Abstract
Intruders and thieves are important threats to most business and large organizations. These threats and unwanted materials create many disturbances in storing of the data on large scale especially in cloud computing. So maintaining security against these threats is important in any organizations. Security could be of different types like hardware security, software security, malicious behavior of attackers, and many others besides security; many organizations try to introduce many methods which will provide malicious behaviors of attackers so that an alert message will propagate throughout the whole system so that even if some attacker tries to break down the security an alert message is generated. Such a model is the intrusion detection system. An intrusion detection system (IDS) is a hardware device or software application that monitors network and/or system or host activities for malicious activities’ policy violations, creates and sends reports to a management station or system administrator which decides whether to take an action on the intrusion or it was only a false alarm. In this paper, we introduce a model or system called snort which is an intrusion detection system based upon rules detection and has the ability to control traffic and matching data with the original database and allows only data to flow which matches with the original database.
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Mishra, V., Vijay, V.K., Tazi, S. (2016). Intrusion Detection System with Snort in Cloud Computing: Advanced IDS. In: Satapathy, S., Joshi, A., Modi, N., Pathak, N. (eds) Proceedings of International Conference on ICT for Sustainable Development. Advances in Intelligent Systems and Computing, vol 408. Springer, Singapore. https://doi.org/10.1007/978-981-10-0129-1_48
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DOI: https://doi.org/10.1007/978-981-10-0129-1_48
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