Districtwise Cyber Crimes
The dataset on Districtwise Cyber Crimes in Meghalaya compiles information on cybercrimes in each district, sourced from law enforcement agencies, cybercrime units, and online reporting platforms. It encompasses a range of cybercrimes, including hacking, online fraud, identity theft, and cyberbullying, detailing the nature of the crime, location of incidents, involved parties, and investigation outcomes. This data is vital for shaping effective strategies to prevent and address cybercrimes, guiding law enforcement, policymakers, and cybersecurity experts in their efforts while also serving as a basis for public awareness campaigns and educational initiatives promoting online safety.
Data Dictionary
| Column | Type | Label | Description |
|---|---|---|---|
| id | int4 | index | |
| year | date | Year | |
| state_name | text | State name | |
| state_code | text | State code | |
| district_name | text | District name | |
| district_code | text | District code | |
| registeration_circles | text | Case registered in circle | |
| tampering_computer_source_documents | numeric | Tampering computer source documents under Sec 65 | |
| computer_related_offences | numeric | Computer Related Offences, Dishonestly receiving stolen computer resource or communication device, Identity Theft, Cheating by personation by using computer resource, Violation of Privacy Under Sec 66 | |
| cyber_terrorism | numeric | Cyber Terrorism Under Sec 66F | |
| pub_of_sexually_exp_act_elec_form | numeric | Publication/ transmission of obscene / sexually explicit act in electronic form | |
| intrcptn_montr_decryp_info | numeric | Inter-ception or Monitoring or decryption of Information Under Sec 69 | |
| unauthorized_access_to_protected_computer_system | numeric | Un-authorized access/attempt to access to protected computer system Under Sec.70 | |
| abetment_to_commit_offences | numeric | Abetment to Commit Offences Under Sec 84 B | |
| attempt_to_commit_offences | numeric | Attempt to Commit Offences Under Sec 84C | |
| other_sections_of_it_act | numeric | Other Sections of IT Act | |
| abetment_of_suicide_online | numeric | Abetment of Suicide (Online) Under Sec 305/306 IPC | |
| cyber_stalking_bullying_of_women_or_children | numeric | Cyber Stalking/ Bullying of Women/ Children Sec 354D IPC | |
| data_theft | numeric | Data theft Under Sec 379 to 381 | |
| fraud | numeric | Total Fraud including Credit/Debit card, ATMs, Oline banking, OTP other frauds Under Sec 420 r/w Sec 465,468-471 IPC | |
| cheating | numeric | Cheating Under Sec 420 | |
| forgery | numeric | Forgery Under Sec 465, 468 & 471 | |
| defamation_or_morphing | numeric | Defamation/ Morphing Under Sec 469 IPC r/w IPC and Indecent representation of women Act | |
| fake_profile | numeric | Fake Profile r/w IPC/SLL | |
| counterfeiting | numeric | Total Counter-feiting | |
| cyber_blackmailing_threatening | numeric | Cyber Blackmailing/Threatening Under Sec 506,503,384 IPC r/w IPC/SLL | |
| fake_news_on_social_media | numeric | Fake News on Social Media Under Sec 505 | |
| other_offences | numeric | Other Offences r/w IT Act | |
| gambling_act | numeric | Gambling Act includes Online Gambling | |
| lotteries_act | numeric | Lotteries Act includes Online Lotteries | |
| copy_right_act | numeric | Copy Right Act, 1957 | |
| trade_marks_act | numeric | Trade Marks Act, 1999 | |
| other_sll_crimes | numeric | Other SLL Crimes | |
| total_cyber_crimes | numeric | Total Cyber Crimes |
Additional Information
| Field | Value |
|---|---|
| Data last updated | June 5, 2024 |
| Metadata last updated | June 5, 2024 |
| Created | unknown |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Created | 5 months ago |
| Frequency | Yearly |
| Size | 11,742 |
| Additional info | nan |
| Data extraction page | https://ncrb.gov.in/crime-in-india.html |
| Data insights | Insights that can be drawn from the Districtwise Cyber Crimes data in Meghalaya include identifying patterns and trends in cybercrimes, enabling targeted law enforcement efforts in high-incidence areas. Understanding the prevalent types of cybercrimes, such as phishing or online fraud, helps develop effective preventive measures and strengthen cybersecurity awareness and legal frameworks. It emphasizes the importance of educational initiatives and resources to empower individuals and organizations in safeguarding against cyber threats, fostering a safer digital environment. |
| Data last updated | 2,021 |
| Data retreival date | 2023-10-01 00:00:00 |
| Datastore active | True |
| District no | 11 |
| Granularity | District |
| Has views | True |
| Id | 6391ec2a-dfd9-4460-916f-ef32596a86d0 |
| Idp ready | True |
| Methodology | The process of generating data for cybercrimes in each district is intricate. It starts with incident reporting by local authorities and individuals, followed by data collection and maintenance by law enforcement agencies. Legal involvement, including interviews and digital forensics, supplements the data. Each district maintains its records, and this information is periodically reported to a central agency. Data undergoes classification, analysis, and anonymization, shedding light on trends and areas with high cybercrime rates. Insights guide prevention strategies, awareness campaigns, and legislation. The public's role in reporting and practicing safe online behavior is emphasized, while resource allocation benefits from understanding local cybercrime trends. |
| No indicators | 27 |
| Package id | c0c57ded-d115-40af-85a4-b5c22709b86c |
| Position | 7 |
| Sku | ncrb-cii_cyber_crimes-dt-yr-meg |
| State | active |
| States uts no | 1 |
| Url type | upload |
| Years covered | 2017-2021 |
| Methodology | The process of generating data for cybercrimes in each district is intricate. It starts with incident reporting by local authorities and individuals, followed by data collection and maintenance by law enforcement agencies. Legal involvement, including interviews and digital forensics, supplements the data. Each district maintains its records, and this information is periodically reported to a central agency. Data undergoes classification, analysis, and anonymization, shedding light on trends and areas with high cybercrime rates. Insights guide prevention strategies, awareness campaigns, and legislation. The public's role in reporting and practicing safe online behavior is emphasized, while resource allocation benefits from understanding local cybercrime trends. |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | https://ncrb.gov.in/crime-in-india.html |
| Data Retreival Date | 2023-10-01 00:00:00 |
| Data Last Updated | 2021 |
| Sku | ncrb-cii_cyber_crimes-dt-yr-meg |
| Dataset Frequency | |
| Years Covered | 2017-2021 |
| No of States/UT(s) | 1 |
| No of Districts | 11 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 27 |
| Insights from the dataset | Insights that can be drawn from the Districtwise Cyber Crimes data in Meghalaya include identifying patterns and trends in cybercrimes, enabling targeted law enforcement efforts in high-incidence areas. Understanding the prevalent types of cybercrimes, such as phishing or online fraud, helps develop effective preventive measures and strengthen cybersecurity awareness and legal frameworks. It emphasizes the importance of educational initiatives and resources to empower individuals and organizations in safeguarding against cyber threats, fostering a safer digital environment. |
| IDP Ready | Yes |