The largest reported data leakage as of January 2024 was the Cam4 data breach in March 2020, which exposed more than 10 billion data records. The second-largest data breach in history so far, the Yahoo data breach, occurred in 2013. The company initially reported about one billion exposed data records, but after an investigation, the company updated the number, revealing that three billion accounts were affected. The National Public Data Breach was announced in August 2024. The incident became public when personally identifiable information of individuals became available for sale on the dark web. Overall, the security professionals estimate the leakage of nearly three billion personal records. The next significant data leakage was the March 2018 security breach of India's national ID database, Aadhaar, with over 1.1 billion records exposed. This included biometric information such as identification numbers and fingerprint scans, which could be used to open bank accounts and receive financial aid, among other government services.

Cybercrime - the dark side of digitalization As the world continues its journey into the digital age, corporations and governments across the globe have been increasing their reliance on technology to collect, analyze and store personal data. This, in turn, has led to a rise in the number of cyber crimes, ranging from minor breaches to global-scale attacks impacting billions of users – such as in the case of Yahoo. Within the U.S. alone, 1802 cases of data compromise were reported in 2022. This was a marked increase from the 447 cases reported a decade prior. The high price of data protection As of 2022, the average cost of a single data breach across all industries worldwide stood at around 4.35 million U.S. dollars. This was found to be most costly in the healthcare sector, with each leak reported to have cost the affected party a hefty 10.1 million U.S. dollars. The financial segment followed closely behind. Here, each breach resulted in a loss of approximately 6 million U.S. dollars - 1.5 million more than the global average.

View Data Breach Notification Reports, which include how many breaches are reported each year and the number of affected residents.

In 2023, the number of data compromises in the United States stood at 3,205 cases. Meanwhile, over 353 million individuals were affected in the same year by data compromises, including data breaches, leakage, and exposure. While these are three different events, they have one thing in common. As a result of all three incidents, the sensitive data is accessed by an unauthorized threat actor. Industries most vulnerable to data breaches Some industry sectors usually see more significant cases of private data violations than others. This is determined by the type and volume of the personal information organizations of these sectors store. In 2022, healthcare, financial services, and manufacturing were the three industry sectors that recorded most data breaches. The number of healthcare data breaches in the United States has gradually increased within the past few years. In the financial sector, data compromises increased almost twice between 2020 and 2022, while manufacturing saw an increase of more than three times in data compromise incidents. Largest data exposures worldwide In 2020, an adult streaming website, CAM4, experienced a leakage of nearly 11 billion records. This, by far, is the most extensive reported data leakage. This case, though, is unique because cyber security researchers found the vulnerability before the cyber criminals. The second-largest data breach is the Yahoo data breach, dating back to 2013. The company first reported about one billion exposed records, then later, in 2017, came up with an updated number of leaked records, which was three billion. In March 2018, the third biggest data breach happened, involving India’s national identification database Aadhaar. As a result of this incident, over 1.1 billion records were exposed.

Analysis of ‘List of Top Data Breaches (2004 - 2021)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/hishaamarmghan/list-of-top-data-breaches-2004-2021 on 14 February 2022.

--- Dataset description provided by original source is as follows ---

This is a dataset containing all the major data breaches in the world from 2004 to 2021

As we know, there is a big issue related to the privacy of our data. Many major companies in the world still to this day face this issue every single day. Even with a great team of people working on their security, many still suffer. In order to tackle this situation, it is only right that we must study this issue in great depth and therefore I pulled this data from Wikipedia to conduct data analysis. I would encourage others to take a look at this as well and find as many insights as possible.

This data contains 5 columns: 1. Entity: The name of the company, organization or institute 2. Year: In what year did the data breach took place 3. Records: How many records were compromised (can include information like email, passwords etc.) 4. Organization type: Which sector does the organization belong to 5. Method: Was it hacked? Were the files lost? Was it an inside job?

Here is the source for the dataset: https://en.wikipedia.org/wiki/List_of_data_breaches

Here is the GitHub link for a guide on how it was scraped: https://github.com/hishaamarmghan/Data-Breaches-Scraping-Cleaning

--- Original source retains full ownership of the source dataset ---

The Bureau of Justice Statistics (BJS) Compendium of State Privacy and Security Legislation database consists of state laws, executive orders, and administrative regulations relating to the privacy and security of criminal history record information (CHRI). The Compendium database documents how the states and territories regulate the disclosure and security of CHRI. SEARCH (the National Consortium for Justice Information and Statistics) completed the previous version of the Compendium database for BJS in 2002. During 2014 and 2015, the Federal Research Division (FRD) of the Library of Congress updated the Compendium database for BJS.

