Monis Akhlaq

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— Network Intrusion Detection Systems (NIDS) are considered as essential mechanisms to ensure reliable security. Intrusive model is used in signature-based NIDS by defining attack patterns and applying signature-matching on incoming traffic packets. Thousands of signatures and rules are created to specify different attacks and variations of a single attack.(More)
— The recent era has witnessed tremendous increase in the usage of computer network applications. Users of any type and requirement are compelled to be on a network. Today, the computer has become a network machine rather than a standalone system. This has generated challenges to the network security devices in terms of accuracy and reliability. In this(More)
Performance evaluation of Network Intrusion Detection Systems (NIDS) has been carried out to identify its limitations in high speed environment. This has been done by employing evasive and avoidance strategies simulating real-life normal and attack traffic flows on a sophisticated Test-Bench. Snort, an open source Intrusion Detection System, has been(More)
The virtualization concept was developed a few decades back to facilitate the sharing of expensive and robust main-frame hardware among different applications. In the current scenario, virtualization has gone through a conceptual transformation from cost effectiveness to resource sharing. The research community has found virtualization to be reliable,(More)
Network Intrusion Detection Systems (NIDS) have gained substantial importance in today's network security infrastructure. The performance of these devices in modern day traffic conditions is however found limited. It has been observed that the systems could hardly stand effective for the bandwidth of few hundred mega bits per second. Packet drop has been(More)
— Alerts correlation techniques have been widely used to provide intelligent and stateful detection methodologies. This is to understand attack steps and predict the expected sequence of events. However, most of the proposed systems are based on rule –based mechanisms which are tedious and error prone. Other methods are based on statistical modeling; these(More)
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