Abstract
In recent days, cyber-attacks are rising rapidly by using various new techniques. These attacks have huge impact on organizational and an individual security. As many times an attack has been detected but it is too late to recover the damage perform by that attack. To study on previous attacks some organizations like Defense Advanced Research Project Agency (DARPA) provide offline dataset for researchers. KDD and DARPA dataset attributes was playing a good role in detection of many attacks and further useful in prevention of attacks also. But in recent days, dataset provided by them, become old one and not gives fruitful results. To keep in mind, the technique used in this research work is providing machine readable dataset attributes of specific attacks in a standard format which is CSV (Comma Separated Values) format. The attack data is captured by deploying various honeypot sensors. The achievement of this research work is “sharing of targeted attack data like Brute force Attack, Exploits etc., in machine readable form in standard format”. This information is useful for security researchers, situational awareness programs and security communities. Security testing is another area, also needs some dataset attributes for security testing of the softwares or tools.
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Rattan, A., Kaur, N., Bhushan, S. (2019). Standardization of Intelligent Information of Specific Attack Trends. In: Panigrahi, C., Pujari, A., Misra, S., Pati, B., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-13-0224-4_7
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DOI: https://doi.org/10.1007/978-981-13-0224-4_7
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