It takes the average reader 1 hour and 12 minutes to read Pervasive Wireless Environments: Detecting and Localizing User Spoofing by Jie Yang
Assuming a reading speed of 250 words per minute. Learn more
This Springer Brief provides a new approach to prevent user spoofing by using the physical properties associated with wireless transmissions to detect the presence of user spoofing. The most common method, applying cryptographic authentication, requires additional management and computational power that cannot be deployed consistently. The authors present the new approach by offering a summary of the recent research and exploring the benefits and potential challenges of this method. This brief discusses the feasibility of launching user spoofing attacks and their impact on the wireless and...
Pervasive Wireless Environments: Detecting and Localizing User Spoofing by Jie Yang is 72 pages long, and a total of 18,144 words.
This makes it 24% the length of the average book. It also has 22% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 39 minutes to read Pervasive Wireless Environments: Detecting and Localizing User Spoofing aloud.
Pervasive Wireless Environments: Detecting and Localizing User Spoofing is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Pervasive Wireless Environments: Detecting and Localizing User Spoofing by Jie Yang is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Pervasive Wireless Environments: Detecting and Localizing User Spoofing by Jie Yang on Amazon click the button below.
Buy Pervasive Wireless Environments: Detecting and Localizing User Spoofing on Amazon