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We understand the importance of data accuracy and employ every avenue to keep our database fresh and updated. We execute a multi-step QC process backed by our Patented AI and Machine learning tools to prevent anomalies in consistency and data precision. This cycle repeats every 45 days. Although maintaining 100% accuracy is quite impractical, since data such as email, physical addresses, and phone numbers are subjected to change, we guarantee 85% email deliverability and 95% accuracy on other data points.

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Every data point is meticulously verified and then re-verified to ensure you get the best. Data Accuracy is paramount in successfully penetrating a new market or working within a familiar one. We are committed to precision. However, in an unlikely event where hard bounces or inaccuracies exceed the guaranteed percentage, we offer replacement with immediate effect. If need be, we even offer credits and/or refunds for inaccurate contacts.

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Assembled from 196 references, this database records a total of 3,861 cases of historical dam failures around the world and represents the largest compilation of dam failures recorded to date (17-02-2020). Indeed, in this database is recorded historical dam failure regardless of the type of dams (e.g. man-made dam, tailing dam, temporary dam, natural dam, etc.), either the type of structure (e.g. concrete dam, embankment dam, etc.), the type of failure (e.g. pipping failure, overtopping failure, etc.) or the properties of the dams (e.g. dam height, reservoir capacity, etc.). Through this process, a total of 45 variables (i.e. which composed the “dataset”, obtained) have been used (when possible/available and relevant) to record various information about the failure (e.g. dam descriptions, dam properties, breach dimensions, etc.). Coupled with the Excel’s functionalities (e.g. adapted from Excel 2016; customizable screen visualization, individual search of specific cases, data filter, pivot table, etc.), the database file can easily be adapted to the needs of the user (i.e. research field, dam type, dam failure type, etc.) and is considered as a door opening in various fields of research (e.g. such as hydrology, hydraulics and dam safety). Also, notice that the dataset proposed allows any user to optimize the verification process, to identify duplicates and to put back in context the historical dam failures recorded. Overall, this investigation work has aimed to standardize data collection of historical dam failures and to facilitate the international collection by setting guidelines. Indeed, the sharing method (i.e. provided through this link) not only represents a considerable asset for a wide audience (e.g. researchers, dams’ owner, etc.) but, furthermore, allows paving the way for the field of dam safety in the actual era of "Big Data". Updated versions will be deposited (at this DOI) at undetermined frequencies in order to update the data recorded over the years. Cette base de données, compile un total de 3 861 cas de rupture de barrages à travers le monde, soit la plus large compilation de ruptures historiques de barrages actuellement disponible dans la littérature (17-02-2020), et a été obtenue suite à la revue de 196 références. Pour ce faire, les cas de ruptures de barrages historiques recensés ont été enregistrés dans le fichier XLSX fourni, et ce, indépendamment du domaine d’application (ex. barrage construit par l’Homme, barrage à rétention minier, barrage temporaire, barrage naturel, etc.), du type d’ouvrage (ex. barrage en béton, barrage en remblai, etc.), du mode de rupture (ex. rupture par effet de Renard, rupture par submersion, etc.) et des propriétés des ouvrages (ex. hauteur du barrage, capacité du réservoir, etc.). Au fil du processus de compilation, un jeu de 45 variables a été obtenu afin d’enregistrer les informations (lorsque possible/disponible et pertinente) décrivant les données recensées dans la littérature (ex. descriptions du barrage, propriétés du barrage, dimensions de la brèche de rupture, etc.). De ce fait, le travail d’investigation et de compilation, ayant permis d’uniformiser et de standardiser cette collecte de données de différents types de barrages, a ainsi permis de fournir des balises facilitant la collecte de données à l’échelle internationale. Soulignons qu’en couplant la base de données aux fonctionnalités d'Excel (ex. pour Excel 2016: visualisation d'écran personnalisable, recherche individuelle de cas spécifiques, filtre de données, tableau croisé dynamique, etc.), le fichier peut également aisément être adapter aux besoins de son utilisateur (ex. domaine d’étude, type de barrage, type de rupture de barrage, etc.), ouvrant ainsi la porte à de nouvelles études dans divers domaines de recherche (ex. domaine de l’hydrologie, l’hydraulique et de la sécurité des barrages), grâce aux données nouvellement compilées. De ce fait, cette méthode de partage, mise gratuitement à la disposition de la communauté internationale par l’entremise de cette page web, représente donc non seulement un atout considérable pour un large public (ex. chercheurs, propriétaires de barrages, etc.), mais permet au domaine de la sécurité des barrages d’entrer dans l'actuelle ère du « Big Data ». Des versions mises à jour seront par le fait même déposées (via ce DOI) à des fréquences indéterminées afin de mettre à jour les données enregistrées au fil des ans.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

