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Even a small change in the source string changes the computed function, so the message digests can be used to detect data tampering There are several algorithms available to compute such hash functions, including MD5 and SHA-1, which all generate a different bit length digest the longest digests provide a relatively stronger guarantee of collision resistance; that is, when the same digest is computed from the same piece of data Fortunately, the probability of doing this is very low The bit lengths of MD5 and SHA-1 are 128 and 160 bits, respectively Accurate data has all the properties of data integrity, plus an assurance that what a piece of data claims to be is what it actually is Thus, a username of nine characters cannot be an accurate login if the maximum length is eight characters.

The Spirit Rover which was sent to Mars, was equipped with a 140 W array. We see the increasing penetration of robots into our households Roomba and Scooba are household names and represent readily available domestic robots. However, at present, service robots need clumsy recharging stations. What if your domestic robots could roam freely around your house powered by nothing more than the sun shining through your window, and the ambient light in your rooms

Indeed, the many buffer-overflow attacks of recent years have exploited excess data length as a key mechanism for bringing down applications that don t explicitly check for data accuracy..

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An issue related to integrity is authenticity that is, given a piece of data that has demonstrated integrity, how do you know that it is authentic If multiple copies of data exist, and they all pass integrity checks, how do you know whether they are consistent with each other If multiple copies of a piece of data exist, and one or more copies are inconsistent, how do you establish which one (or more) copies is authentic The issues of authenticity and consistency are closely related in distributed systems.

How can you determine whether data is authentic The most common method is to authenticate the principal who is presenting the data The most common form of authentication is a username and password combination The username represents the identity of a specific principal, and is known publicly, while the password is a secret token that (in theory) is known only by the user In practice, users create passwords that can be easily guessed (eg, birth date, middle name, vehicle registration) or that are written down somewhere (eg, on a Post-it Note, a sheet of paper in the top drawer, or a whiteboard) If the password consists of a string of random characters of sufficient length that is equally probable as any other random string to be guessed, and if the password is secret, then the system works well.

Defining sufficient length is sometimes difficult the UNIX standard for passwords is eight case-sensitive alphanumeric characters, while most ATM PINs are four digits Thus, there are 104 (10,000) possible ATM PIN permutations, while there are approximately 948 (6,095,689,385,410,816) possible UNIX password permutations UNIX authentication typically permits three incorrect logins before a delay of 15 seconds, to prevent brute-force attacks If an automated sequence of three login attempts took 1 second, without any delays, then a search of all possible passwords would take around 193,293,042 years Of course, there are potentially ways around this if the shadow password file can be directly obtained, then the search space can be partitioned and the generation of candidate passwords can be parallelized Using a good password-guessing program like Crack on a fast computer with a shadow password file can usually yield results within a matter of minutes or hours if passwords are weak.

There are more sophisticated mechanisms for authentication that revolve around two different strategies strong identification and strong authentication Strong identification typically means using an identifier that cannot be presented by anyone other than the intended user These identifiers are usually biometric iris scans, face recognition, and fingerprint recognition are becoming more commonly used as identifiers Of course, there are concerns that the strength of identification can be easily compromised an eye could be plucked and presented to the monitor, or its patterns transcribed holographically In these cases, the scanners are sensitive enough to detect whether the eye is living and will reject scans that do not meet this criteria Face recognition systems are very reliable with a small number of samples, but often have problems scaling up to identify individuals within pools of thousands, millions, or even billions of potential users..

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