Cyber ethics and cyber crime: A deep dwelved study into legality, ransomware, underground web and bitcoin wallet

Upadhyaya, Rhyme; Jain, Aruna

doi:10.1109/ccaa.2016.7813706

Cited by 30 publications

(13 citation statements)

References 1 publication

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“…Although Blockchain is widely touted as a secure and private realm, its short history shows cases with grave risks such as ruined reputations [26], lost finances [21] and stolen identities [25]. We will provide multiple examples of how Blockchain can be hijacked and used in malicious ways.…”

Section: Blockchain Data Analytics For Security and Privacymentioning

confidence: 99%

Data Science on Blockchains

Akcora

Kantarcıoğlu

Gel

2021

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &Amp; Data Mining

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Blockchain technology garners an ever-increasing interest of researchers in various domains that benefit from scalable cooperation among trust-less parties. As blockchains and their applications proliferate, so do the complexity and volume of data stored by Blockchains. Analyzing this data has emerged as an important research topic, already leading to methodological advancements in information sciences.In this tutorial, we offer a holistic view of applied Data Science on Blockchains. Starting with the core components of Blockchain, we will detail the state of art in Blockchain data analytics for graph, security, and finance domains. Our examples will answer questions, such as, how to parse, extract and clean the data stored in blockchains?, how to store and query Blockchain data? and what features we could compute from blockchains?We will share tutorial notes, collected meta-information, and further reading pointers on our tutorial website at blockchaintutorial.github.io.

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Section: Blockchain Data Analytics For Security and Privacymentioning

confidence: 99%

Data Science on Blockchains

Akcora

Kantarcıoğlu

Gel

2021

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &Amp; Data Mining

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“…There have been several attempts to classify the types of online crimes in recent years (Holt, 2016;Koops, 2010;Sabillon, Cano, Cavaller Reyes, & Serra Ruiz, 2016;Wall, 2001), suggesting cyberspace has provided new opportunities for criminal activity to be sanctioned appropriately (Upadhyaya & Jain, 2016). Grabosky (2001); (2014) sees cybercrime as little more than an online version of existing types crime, whereas Holt and Bossler (2014) and Crown Prosecution Service (n.d.) include both traditional crime moving online and exclusively online activities.…”

Section: Typology Of Cybercrimesmentioning

confidence: 99%

Researching Cybercrimes

2021

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carrying out research into online behaviours and the acceptance of technology. Using mainly qualitative research methods, he investigates trust relationships and online group formation. Further, as part of application and technology evaluation, he focuses on how potential adopters and users create narratives with technology embedded as a predictor of technology acceptance rather than more traditional models in domains from healthcare to cybersecurity.

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“…Ransomware are similar to other computer virus such as trojan horse, worms and spyware [27,28] and it is defined as the emergence of cyber hack jacking threat in new form in the cyberspace. Ransomware has become a significant problem [13] due to its rapid growth in global level [29].…”

Section:  Ransomwarementioning

confidence: 99%

Behavioral Analysis of Bitcoin Users on Illegal Transactions

Samsudeen¹,

Perera²,

Fernando³

2019

Adv. sci. technol. eng. syst. j.

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Bitcoin is a popular crypto currency that is used as a mode of investment and a medium for trading goods and services. Anonymity, security and decentralization are significant features of Bitcoin. This creates several opportunities for criminals to involve in illegal and fraudulent activities. This research study aimed to automate the process of gaining the interconnected illegal transactions from Bitcoin Blockchain; which also identified the behavioral patterns and significant facts among illegal incidents that are of varied nature. The motivation for choosing this study was lack of literature that covers illegal incidents that are of various natures. In addition, the lack of literature on spending patterns common to several illegal incidents is also one of the motivations. For this study, an inductive approach was carried out. Initially the illegal incident and transaction data extracted from publicly available sources were parsed into BlockSci. In BlockSci scripts were written to gain the details on related illegal incidents. In visualizing the relationship of derived interconnected transaction indexes, Gephi tool was used in which the most significant indexes were summarized for further interpretation of data. Thereafter, traversing data back in the Blockchain was the method used in deriving patterns and significant facts. Finally, the common patterns obtained were evaluated based on previous findings. Consequently, the study recognized common spending patterns and popular exchanges used.

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Cyber ethics and cyber crime: A deep dwelved study into legality, ransomware, underground web and bitcoin wallet

Cited by 30 publications

References 1 publication

Data Science on Blockchains

Data Science on Blockchains

Researching Cybercrimes

Behavioral Analysis of Bitcoin Users on Illegal Transactions

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