Introduction

Hacking Statistics: In 2024, cybercrime continues to be a growing concern globally, with hacking as one of the most prevalent forms of cyber threats. Hackers have become increasingly sophisticated, targeting both individuals and organisations. The rise in digital activities has led to an increase in hacking incidents, affecting individuals, businesses, and governments worldwide.

Recent statistics reveal that hacking is responsible for a significant percentage of data breaches, which cause billions of dollars in damages. Understanding the latest hacking trends is crucial for implementing effective security measures to safeguard personal and organisational data.

In 2024, the number of data compromises in the United States stood at 3,158 cases. Meanwhile, over 1.35 billion 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 2024 the financial services, healthcare, and professional services were the three industry sectors that recorded most data breaches. Overall, the number of healthcare data breaches in some industry sectors in the United States has gradually increased within the past few years. However, some sectors saw decrease. 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.

The Password Hacking Software market has evolved significantly in recent years as both a response to and a driver of increasing cybersecurity threats. This software is primarily utilized by security professionals and ethical hackers to assess the robustness of password security systems, identify vulnerabilities, and

Introducing the Hacker News Top Stories Cumulative Dataset, a meticulously curated collection of top-ranked articles from the Hacker News community. This dataset offers a comprehensive view of the most discussed and impactful stories, making it an invaluable resource for researchers, data scientists, and enthusiasts interested in analyzing trends in technology, startups, and digital culture.

Key Features:

Comprehensive Coverage: Aggregates top stories over time, providing a historical perspective on trending topics and discussions within the tech community.

Rich Metadata: Each entry includes detailed information such as the story title, URL, author, publication date, score, number of comments, and the date it was featured as a top story.

Consistent Updates: The dataset is updated daily, ensuring users have access to the latest information and trends.

Potential Use Cases:

Trend Analysis: Identify and analyze emerging topics and shifts in the tech industry over time.

Sentiment Analysis: Examine community reactions and sentiments towards specific events or announcements.

Content Recommendation Systems: Develop algorithms to recommend articles based on popularity and user engagement metrics.

Sociological Research: Study the dynamics of online communities and the dissemination of information.

Data Structure:

The dataset is presented in CSV format with the following columns:

story_id: Unique identifier for each story. title: The headline of the story. url: Direct link to the content. author: Username of the individual who submitted the story. created_at: Timestamp of when the story was published. points: Score indicating the story's popularity. num_comments: Number of comments the story received. scrape_date: Date when the story was added to the dataset. Data Source:

All data is sourced from the Hacker News API, ensuring accuracy and reliability.

Licensing and Usage:

This dataset is released under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication, allowing for unrestricted use in both commercial and non-commercial projects.

Get Started:

To access the dataset and explore its potential applications, visit the Hacker News Top Stories Cumulative Dataset.

Stay ahead of the curve by leveraging this dataset to gain insights into the ever-evolving landscape of technology and innovation.

In the first half of 2024, the share of health-related U.S. data breaches caused by hacking was ** percent, which marked a *** percent increase from 2023, reaching its highest rate since 2014.

Comprehensive YouTube channel statistics for Hacker Om, featuring 3,160,000 subscribers and 1,334,099,943 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Education category and is based in IN. Track 1,168 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Between November 2023 and October 2024, organizations in the manufacturing sector worldwide saw around 818 incidents of data breaches caused by hacking. The healthcare industry ranked second, with 745 data breaches in the measured period. Furthermore, hacking caused 564 data breach incidents in the professional sector.

This data set is Hacker News posts from the last 12 months (up to September 26 2016).

It includes the following columns:

• title: title of the post (self explanatory)

• url: the url of the item being linked to

• num_points: the number of upvotes the post received

• num_comments: the number of comments the post received

• author: the name of the account that made the post

• created_at: the date and time the post was made (the time zone is Eastern Time in the US)

One fun project suggestion is a model to predict the number of votes a post will attract.

The scraper is written, so I can keep this up-to-date and add more historical data. I can also scrape the comments. Just make the request in this dataset's forum.

The is a fork of minimaxir's HN scraper (thanks minimaxir): https://github.com/minimaxir/get-all-hacker-news-submissions-comments

Comprehensive YouTube channel statistics for Mr. Hacker, featuring 3,450,000 subscribers and 689,405,951 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in US. Track 160 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Written as part of a commentary on this PeerJ PrePrint: https://peerj.com/preprints/1266/

Comprehensive YouTube channel statistics for Hacker Gaming 2M, featuring 499,000 subscribers and 42,445,455 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in IN. Track 1,801 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Financial overview and grant giving statistics of Hacker Dojo

Financial overview and grant giving statistics of Hacker Initiative

Hacker News posts and comments

This is a dataset of all HN posts and comments, current as of November 1, 2023.

According to a 2021 online survey conducted in the United States, 37 percent of social media users have had their online profiles hacked. Overall, 77 percent of these hacking incidences occurred on Facebook, and 35 percent occurred on Instagram. Additionally, around a quarter of respondents reported that their Twitter accounts were hacked, whilst 23 percent said that their TikTok accounts had been hacked.

Comprehensive YouTube channel statistics for Simple Life Hacker, featuring 992,000 subscribers and 179,181,012 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Food category and is based in BD. Track 244 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Crazy Rajasthani Hacker, featuring 3,540,000 subscribers and 706,360,858 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Lifestyle category and is based in IN. Track 961 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Context

This dataset contains a randomized sample of roughly one quarter of all stories and comments from Hacker News from its launch in 2006. Hacker News is a social news website focusing on computer science and entrepreneurship. It is run by Paul Graham's investment fund and startup incubator, Y Combinator. In general, content that can be submitted is defined as "anything that gratifies one's intellectual curiosity".

Content

Each story contains a story ID, the author that made the post, when it was written, and the number of points the story received.

Please note that the text field includes profanity. All texts are the author’s own, do not necessarily reflect the positions of Kaggle or Hacker News, and are presented without endorsement.

Acknowledgements

This dataset was kindly made publicly available by Hacker News under the MIT license.

Inspiration

• Recent studies have found that many forums tend to be dominated by a very small fraction of users. Is this true of Hacker News?

• Hacker News has received complaints that the site is biased towards Y Combinator startups. Do the data support this?

• Is the amount of coverage by Hacker News predictive of a startup’s success?

Use this dataset with BigQuery

You can use Kernels to analyze, share, and discuss this data on Kaggle, but if you’re looking for real-time updates and bigger data, check out the data in BigQuery, too: https://cloud.google.com/bigquery/public-data/hacker-news

The BigQuery version of this dataset has roughly four times as many articles.

Facebook is the most visited social network in the world and the number one target for account hacking

Dataset Schema | field name | type | description | | ----------- | --------- | --------------------------------------------------------------------- | | title | STRING | Story title | | url | STRING | Story url | | text | STRING | Story or comment text | | dead | BOOLEAN | Is dead? | | by | STRING | The username of the item's author. | | score | INTEGER | Story score | | time | INTEGER | Unix time | | timestamp | TIMESTAMP | Timestamp for the unix time | | type | STRING | type of details (comment, comment_ranking, poll, story, job, pollopt) | | id | INTEGER | The item's unique id. | | parent | INTEGER | Parent comment ID | | descendants | INTEGER | Number of story or poll descendants | | ranking | INTEGER | Comment ranking | | deleted | BOOLEAN | Is deleted? |