South Korea NJ: Ulsan: BTAFSC: Security data was reported at 322.000 Person in Dec 2024. This records an increase from the previous number of 224.000 Person for Nov 2024. South Korea NJ: Ulsan: BTAFSC: Security data is updated monthly, averaging 249.000 Person from Jan 2018 (Median) to Dec 2024, with 84 observations. The data reached an all-time high of 583.000 Person in Jan 2021 and a record low of 167.000 Person in Aug 2018. South Korea NJ: Ulsan: BTAFSC: Security data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.G092: New Job Searches.

21284 Global exporters importers export import shipment records of Electronic security system with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Search terms used in searching Pub-Med electronic database.

61446 Global exporters importers export import shipment records of Protective security with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The need for accurate, timely and complete Reference Data is vital for the efficient functioning of the financial ecosystem. With our Core Reference Data service, receive extensive information on a predefined set of data points across a broad range of asset classes to support the maintenance of your securities master database. The information on key data attributes enables compliance with regulatory & risk management requirements while maximizing operation efficiency.

Comparison of existing studies.

South Korea NJ: Daejeon: BTAFSC: Security data was reported at 293.000 Person in Dec 2024. This records an increase from the previous number of 265.000 Person for Nov 2024. South Korea NJ: Daejeon: BTAFSC: Security data is updated monthly, averaging 283.000 Person from Jan 2018 (Median) to Dec 2024, with 84 observations. The data reached an all-time high of 691.000 Person in Jan 2018 and a record low of 193.000 Person in Feb 2024. South Korea NJ: Daejeon: BTAFSC: Security data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.G092: New Job Searches.

The data (name, year of birth, sex, and number) are from a 100 percent sample of Social Security card applications for 1880 onward.

South Korea NJ: Busan: BTAFSC: Security data was reported at 1,211.000 Person in Dec 2024. This records an increase from the previous number of 1,088.000 Person for Nov 2024. South Korea NJ: Busan: BTAFSC: Security data is updated monthly, averaging 1,169.000 Person from Jan 2018 (Median) to Dec 2024, with 84 observations. The data reached an all-time high of 1,919.000 Person in Jan 2020 and a record low of 948.000 Person in Aug 2024. South Korea NJ: Busan: BTAFSC: Security data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.G092: New Job Searches.

SCTS supports the adjudication process of private background investigations and clearances for potential employees, contractors, interns and student workers.

South Korea NJ: Gangwon: BTAFSC: Security data was reported at 303.000 Person in Dec 2024. This records an increase from the previous number of 245.000 Person for Nov 2024. South Korea NJ: Gangwon: BTAFSC: Security data is updated monthly, averaging 256.500 Person from Jan 2018 (Median) to Dec 2024, with 84 observations. The data reached an all-time high of 587.000 Person in Jan 2021 and a record low of 157.000 Person in Aug 2024. South Korea NJ: Gangwon: BTAFSC: Security data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.G092: New Job Searches.

South Korea NJ: Jeonbuk: BTAFSC: Security data was reported at 378.000 Person in Dec 2024. This records an increase from the previous number of 244.000 Person for Nov 2024. South Korea NJ: Jeonbuk: BTAFSC: Security data is updated monthly, averaging 312.500 Person from Jan 2018 (Median) to Dec 2024, with 84 observations. The data reached an all-time high of 694.000 Person in Jan 2021 and a record low of 219.000 Person in Feb 2024. South Korea NJ: Jeonbuk: BTAFSC: Security data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.G092: New Job Searches.