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Cryptojacking is the exploitation of victims' computer resources to mine for cryptocurrency using malicious scripts. It has become popular after 2017 when attackers started to exploit legal mining scripts, especially Coinhive scripts. Coinhive was actually a legal mining service that provided scripts and servers for in-browser mining activities. Nevertheless, over 10 million web users had been victims every month before the Coinhive shutdown that happened in Mar 2019. This paper explores the new era of the cryptojacking world after Coinhive discontinued its service. We aimed to see whether and how attackers continue cryptojacking, generate new malicious scripts, and developed new methods. We used a capable cryptojacking detector named CMTracker that proposed by Hong et al. in 2018. We automatically and manually examined 2770 websites that had been detected by CMTracker before the Coinhive shutdown. The results revealed that 99% of sites no longer continue cryptojacking. 1% of websites still run 8 unique mining scripts. By tracking these mining scripts, we detected 632 unique cryptojacking websites. Moreover, open-source investigations (OSINT) demonstrated that attackers still use the same methods. Therefore, we listed the typical patterns of cryptojacking. We concluded that cryptojacking is not dead after the Coinhive shutdown. It is still alive, but not as attractive as it used to be. 1

Fear of crime research has highlighted women's differential perceptions and emotions regarding particular offenses-sexual assault, most notably. However, the gendered nature of other crime-specific fears remains understudied. The authors used survey data from high school students in Turkey to examine (a) whether there are gender differences in fear of terrorism, (b) how correlates of terrorism-including media exposure, proterrorism associations, attitudes about terrorism, and demographic and contextual background characteristics-might mediate effects of gender, and (c) whether correlates of terrorism vary by gender. Findings indicated that women were more fearful of terrorism than men and that this difference persisted even after accounting for differences in the measured correlates of media exposure, proterrorism associations, attitudes about terrorism, and demographic and contextual variables. Furthermore, the effects of several of these correlates of fear were significantly different across gender.

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Fileless malware predominantly relies on PowerShell scripts, leveraging the native capabilities of Windows systems to execute stealthy attacks that leave no traces on the victim's system. The effectiveness of the fileless method lies in its ability to remain operational on victim endpoints through memory execution, even if the attacks are detected, and the original malicious scripts are removed. Threat actors have increasingly utilized this technique, particularly since 2017, to conduct cryptojacking attacks. With the emergence of new Remote Code Execution (RCE) vulnerabilities in ubiquitous libraries, widespread cryptocurrency mining attacks have become prevalent, often employing fileless techniques. This paper provides a comprehensive analysis of Pow-erShell scripts of fileless cryptojacking, dissecting the common malicious patterns based on the MITRE ATT&CK framework.

The availability of sophisticated technologies and methods of perpetrating criminogenic activities in the cyberspace is a pertinent societal problem. Darknet is an encrypted network technology that uses the internet infrastructure and can only be accessed using special network configuration and software tools to access its contents which are not indexed by search engines. Over the years darknets traditionally are used for criminogenic activities and famously acclaimed to promote cybercrime, procurements of illegal drugs, arms deals, and cryptocurrency markets. In countries with oppressive regimes, censorship of digital communications, and strict policies prompted journalists and freedom fighters to seek freedom using darknet technologies anonymously while others simply exploit it for illegal activities. Recently, MIT's Lincoln Laboratory of Artificial Intelligence augmented a tool that can be used to expose illegal activities behind the darknet. We studied relevant literature reviews to help researchers to better understand the darknet technologies, identify future areas of research on the darknet and ultimately to optimize how data-driven insights can be utilized to support governmental agencies in unraveling the depths of darknet technologies. This paper focuses on the use of internet for crimes, deanonymization of TOR-services, darknet a new digital street for illicit drugs, research questions and hypothesis to guide researchers in further studies. Finally, in this study, we propose a model to examine and investigate anonymous online illicit markets. 1

ALPR systems have been rapidly spreading in the US. However, little is known about their effectiveness. Results of an interrupted time series model suggest that ALPR systems significantly increased follow-up arrests in the Cincinnati Police Department (CPD) compared with traditional policing approaches. Human resources cost analysis of the study showed that ALPR technology carried out more follow-up arrests by using fewer police officers compared with traditional policing. Finally, cost-effective analysis revealed that ALPR technology is cost-effective and amortises itself within less than one week for property crimes, and less than a month for violent crimes.