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i have a problem with my website and that is someone make tremendous amount of fake comments and when i explore the comment details i realize that these comments generated from different locations around the world with different IP addresses . i assume that this cant done by peoples or different computers around the glob , i'm sure it's accomplished with a programming job . my question is not about how to prevent this , i'm asking HOW he/she generates fake IP addresses ?
To distill the answers out of the comments (in order of most likely case):
"Anonymity networks" like Tor etc.
Anonymous proxy
Botnet
Forged/Spoofed IP address
there are some more, usually a bit more "far fetched", options left out in this answer because these aren't likely used to spam comments.
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I'd like to write some library/app to interact with Galaxy Buds.
I assume that this would require me to somehow sniff packages it sends to my mobile telephone and get which corresponds to what command(volume/pause/play) and so on. And then write some wrapper for it? I'd like to make this app/library reusable between different Linux distros, and not-that-hard-portable to Mac OS.
Knowing all that I still in the place where I'm not sure where to start from.
I'd appreciate suggestions to any part of this process e.g (Programming language selection, software for BT sniffing ...)
I do have some experience with C#/Java/C++, but I'm willing to learn if these aren't most suitable for solving the issue.
I don't know that much about the libraries needed for such a solution, but as far as sniffing is concerned, I know that Wireshark (WireShark_Bluetooth_Sniffing) is a good starting place.Once you isolate the touch commands, I assume you can map them to media commands, as described here: D-Bus_Media_Commands
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Does the current Linux kernels implements some form of page coloring when assigning virtual to physical address mapping?
Arka
No.
Linus said:
there have been at least four different major cache coloring trials
for the kernel over the years. This discussion has been going on since the
early nineties. And none of them have worked well in practice.
Reasons are that it adds too much cost to the page free/page alloc paths, and it's pointless
because caches have become associative so that there is no need.
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I'm trying to implement a system using node.js in which a number of sites would contain js loaded from a common host, and trigger an action when some user visits n+ sites.
I suppose a nosql solution storing a mapping of ip address => array of sites visited would be preferable to a RDBM both in terms of performance and simplicity. The actions I need are "add to array if not there already" and getting the length of the array. Also, I wouldn't like it all to sit in memory all the time, since the db might get large some day.
What's a system that fits these requirements the best? MongoDB seems like a nice option given $addToSet exists, but maybe there's something better in terms of RAM usage?
When I hear about working with lists or sets, the first choice is Redis
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What are applications where search techniques or more specifically planning techniques are used? I am most interested in examples in use.
I know that A* is used for path planning in Robotics, that planning is used in logistics (details would be great) but what other usages are there?
For Search in general Google, etc come to mind with their inverted indices. Again, where else is it used?
For planning examples, including logistics challenges, take a look at this list. Each use case comes with multiple datasets and a problem definition.
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Is is possible to query the current browser from within an applet?
I would like to know if the current browser is IE6 or IE7.
Here's something for ya: http://www.rgagnon.com/javadetails/java-0160.html
User-Agent detection code is quite old (stops at IE6) but should be easily extended. Should be combined with R. Gagnon code pointed by Filip, for better detection of real browser (some browsers allows to alter user agent string at will).
You might be interested by the List of User Agent Strings too.
For information, the User-Agent detection code has been updated with the latest browsers.