Skip to main content

Tiktok ban in India

In a massive development, the Home Ministry on Monday, has banned 59 Chinese Apps including Tik-Tok. The Centre has stated that it has recieved  many complaints from various sources including several reports about misuse of these apps  for stealing and surreptitiously transmitting users' data in an unauthorized manner to servers which have locations outside India. Hence, in a move to protect  sovereignty of Indian Cyberspace and to ensure interests of crores of Indian mobile users, the government has stated that this was a major blow  to China's Digital Silk Route ambitions. This move comes amid the ongoing India-China standoff at the Line of Actual Control (LAC).
Here are the list of apps:

1. TikTok
2. Shareit
3. Kwai
4. UC Browser
5. Baidu map 
6. Shein 
7. Clash of Kings 
8. DU battery saver 
9. Helo 
10. Likee
11. YouCam makeup 
12. Mi Community 
13. CM Browers 
14. Virus Cleaner 
15. APUS Browser 
16. ROMWE 
17. Club Factory 
18. Newsdog 
19. Beutry Plus 
20. WeChat 
21. UC News 
22. QQ Mail 
23. Weibo 
24. Xender 
25. QQ Music 
26. QQ Newsfeed 
27. Bigo Live 
28. SelfieCity 
29. Mail Master 
30. Parallel Space 31. Mi Video Call ' Xiaomi 
32. WeSync 
33. ES File Explorer 
34. Viva Video ' QU Video Inc 
35. Meitu 
36. Vigo Video 
37. New Video Status 
38. DU Recorder 
39. Vault- Hide 
40. Cache Cleaner DU App studio 
41. DU Cleaner 
42. DU Browser 
43. Hago Play With New Friends 
44. Cam Scanner 
45. Clean Master ' Cheetah Mobile 
46. Wonder Camera 
47. Photo Wonder 
48. QQ Player 
49. We Meet 
50. Sweet Selfie 
51. Baidu Translate 
52. Vmate 
53. QQ International 
54. QQ Security Center 
55. QQ Launcher 
56. U Video 
57. V fly Status Video 
58. Mobile Legends 
59. DU Privacy
 

Tiktok's previous bans

Earlier in April 2019, TikTok was briefly banned in India by the Madras High Court for hosting 'pornographic and sleazy' content. Recently millions of Indian users had also millions of Indians called for a ban on the app after videos promoting violence against women went viral, with NCW chief Rekha Sharma seeking a total ban on it. Zoom too had been called out for security issues, with the government then issuing a notification for safe usage of the application.
🌍




....

Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://g.page/vineeshvc
🌏🌎
🌐🌍

Comments

Popular posts from this blog

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...

History of GIS

The history of Geographic Information Systems (GIS) is rooted in early efforts to understand spatial relationships and patterns, long before the advent of digital computers. While modern GIS emerged in the mid-20th century with advances in computing, its conceptual foundations lie in cartography, spatial analysis, and thematic mapping. Early Roots of Spatial Analysis (Pre-1960s) One of the earliest documented applications of spatial analysis dates back to  1832 , when  Charles Picquet , a French geographer and cartographer, produced a cholera mortality map of Paris. In his report  Rapport sur la marche et les effets du choléra dans Paris et le département de la Seine , Picquet used graduated color shading to represent cholera deaths per 1,000 inhabitants across 48 districts. This work is widely regarded as an early example of choropleth mapping and thematic cartography applied to epidemiology. A landmark moment in the history of spatial analysis occurred in  1854 , when  John Snow  inv...

Pre During and Post Disaster

Disaster management is a structured approach aimed at reducing risks, responding effectively, and ensuring a swift recovery from disasters. It consists of three main phases: Pre-Disaster (Mitigation & Preparedness), During Disaster (Response), and Post-Disaster (Recovery). These phases involve various strategies, policies, and actions to protect lives, property, and the environment. Below is a breakdown of each phase with key concepts, terminologies, and examples. 1. Pre-Disaster Phase (Mitigation and Preparedness) Mitigation: This phase focuses on reducing the severity of a disaster by minimizing risks and vulnerabilities. It involves structural and non-structural measures. Hazard Identification: Recognizing potential natural and human-made hazards (e.g., earthquakes, floods, industrial accidents). Risk Assessment: Evaluating the probability and consequences of disasters using GIS, remote sensing, and historical data. Vulnerability Analysis: Identifying areas and p...

Supervised Classification

In the context of Remote Sensing (RS) and Digital Image Processing (DIP) , supervised classification is the process where an analyst defines "training sites" (Areas of Interest or ROIs) representing known land cover classes (e.g., Water, Forest, Urban). The computer then uses these training samples to teach an algorithm how to classify the rest of the image pixels. The algorithms used to classify these pixels are generally divided into two broad categories: Parametric and Nonparametric decision rules. Parametric Decision Rules These algorithms assume that the pixel values in the training data follow a specific statistical distribution—almost always the Gaussian (Normal) distribution (the "Bell Curve"). Key Concept: They model the data using statistical parameters: the Mean vector ( $\mu$ ) and the Covariance matrix ( $\Sigma$ ) . Analogy: Imagine trying to fit a smooth hill over your data points. If a new point lands high up on the hill, it belongs to that cl...

Atmospheric Correction

It is the process of removing the influence of the atmosphere from remotely sensed images so that the data accurately represent the true reflectance of Earth's surface . When a satellite sensor captures an image, the radiation reaching the sensor is affected by gases, water vapor, aerosols, and dust in the atmosphere. These factors scatter and absorb light, changing the brightness and color of the features seen in the image. Although these atmospheric effects are part of the recorded signal, they can distort surface reflectance values , especially when images are compared across different dates or sensors . Therefore, corrections are necessary to make data consistent and physically meaningful. 🔹 Why Do We Need Atmospheric Correction? To retrieve true surface reflectance – It separates the surface signal from atmospheric influence. To ensure comparability – Enables comparing images from different times, seasons, or sensors. To improve visual quality – Remo...