Portable TOR Router with Raspberry Pi
Nowadays, internet has become an important part of everyone's lives. The internet has turned out to be a reliable tool for communication, data transfer and many more applications for people from all over the world. An individual's internet activities are being tracked and traced without their knowledge by various means. Thus, online security is a genuine worry for web clients who intend to visit interpersonal interaction locales, make an online transaction, or take an interest in internet diversions, as they need their protection to be ensured. Internet browsing is not anonymized as many Internet Service Providers (ISP's) could legally sell users information without informing users. People's internet activities are being tracked and traced by ISPs. Moreover, network spies and snooping attempts are very hard to be defeated as an ample network snooping tools are available in the market. These issues can be curbed by using a router that has anonymous browsing infrastructure. However, most of the routers that gives anonymous browsing are not portable. From this project, people will be able to browse anonymously without being traced. Besides that, network snooping and spying attempts can be defeated. Finally, a portable The Onion Routing (TOR) router can be created with a Raspberry Pi..
Environment indoor air quality assessment using fuzzy inference system
Abstract Environment indoor quality (EIQ) is a significant aspect of the built environment to maintain occupant health, comfort, prosperity and productivity. One of the most critical issues on EIQ is the environment of indoor air quality (EIAQ). Indoor air pollution has a big impact on the degradation quality of human life due to harmful chemicals and other toxic materials that it is worsened by ten times than the outdoor air pollution. Environment indoor air quality index (EIAQI) does a crucial role in determining the EIAQ that is good for a healthy human life by combining indoor air quality index (IAQI) and thermal comfort index (TCI). This research presents an EIAQ monitoring and controlling system based on fuzzy logic controller (FLC) to identify, classify and calculate the EIAQI value expressed in four categories: excellent, good, bad and worst. Additionally, the clustering technique is used to categorize the air pollutants according to the similarities characteristics and human health impact. EIAQI values are used as index references to set the control system automatically. The control system is used as a system that can notify the status level and reduce indoor air and thermal comfort pollutants and is in the form of fans, inlet–outlet exhaust, and buzzer and LED. Therefore, these models are an appropriate tool for identifying, classifying, assessing, providing guidance to increase the quality of human life.
Revealed: How US and UK Spy Agencies Defeat Internet Privacy and Security
The article discusses how British and U.S. intelligence agencies have cracked much of the online encryption used in daily transactions such as email, banking, and health records. The article explains that NSA and GCHQ are engaged in covert measures.