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Executive Summary
Over
the last decade, system security threats have evolved from human
intruders to sophisticated malware. With the evolution of these
attack methodologies, the field of intrusion detection has
inevitably evolved with detection of malicious network attacks
becoming its main focus. This research project includes indigenous
design and development of a state-of-the- art enterprise network
security solution in Pakistan. This security solution will detect
zero-day (previously unknown) attacks in real-time. The solution
consists of two main modules: i) An active anomaly detector that
will be deployed at the network perimeter; ii) A passive network
monitor that can detect Internet-scale as well as targeted threats
and will also facilitate attack forensics. The proposed network
security software will be tested on academic and industrial
networks in Pakistan. After its development and testing in the
end-user environment, this software solution will be made publicly
available under an open-source license. Due to its cutting-edge
nature, this software solution has the potential of establishing
an international repute for Pakistan in the highly profitable and
potent network security market. The key benefits of this project
are:
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Network security has become a fundamental concern for
uninterrupted operation of any large-scale enterprise.
Therefore, the purposed network security solution will benefit
many different industries. However some direct beneficiaries
are: 1) Core Network Service Providers like PTCL who bear the
burnt of congestion and excessive traffic created by malware
propagation and DDoS attacks. The provision of clean bandwidth
to the customers will be a very attractive offering by these
Network Service Providers. 2) Enterprises that solicit and
conduct international projects (e.g., software development
companies, transcription companies, call centers, etc.). Network
unavailability during attacks can result in severe credibility
issues and financial losses for these companies. 3) Computers in
academic institutions are generally infested with malware
because the students are unaware of the security implications of
the software that they download from the Internet. Therefore,
academic institutions will also be direct beneficiaries of this
product.
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This
product will make the data traffic very safe on both the
inter-enterprise and intra-enterprise fronts, providing the
complete security against zero-day attacks across the
enterprise.
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The
software will be used to analyze and categorize the active
attacks on the core and access networks in real-time.
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During the software development and design stage, a detailed
efficiency analysis of existing volumetric and feature-based
anomaly detection techniques will be conducted.
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As
the project is open source, its outputs will be sustainable and
extendable, thereby providing a basis for future research
in the field of network security.
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