Malware attacks have become very common in recent years. The variety and continuous improvement of malware capabilities threaten any network. Wi-Fi is also not an exception in that context. This paper proposes a model describing the spreading of malware inWi-Fi networks using an epidemiological mathematical model. This model is built on the characteristics of encryption and authentication in Wi-Fi networks. In addition, we also consider state transitions of devices based on some assumptions about modern malware capabilities. We calculate the basic reproduction number R0 and thereby indicate the condition to limit the spread of malware. This spreading model is analyzed through numerical simulation. Besides, for the readers to have an overview of the main threats and the security capabilities of the Wi-Fi devices, we also briefly present security threats and encryption methods used in Wi-Fi.

https://ieeexplore.ieee.org/ielx7/6287639/6514899/09794726.pdf

Malware Spreading Model for Routers in Wi-Fi Networks

Malware attacks have become very common in recent years. The variety and continuous improvement of malware capabilities threaten any network. Wi-Fi is also not an exception in that context. This paper proposes a model describing the spreading of malware inWi-Fi networks using an epidemiological mathematical model. This model is built on the characteristics of encryption and authentication in Wi-Fi networks. In addition, we also consider state transitions of devices based on some assumptions about modern malware capabilities. We calculate the basic reproduction number R<sub>0</sub> and thereby indicate the condition to limit the spread of malware. This spreading model is analyzed through numerical simulation. Besides, for the readers to have an overview of the main threats and the security capabilities of the Wi-Fi devices, we also briefly present security threats and encryption methods used in Wi-Fi. 

The content in the present paper reviews the attack carried out to decipher WEP, WPA, and WPA2 passwords using a tool named Fluxion. Before understanding how the tool works, brief information about the security protocols is given so that comprehending the attack more undoubtedly. At the same time, we compare Fluxion to other pre-existing tools used to crack Wi-Fi passwords and then list out the major differences between them. This comparison is done to evaluate the efficacy and success rate of Fluxion. In conclusion, this research and attack are performed to provide a deeper insight into WEP, WPA, and WPA2 cracking.

Deciphering WEP, WPA, and WPA2 Pre-shared Keys Using Fluxion

The climatic conditions in India are among the best that can be used maximise solar energy potential and are capable enough to make solar energy serve the purpose as an alternative source of electricity to Thermal and Hydro electricity. However, the high installation costs of the solar panel coupled has prevented solar energy growth in the country. But when looked at from a broader perspective, solar energy can decrease the costs for electricity as well as help to reduce the adverse effects of using non-renewable energy resources like Thermal electricity. The proposed system determines a mechanism to estimate the amount of savings that an individual could make by using a solar panel on their rooftop. Deep Learning is applied to process and segment the rooftop images while removing obstructions such as trees, electric poles etc. and estimate the area of the rooftop. The solar radiation values and weather patterns of a region are considered and the calculated area is used to predict the amount of energy that can be produced by installing a solar panel on the roof.

Revanth Rallabandi

Papers

Deciphering WEP, WPA, and WPA2 Pre-shared Keys Using Fluxion

Estimating Savings Potential of Solar Energy