1,669 research outputs found
Centralized prevention of denial of service attacks
The world has come to depend on the Internet at an increasing rate for communication, e-commerce, and many other essential services. As such, the Internet has become an integral part of the workings of society at large. This has lead to an increased vulnerability to remotely controlled disruption of vital commercial and government operations---with obvious implications. This disruption can be caused by an attack on one or more specific networks which will deny service to legitimate users or an attack on the Internet itself by creating large amounts of spurious traffic (which will deny services to many or all networks). Individual organizations can take steps to protect themselves but this does not solve the problem of an Internet wide attack. This thesis focuses on an analysis of the different types of Denial of Service attacks and suggests an approach to prevent both categories by centralized detection and limitation of excessive packet flows
Threshold Verification Technique for Network Intrusion Detection System
Internet has played a vital role in this modern world, the possibilities and
opportunities offered are limitless. Despite all the hype, Internet services
are liable to intrusion attack that could tamper the confidentiality and
integrity of important information. An attack started with gathering the
information of the attack target, this gathering of information activity can be
done as either fast or slow attack. The defensive measure network administrator
can take to overcome this liability is by introducing Intrusion Detection
Systems (IDSs) in their network. IDS have the capabilities to analyze the
network traffic and recognize incoming and on-going intrusion. Unfortunately
the combination of both modules in real time network traffic slowed down the
detection process. In real time network, early detection of fast attack can
prevent any further attack and reduce the unauthorized access on the targeted
machine. The suitable set of feature selection and the correct threshold value,
add an extra advantage for IDS to detect anomalies in the network. Therefore
this paper discusses a new technique for selecting static threshold value from
a minimum standard features in detecting fast attack from the victim
perspective. In order to increase the confidence of the threshold value the
result is verified using Statistical Process Control (SPC). The implementation
of this approach shows that the threshold selected is suitable for identifying
the fast attack in real time.Comment: 8 Pages, International Journal of Computer Science and Information
Securit
Intrusion Detection Systems for Community Wireless Mesh Networks
Wireless mesh networks are being increasingly used to provide affordable network connectivity to communities where wired deployment strategies are either not possible or are prohibitively expensive. Unfortunately, computer networks (including mesh networks) are frequently being exploited by increasingly profit-driven and insidious attackers, which can affect their utility for legitimate use. In response to this, a number of countermeasures have been developed, including intrusion detection systems that aim to detect anomalous behaviour caused by attacks. We present a set of socio-technical challenges associated with developing an intrusion detection system for a community wireless mesh network. The attack space on a mesh network is particularly large; we motivate the need for and describe the challenges of adopting an asset-driven approach to managing this space. Finally, we present an initial design of a modular architecture for intrusion detection, highlighting how it addresses the identified challenges
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