Abstract
Intrusion detection system (IDS) is a software application which monitors the system, network activities, finds vulnerabilities if present, and protects digital data in a safe manner. An IDS monitors network traffic and data, features selection, analysis and action or detection, and also alert generation during life cycle. Firewall technique is one of the system-based protection techniques which is used to protect the private network from the public network. The areas where IDSs are used are in financial, healthcare, technical fields like MANET, cloud computing and its security, data mining. There are three types of intrusion detection systems—HIDS, NIDS, and APIDS. HIDS is based on sensors, where it can obtain data from operating system. HIDS can also tell attacker’s activity by analyzing network. NIDS is also based on network sensors. NIDSs can collect network information and can audit network attacks, while packet is moving across the network. APIDS works based on behavior and event of the protocol. IDS prevents various attacks based on OSI layer like DoS or DDoS attack, eavesdropping, spoofing, U2R, logon abuse, application-based. IDS system can be affected by the signal strength where in this paper the objective is to enhance detection rate of intrusion detection system based on Wi-fi optimization where we have tried to show that how some basic materials can affect intrusion detection system through Wi-fi signal strength.
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Deb, S.K., Bhowmik, A., Maity, B., Sarkar, A., Chattopadhyay, A. (2019). Wi-Fi Optimization Using Parabolic Reflector and Blocking Materials in Intrusion Detection Systems. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore. https://doi.org/10.1007/978-981-13-1501-5_67
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DOI: https://doi.org/10.1007/978-981-13-1501-5_67
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