2022
DOI: 10.30574/wjarr.2022.15.1.0573
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A literature review of financial losses statistics for cyber security and future trend

Abstract: Cybercrime directs to any criminal activity taken out utilizing computers or the internet. Attackers have chosen strategies such as social engineering, phishing, and malware as part of their cyber-attacks. A cyber-attack can lead to various effects, ranging from stealing individual data to extortion money or losing helpful information. Society and systems depend on critical infrastructures like power plants, hospitals, and financial services companies. This paper analyzes financial losses statistics for cyber … Show more

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Cited by 32 publications
(17 citation statements)
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“…However, once this data is collected, cleaned, and processed at network gateways, it can be used to reveal priceless information about and enable unauthorized control of entire systems. It is estimated that cybercrimes will cost $10.5 trillion annually worldwide by 2025 [18]. Around 75 billion IoT devices are expected to be part of the global network by this time [16].…”
Section: Motivationmentioning
confidence: 99%
“…However, once this data is collected, cleaned, and processed at network gateways, it can be used to reveal priceless information about and enable unauthorized control of entire systems. It is estimated that cybercrimes will cost $10.5 trillion annually worldwide by 2025 [18]. Around 75 billion IoT devices are expected to be part of the global network by this time [16].…”
Section: Motivationmentioning
confidence: 99%
“…Every 39 seconds, a company is hit by a cyberattack, and some type of malware has hit more than 60% of businesses worldwide. According to IBM's Cost of a Data Breach Report 2021, the average total cost of a data breach climbed from $3.86 million to $4.24 million in 2021 [12]. Due to longer reaction times, remote working increased the average total costs, according to the report's results [10].…”
Section: Statistical Perspective Of Attacks In Socialmentioning
confidence: 99%
“…It separated the entire swarm into subgroups using the K-means method, allowing each subgroup to learn more effectively within and among distinct populations. After that, the study optimizes random forest for flow classification by updating the 12 Wireless Communications and Mobile Computing weight of each sample after repeatedly building each tree and making the final choice using a weighted voting mechanism. However, the Bat algorithm is a popular global optimization technique that can generate excellent results but is prone to becoming locked in local minima.…”
Section: Kdd Cup 99mentioning
confidence: 99%
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“…This is a common globally faced problem called identity theft in which someone uses other people's identity data for financial access [1]. There has been an increase in identity theft over the years; as the use of the Internet and social media is also increasing, it is becoming easier for thieves to steal people's identities and use them for financial gains [2] [3].…”
Section: Introductionmentioning
confidence: 99%