Cybercrime and cybersecurity in India: causes, consequences and implications for the future

Kshetri, Nir

doi:10.1007/s10611-016-9629-3

Cited by 23 publications

(10 citation statements)

References 58 publications

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“…Another interesting dominant topic we identified was about cybercrime in fast-growing non-agricultural districts. This may indicate that an increasing use of digital financial services but among a newly prosperous population that is yet to become very familiar with these services, can leave the people vulnerable to financial fraud [22]. Such unusual topics that emerge as dominant in a subclass can provide hints about new variables or relationships that should be tracked to understand socio-economic development.…”

Section: Unusual Development Pattern Descriptionsmentioning

confidence: 99%

Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India

Gupta,

Saifi,

Verma

et al. 2021

Preprint

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Understanding what factors bring about socio-economic development may often suffer from the streetlight effect, of analyzing the effect of only those variables that have been measured and are therefore available for analysis. How do we check whether all worthwhile variables have been instrumented and considered when building an econometric development model? We attempt to address this question by building unsupervised learning methods to identify and rank news articles about diverse events occurring in different districts of India, that can provide insights about what may have transpired in the districts. This can help determine whether variables related to these events are indeed available or not to model the development of these districts. We also describe several other applications that emerge from this approach, such as to use news articles to understand why pairs of districts that may have had similar socio-economic indicators approximately ten years back ended up at different levels of development currently, and another application that generates a newsfeed of unusual news articles that do not conform to news articles about typical districts with a similar socio-economic profile. These applications outline the need for qualitative data to augment models based on quantitative data, and are meant to open up research on new ways to mine information from unstructured qualitative data to understand development. CCS CONCEPTS• Computing methodologies → Machine learning; • Applied computing → Computing in government.

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Section: Unusual Development Pattern Descriptionsmentioning

confidence: 99%

Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India

Gupta,

Saifi,

Verma

et al. 2021

Preprint

View full text Add to dashboard Cite

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“…In most GS economies there has been a lack of indigenous technology and patents related to cybersecurity (Kshetri 2016a). A related point is that while GS economies have generated some innovations, they have failed to give sufficient attention to security problems.…”

Section: Technological Dimension Of Hollownessmentioning

confidence: 99%

“…For instance, laws and rules related to cybersecurity can be easily written on the books in a short period of time. Nonetheless, the development of legal infrastructures such as building a well-functioning cybersecurityrelated court system and employing judges and law enforcement professionals well versed in cybersecurity takes a relatively longer time (Kshetri 2016a). Mohammad Khairuddin Abdullah, Malaysia's HeiTech Padu Berhad's director noted: "As long as they [cyber-criminals] are within the country, the criminals can be brought to court, but you'll be lucky if you can find the judge, who can write the warrant and understands the issue.…”

Section: Institutions Affecting Cybersecurity In the Global Southmentioning

confidence: 99%

Cybersecurity and Development

Kshetri¹

2016

MGDR

Self Cite

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While scholars and policymakers have realized the importance of information and communication technologies in economic development, relatively less attention has been given to the role of cybersecurity. This research sheds light on issues associated with the "dark side" of digitization in the Global South. We examine the hollowness in the Global South's digitization initiatives that is associated with a poor cybersecurity. The article also advances our understanding of how institutional and structural characteristics of the Global South influence cybersecurity.

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“…Authors found that the current cyber security systems are less effective due to their non-suitability for all frauds. Cyber security systems must cater to internal/external frauds (Kshetri, 2016), their response mechanism (Behr et al, 2010;Park and Kim, 2020), high costs, time and resources allocated in such systems (Shaw, 2006;Zelenakova et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Internal-led cyber frauds in Indian banks: an effective machine learning–based defense system to fraud detection, prioritization and prevention

Roy

Prabhakaran²

2022

AJIM

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PurposeThe study aims to overview the different types of internal-led cyber fraud that have gained mainstream attention in recent major-value fraud events involving prominent Indian banks. The authors attempted to identify and classify cyber frauds and its drivers and correlate them for optimal mitigation planning.Design/methodology/approachThe methodology opted for the identification and classification is through a detailed literature review and focus group discussion with risk and vigilance officers and cyber cell experts. The authors assessed the future of cyber fraud in the Indian banking business through the machine learning–based k-nearest neighbor (K-NN) approach and prioritized and predicted the future of cyber fraud. The predicted future revealing dominance of a few specific cyber frauds will help to get an appropriate fraud prevention model, using an associated parties centric (victim and offender) root-cause approach. The study uses correlation analysis and maps frauds with their respective drivers to determine the resource specific effective mitigation plan.FindingsFinally, the paper concludes with a conceptual framework for preventing internal-led cyber fraud within the scope of the study. A cyber fraud mitigation ecosystem will be helpful for policymakers and fraud investigation officers to create a more robust environment for banks through timely and quick detection of cyber frauds and prevention of them.Research limitations/implicationsAdditionally, the study supports the Reserve Bank of India and the Government of India's launched cyber security initiates and schemes which ensure protection for the banking ecosystem i.e. RBI direct scheme, integrated ombudsman scheme, cyber swachhta kendra (botnet cleaning and malware analysis centre), National Cyber Coordination Centre (NCCC) and Security Monitoring Centre (SMC).Practical implicationsStructured and effective internal-led plans for cyber fraud mitigation proposed in this study will conserve banks, employees, regulatory authorities, customers and economic resources, save bank authorities’ and policymakers’ time and money, and conserve resources. Additionally, this will enhance the reputation of the Indian banking industry and extend its lifespan.Originality/valueThe innovative insider-led cyber fraud mitigation approach quickly identifies cyber fraud, prioritizes it, identifies its prominent root causes, map frauds with respective root causes and then suggests strategies to ensure a cost-effective and time-saving bank ecosystem.

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Cybercrime and cybersecurity in India: causes, consequences and implications for the future

Cited by 23 publications

References 58 publications

Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India

Exploring the Scope of Using News Articles to Understand Development Patterns of Districts in India

Cybersecurity and Development

Internal-led cyber frauds in Indian banks: an effective machine learning–based defense system to fraud detection, prioritization and prevention

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