Identification of Attacks Using Proficient Data Interested Decision Tree Algorithm in Data Mining

Data Mining: Investment risk in the bank

“…In today's age, intelligence wars are waged mostly on the computer in the form of intrusion, or the process of accessing a network without leaving a trace of a foreign presence [7]. To fight this, governments use different forms of Intrusion Detection Systems, or IDS's, to identify if an intrusion is threatening.…”

“…Signature detection programs analyze known attacks to develop unique characteristics, or signatures, to compare to new intrusions in order to help identify if the attack is malicious or harmless [7]. However, this method does not work well with unknown attack methods.…”

“…If any abnormal behavior is detected, it is flagged as a possible threat. However, this technique often leads to false alarms [7]. Even with the use of these two techniques, private networks can still be breached, although, by adding in a data mining tool, the defense algorithms can be more efficient and more expansive in identifying threats.…”

“…With the use of data mining, IDS's can quickly recognize data of interest to the user and efficiently sort it into categories based off of severity, complexity, or whatever else the user desires [7]. Figure 3 illustrates the decision process of an IDS integrated with data mining.…”

“…Integrating data mining into the system allows the program to seize all of the information going to and from the network. This gives the user more information as to what is normal and what is an anomaly, allowing for the signature and anomaly techniques to be more inclusive in their data intake and more accurate in their conclusions [7]. FIGURE 3 The above figure illustrates the decision process of a data mining integrated IDS [5].…”