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The Problem Of Cyber Security Solutions

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The seemingly exponential growth of the Internet has resulted in a largely unforeseen increase in the type, frequency and variety of cyber attacks[20]. These attacks can be very expensive and difficult from which to recover. Because of this there is a need to know what traffic should be permitted and what is malicious[22]. To this end there are many well known cyber-security solutions are in place to counteract these attacks such as firewalls, anti-virus software and IDS (Intrusion Detection System) [23]. Many of these require manual analysis however and approaches such as relying on host dependencies, profiling host behaviors or using deep packet inspection have been developed. These approaches have scalability issues though making them less than optimum in high speed networks [23]. The generation of Big Data over computer networks is quickly making all of these solutions somewhat obsolete though. To alleviate this problem and enhance the overall level of a system’s security, the application of Big Data Analytics techniques to cybersecurity have become an area of great interest. These applications can be used to assist those administrating networks in the monitoring and real-time detection of anomalous behavior in network streams[20].

An intrusion detection system (IDS), as mentioned previously is a cyber-security solution designed to defend against network attacks. It however does not prevent attacks like an Intrusion Prevention System (IPS) [27]. It is considered

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