The Soft Threat: The Story of the Bangladesh Bank Reserve Heist

Bukth, Tanisha; Huda, S. S. M. Sadrul

doi:10.4135/9781526411228

Cited by 6 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to its casinos, the state agency Philippine Amusement and Gaming Corporation (PAGCOR) has licensed 13 private casino resort projects; the regulator-cum-operator also grants licences for the provision of offshore online gaming. However, personal security and safety hazards are often the negative perceptions deterring inbound visitation (McCartney, 2016; Shead, 2017b), and money laundering has also been a concern in the Philippines, for example, the 2016 Bangladesh Bank heist, in which part of the funds were laundered through the banks and casinos there (Bukth and Huda, 2017). Since February 2018, the policy of moratorium on new casinos has been introduced and remains in effect.…”

Section: Asian Casino Development At a Glancementioning

confidence: 99%

Casino development and regulation in Asia: the experience of Macau and Singapore for Japan and other destinations

2020

AEDS

View full text Add to dashboard Cite

PurposeThe purpose of this paper is to examine the casino development and regulation in Macau and Singapore. The paper also seeks to assess the potential for casino development in Asia, with a particular focus on the prospects of Japan's casino resorts.Design/methodology/approachThe paper reviews the gaming history, gaming/tourism policies and casino regulations of Macau and Singapore. The key aspects concerned with the casino development in Asia are also examined.FindingsThe paper identifies the fundamentals that have contributed to the prosperity of casino resorts in Macau and Singapore, as well as highlights the potential and challenges for the casino developments in Japan and other Asian destinations.Research limitations/implicationsA number of legal and tourism-related factors are identified to be the determinants of casino development. However, more research is needed to examine the political, economic and socio-cultural factors associated with casino gaming.Practical implicationsThe paper, discussing the casino development and regulation in Macau and Singapore, provides practical implications for the design of gaming/tourism policy and casino control in Japan and other prospective gaming jurisdictions.Originality/valueThe paper contributes to the growing body of literature on the gaming law and casino development in Asia and provides insights for policymakers contemplating the adoption of casinos as a strategic policy for tourism development and economic growth.

show abstract

Section: Asian Casino Development At a Glancementioning

confidence: 99%

Casino development and regulation in Asia: the experience of Macau and Singapore for Japan and other destinations

2020

AEDS

View full text Add to dashboard Cite

show abstract

“…The money transferred to Sri Lanka was all recovered, but from the US$ 81 million transferred to the Philippines, only US$ 18 million was recovered. Most of the money transferred to the Philippines were collected into four personal accounts [2].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Based Phishing Attack Detection

Hossain¹,

Sarma²,

Chakma³

2020

IJACSA

View full text Add to dashboard Cite

This paper explores machine learning techniques and evaluates their performances when trained to perform against datasets consisting of features that can differentiate between a Phishing Website and a safe one. This capability of telling these sites apart from one another is vital in the modernday internet surfing. As more and more of our resources shift online, one vulnerability and a leak of sensitive information by someone could bring everything down in a connected network. This paper's objective through this research is to highlight the best technique for identifying one of the most commonly occurring cyberattacks and thus allow faster identification and blacklisting of such sites, therefore leading to a safer and more secure web surfing experience for everyone. To achieve this, we describe each of the techniques we look into in great detail and use different evaluation techniques to portray their performance visually. After pitting all of these techniques against each other, we have concluded with an explanation in this paper that Random Forest Classifier does indeed work best for Phishing Website Detection.

show abstract