have been taken by “content pirates” and redistributed through the Internet. In the last few years, illegal IPTV providers in the form of an illicit streaming app running on smartphones, smart TVs, and illici
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,Fine-Grained Obfuscation Scheme Recognition on Binary Code,ysts from performing reverse analysis. This paper proposes a new method of extracting from functions their reduced shortest paths (RSP), through path search and abstraction, to identify functions in a more fine-grained manner. The method of deep representation learning is utilized to identify whethe
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Backdoor Investigation and Incident Response: From Zero to Profit,ing transaction to win the game. The attacker compromises the database occasionally without explicit footprints, basically this company has just engaged enterprise-grade firewall and anti-virus software but its anti-virus control failed to detect the existence of a backdoor file. After 4-month of in
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,Automated Software Vulnerability Detection via Pre-trained Context Encoder and Self Attention,l analysis. Most existing vulnerability detection methods rely on manual designed vulnerability features, which is costly and leads to high false positive rates. Pre-trained models for programming language have been used to gain dramatic improvements to code-related tasks, which considers syntactic-
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,Do Dark Web and Cryptocurrencies Empower Cybercriminals?,in determining the identities of dark website owners and the tracing of the associated transactions compounds the challenges of investigating dark web activities. In this study, we explore how cryptocurrencies have been involved in cybercriminal activities on the dark web and the factors that drive
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