海角社区

When you purchase an IP-based spy (hidden) camera for surveillance, are you aware that others may be spying on what you are watching? Recent research by in the Department of Computer Science, 海角社区, as part of his third-year undergraduate dissertation project under the supervision of Professor , has revealed a wide range of vulnerabilities of a generic camera module that has been used in many best-selling hidden cameras. Exploiting these vulnerabilities, an attacker may capture your hidden camera's video/audio streams from anywhere in the world, and furthermore, take complete control of the camera as a bot to attack other devices in your home network. To launch the attack, all the attacker needs to know is merely your hidden camera鈥檚 serial number. It is estimated that these vulnerabilities affect millions of hidden cameras, mostly sold in America, Europe and Asia. The (insecure) peer-to-peer network that is used by the affected cameras is also being used by 50 million IoT devices as a general communication platform. Hence, many millions of other IoT devices may also be affected. Researchers have responsibly disclosed findings to the manufacturers, and a has already been assigned. Samuel will present this research work at the 17th International Conference on Network and System Security (Canterbury, UK, 14-16 August 2023). More details can be found in .

We recently hosted our flagship careers event, find out what went on and who attended.

We welcomed back previous UG students on the 12th July for the 海角社区 Celebrates event. Thank you Ranko for your inspiring speech from the balcony!

The inaugural DCS Innovation competition was held on 17th June and was a great success.

Jasmine Brown, a Computer Science student at the University of 海角社区 has been named one of 2022鈥檚 MLH Top 50–a list of the organization鈥檚 most inspiring community members. The recipients are recognized for their exceptional contributions to the tech ecosystem & STEM education.

Congratulations to our new graduates, who will be receiving their results today!

Below is a video from our Head of Department, Professor Ranko Lazi膰, celebrating the occasion.

Well done, we wish you all the best for your careers, and we hope you stay in touch!

Congratulations to third-year Computer Science student Hengrui Zhang, who has had an abstract accepted at the (BCUR 2021). Hengrui鈥檚 abstract, titled "Emotional Adjusted Chinese Sentiment Analysis", proposes a new and enhanced sentiment analysis model, SETCM, which combines the advantages of sentiment lexicon, emoji and neural computing technology. The proposed method overcomes the shortcomings of existing sentiment analysis on Chinese-language text. It is based on the work that Hengrui has completed as part of his third-year project, supervised by Dr Greg Watson.