Monitor For Detection And Prevention Of Fake Agents

Random fake objects show the results like as a data loss problems. Now we are introduces the new techniques like guilt aversion agents implementation. Guilt aversion agents detect the selfish behavior content identification and different attacks detects. Using Guilt model analysis find out noisy objects. Those fake objects identification using different kinds of methods, techniques and algorithms. We are gives importance to minimization algorithms and quasi optimization experiments. These kinds of methods provide the best results compare to remaining techniques. In this techniques implement some different kinds of conditions based on application. Using Awake agents find out good importance results identification process.