EFFECTIVE WAYS TO PREVENT HIDDEN HACKING OF WEBCAMS

This article discusses effective ways to prevent the intrusion of webcams into the civil and public sectors. In addition, several high-profile attacks on webcams, as well as high-profile cases of covert breaches of webcams in the civilian and government sectors, were discussed in an effort to raise awareness of webcam security issues. Hacking a webcam is a violation of privacy and security of users. This article discusses the causes and consequences of webcam hacking, as well as their impact on victims and society at large.
Reasons for hacking a webcam include encouraging hackers, the desire to access personal information, espionage, or even threats and blackmail. These attacks may be motivated by financial gain, invasion of privacy, or simply for fun. The article examines the various methods attackers use to compromise webcams, including exploiting vulnerabilities, phishing attacks, malware, and remote access tools.
The consequences of hacking a webcam can be devastating. Victims face loss of privacy, violation of confidentiality, as well as possible damage to their reputation. It can also lead to psychological and emotional problems such as stress and anxiety.
The impact of webcam hacks on society raises questions about cybersecurity and the need to strengthen the protection of personal devices and data. It also highlights the importance of educating users about network security rules and the use of strong passwords.

1. Preventing Covert Webcam Hacking in the Civilian and Governmental Sectors / A. Sydney Jones et al // International Conference on Computational Science and Computational Intelligence (CSCI). – 2016. https://doi.org/10.1109/CSCI.2016.0190.

2. M. Asim Tech, Camera Hacking Using Termux. – 2022. https://www.masimtech.com/2022/01/Camera-Hacking-Using-Termux.html.

3. Kharb L. RAT: Remote Administrative Trojan / L. Kharb, S. Singh // Techniques To Avoid Webcam Hacking. Pallavi Suresh Poojary. – 2019. – Р. 50-53.

4. Preventing Covert Webcam Hacking in the Civilian and Governmental Sectors / A.S. Jones et al // International Conference on Computational Science and Computational Intelligence (CSCI). – 2016. https://doi.org/10.1109/CSCI.2016.0190.

5. Adhikarla E. Face Mask Detection on Real / E. Adhikarla, B.D. Davison // Proceedings of the Conference on Information Technology for Social Good. – 2021. https://doi.org/10.1145/3462203.3475903.

6. Proceedings of the ACM on Interactive / Y. Do et al // Wearable and Ubiquitous Technologies/ – 2021. – № 154. – Vol. 5. – Р. 1-21. https://doi.org/10.1145/3494983.

7. Fa Zh. Civilian Characteristics and Casualties Of Terrorist Attacks in Public Places / Zh. Fa, W. Song-Chun, S. Zhi-Hua // ICCMS '20: Proceedings of the 12th International Conference on Computer Modeling and Simulation. – 2020. – P. 109-114. https://doi.org/10.1145/3408066.3408070.

8. Wisiecka K. Comparison of Webcam and Remote Eye Tracking / K. Wisiecka, I. Krejtz, D. Sromek // ETRA '22: Symposium on Eye Tracking Research and Applications. – 2022. – № 32. – P. 1-7. https://doi.org/10.1145/3517031.3529615.

9. Adhikarla E. Face Mask Detection on Real-World Webcam Images / E. Adhikarla, B.D. Davison // Proceedings of the Conference on Information Technology for Social Good. – 2021. – P. 139-144. https://doi.org/10.1145/3462203.3475903.

10. Sowjanya P.L. Image Encryption Using Secure Force Algorithm With Affine Transform For Wsn / P.L. Sowjanya, K.S. Lorraine // Webology. – 2022. – Vol. 19, № 1. http://www.webology.org.