%0 Journal Article %1 Sara_2015 %A Banu, Sayyada Sara %A Uma, Dr.Perumal %A Ashfaque, Mohammed Waseem %A N.Naveed, Quadri %A Ahmed, Quadri S.S Ali %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K Activity Algorithm Anomaly Cyber Data Detection Fuzzy Genetic Logic Mining Modeling Monitoring Terrorist Trend User crime %N 3 %P 1226--1231 %R 10.17762/ijritcc2321-8169.150373 %T Data Mining based Soft Computing Skills towards Prevention of Cyber Crimes on the Web %U http://dx.doi.org/10.17762/ijritcc2321-8169.150373 %V 3 %X Internet is the vital resource of Information technology through which the source of Information can be transfer from one machine to anther machine ,information can be receive from one machine and it can be processed and send to another one in this sense it become a great hub distribution of information resources. Now that information can be utilized for educational, for commercial, for personal, by means of that has a various shapes and structure of its necessity. And this results into the traffic over the Internet. Therefore a robust and ideal methodology need to produced for tracing and detecting terror based activities by using traffic content as the auditing of information is being shown These methodologies read and detect the Abnormal and typical behavior of terrorist by using and applying various algorithms of Data Mining and the textual content of terror related web sites and finally profile is give and used by the system to take a real action in the form of tracing and detecting of such suspected person which are evolves in terror activities. As a modern term of computer science its combines with neural networks, artificial intelligence and advanced information technology in the terms of Web or Internet, no doubt Data mining also has a wide scope and verities of large range of web based Applications, with reference to the soft computing Technology which combines with Fuzzy Logic, Artificial Intelligence, Neural networks, and genetic Algorithm in the proposed computing. In this paper the various approaches of soft computing is discussed

@article{Sara_2015, abstract = {Internet is the vital resource of Information technology through which the source of Information can be transfer from one machine to anther machine ,information can be receive from one machine and it can be processed and send to another one in this sense it become a great hub distribution of information resources. Now that information can be utilized for educational, for commercial, for personal, by means of that has a various shapes and structure of its necessity. And this results into the traffic over the Internet. Therefore a robust and ideal methodology need to produced for tracing and detecting terror based activities by using traffic content as the auditing of information is being shown These methodologies read and detect the Abnormal and typical behavior of terrorist by using and applying various algorithms of Data Mining and the textual content of terror related web sites and finally profile is give and used by the system to take a real action in the form of tracing and detecting of such suspected person which are evolves in terror activities. As a modern term of computer science its combines with neural networks, artificial intelligence and advanced information technology in the terms of Web or Internet, no doubt Data mining also has a wide scope and verities of large range of web based Applications, with reference to the soft computing Technology which combines with Fuzzy Logic, Artificial Intelligence, Neural networks, and genetic Algorithm in the proposed computing. In this paper the various approaches of soft computing is discussed}, added-at = {2015-08-11T07:16:18.000+0200}, author = {Banu, Sayyada Sara and Uma, Dr.Perumal and Ashfaque, Mohammed Waseem and N.Naveed, Quadri and Ahmed, Quadri S.S Ali}, biburl = {https://www.bibsonomy.org/bibtex/20c0b11646f7a1bcfa0a3d94449b98cd1/ijritcc}, doi = {10.17762/ijritcc2321-8169.150373}, interhash = {68ccccf2536b3c849562f2df5d8deaa7}, intrahash = {0c0b11646f7a1bcfa0a3d94449b98cd1}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {Activity Algorithm Anomaly Cyber Data Detection Fuzzy Genetic Logic Mining Modeling Monitoring Terrorist Trend User crime}, month = {march}, number = 3, pages = {1226--1231}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-11T07:16:18.000+0200}, title = {Data Mining based Soft Computing Skills towards Prevention of Cyber Crimes on the Web}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150373}, volume = 3, year = 2015 }