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

Radar Remote Sensing SAR

1. Radar and Radar Remote Sensing RADAR stands for Radio Detection and Ranging . It is an active remote sensing system that transmits microwave energy toward the Earth's surface and records the energy that is returned to the sensor as an echo or backscatter . Unlike passive optical remote sensing, radar does not depend on sunlight. Therefore, it can operate day and night and, at suitable wavelengths, can acquire data through clouds, haze and light rain. Hence, radar is widely described as an all-weather, day-and-night remote sensing technology . Basic principle Microwave pulse → transmission → interaction with surface → backscatter/echo → antenna receives signal → signal processing → radar image 2. Microwave Energy Radar systems use microwave electromagnetic radiation , generally in wavelength ranges from approximately 1 mm to 1 m . Important radar bands include: Band Approx. wavelength Common applications ...

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...

Lidar

LiDAR (Light Detection and Ranging) is an active remote sensing technology that measures distances by illuminating a target with laser pulses and analyzing the time it takes for the reflected light to return. Unlike passive systems (e.g., cameras, multispectral sensors), LiDAR provides its own energy source (laser), allowing it to operate both day and night and even penetrate through vegetation canopies . 🔹 How LiDAR Works (Step-by-Step Process) Laser Pulse Emission The system emits rapid, short pulses of laser light (commonly in the near-infrared wavelength, 1064 nm ). Some systems emit up to hundreds of thousands of pulses per second . Interaction with Target Surface The laser beam strikes objects such as vegetation, buildings, or bare ground. Depending on the object's structure, part of the pulse may scatter or reflect. Return Signal Detection The sensor records multiple returns : First Return → typically vegetation canopy tops. ...

Geometric Correction

When satellite or aerial images are captured, they often contain distortions (errors in shape, scale, or position) caused by many factors — like Earth's curvature, satellite motion, terrain height (relief), or the Earth's rotation . These distortions make the image not properly aligned with real-world coordinates (latitude and longitude). 👉 Geometric correction is the process of removing these distortions so that every pixel in the image correctly represents its location on the Earth's surface. After geometric correction, the image becomes geographically referenced and can be used with maps and GIS data. Types  1. Systematic Correction Systematic errors are predictable and can be modeled mathematically. They occur due to the geometry and movement of the satellite sensor or the Earth. Common systematic distortions: Scan skew – due to the motion of the sensor as it scans the Earth. Mirror velocity variation – scanning mirror moves at a va...

Isodata clustering

Iso Cluster Classification in Unsupervised Image Classification Iso Cluster Classification is a common unsupervised classification technique used in remote sensing. The "Iso Cluster" algorithm groups pixels with similar spectral characteristics into clusters, or spectral classes, based solely on the data's statistical properties. Unlike supervised classification, Iso Cluster classification doesn't require the analyst to predefine classes or training areas; instead, the algorithm analyzes the image data to find natural groupings of pixels. The analyst interprets these groups afterward to label them with meaningful information classes (e.g., water, forest, urban). How Iso Cluster Classification Works The Iso Cluster algorithm follows several steps to group pixels: Initial Data Analysis : The algorithm examines the entire dataset to understand the spectral distribution of the pixels across the spectral bands. Clustering Process :    - The algorithm starts by divid...