TAILIEUCHUNG - Fuzzy clustering as an intrusion detection technique

The main aim of this paper is to use Fuzzy cmedoids algorithm to intrusion detection. The beginning section of the paper deals with introduction to clustering in the field of intrusion detection while the later section defines how fuzzy k-medoids algorithm performs better than fuzzy c-means algorithm. | Disha Sharma et al, International Journal of Computer Science & Communication Networks,Vol 1(1),September-October 2011 Fuzzy Clustering as an Intrusion Detection Technique Disha Sharma Research Scholar dishasharma210@ Abstract Intrusion detection and clustering have always been hot topics in the field of machine learning. Clustering as an intrusion detection technique has long before proved to be beneficial. But as the methods and types of attacks are changing, there is an ongoing need to develop more and more better techniques that can fight back. The main aim of this paper is to use Fuzzy cmedoids algorithm to intrusion detection. The beginning section of the paper deals with introduction to clustering in the field of intrusion detection while the later section defines how fuzzy k-medoids algorithm performs better than fuzzy c-means algorithm. 1. Intrusion Detection All Any attempt to compromise the integrity, confidentiality or availability of a resource is called an intrusion. A wide range of activities fall under this definition. Added security measure can stop all such attacks. The goal of intrusion detection is to build a system which would automatically scan network activity and detect such attacks. Once an attack is detected, the system administrator could be informed and thus take corrective action. Generally, there are four categories of attacks [1]. They are: 1. DoS (Denial of Service) – trying to prevent a legitimate user from accessing the service in the target machine. 2. Probe – scanning a target machine for information about potential vulnerabilities. 3. R2L (Remote to Local) – when attacker attempts to obtain non-authorized access into a machine or network. 4. U2R (User to Root) – when target machine is already invaded, but the attacker attempts to gain access with super-user privileges. Available online @ The rapid proliferation of computer networks has changed the prospects of network security. This generated

• Điện - Điện tử
• International Journal of Computer Science and Communication Networks
• Fuzzy clustering as an intrusion detection technique
• Intrusion detection technique
• Fuzzy c means algorithm
• Fuzzy k medoids algorithm performs
• International journal of computer science & communication networks
• Distributed security system for mobile ad hoc computer networks
• Distributed security system
• Ad hoc computer networks
• The Blackhole attack
• Interactive multicast framework between wireless mesh networks and internet
• Interactive multicast framework
• Wireless mesh networks and internet
• The two networks
• Wireless mesh networks
• Regeneration of ZVS converter with resonant inductor
• ZVS converter with resonant inductor
• Linear resonant inductor
• The design of a clamping circuit
• Multilayer coding mechanisms for broadcasting over mimo networks
• Multilayer coding mechanisms
• Broadcasting over mimo networks
• MultipleInput Multiple Output
• A robusat and efficient data transmission in adhoc networks
• Efficient data transmission in adhoc networks
• Efficient data access
• Simulation results reveal
• Self directed reconfigurable ADHOC networks
• Self directed reconfigurable
• Multi hop wireless mesh networks
• Frequent link failures
• QOS aware location anonymization mechanism for wireless sensor networks
• Wireless sensor networks
• The location privacy
• Challenges and issues in wireless sensor networks
• Intelligent transportation system
• Intelligent Transportation Systems technologies
• Various energy efficeint protocols for wireless sensor networks
• Various energy efficeint protocols
• Defence state of the art evaluation occurs organisation
• Energy occupancy in wireless sensor networks
• Contemporary technology for providing energy
• Charge multiple detector nodes in wireless manner
• TDOA computation using multicarrier modulation
• Multicarrier modulation for sensor networks
• Signal to Noise
• Centralised and DeCentralised methods
• OFDM for Sensor Networks
• The dynamic buffer sizing strategies
• 802
• 11 based wireless networks
• The bandwidth delay product
• Dynamic buffer sizing algorithms
• 11 wireless networks
• Attacks in mobile adhoc networks
• Various types of attacks in MANETs
• The network performance
• Mobile Ad hoc Networks
• Communication Approach towards domain name system for improving security
• Approach towards domain name system
• Domain name system
• TCP based rather than UDP
• Developments in indoor optical fiber wireless networks
• Cost effective indoor optical wireless systems
• Future high performance
• Types of Optical Wireless links
• Performance analysis of ARQ mechanism in wimax networks
• Performance analysis of ARQ mechanism
• Metrics like throughput
• Delay and jitter
• Performance study of bandwidth request mechanisms
• IEEE 802
• 16e networks
• Quality of service
• Bandwidth request grant scheme
• Medium access control
• Energy aware routing protocol
• Delay sensitive applications
• Energy Aware DSR
• EADSR protocol out performs DSR protoco
• Adapting sip protocol to Ad hoc networks
• Virtual Network for SIP
• Illustration and evaluation of performance
• Efficient cross layer congestion control adaptive routing protocol
• Adaptive routing protocol
• Mobile ad hoc networks in constrained environment
• Dynamic packet reservation multiple access protocol
• Speech transmission wireless adhoc networks
• The PRMA protocol for digital speech transmission
• Modeling protein interaction networks
• Monotonic answer set programming
• Describe a particular case
• General LASP frame work
• Supporting efficient and dynamic multicasting
• Multiple regions in mobile ad hoc networks
• Multiple regions in mobile
• Novel Efficient Geographic Multicast Protocol
• A survey on routing protocols
• Underwater sensor networks
• Entire underwater wireless sensor network
• High bit error rates
• Limited band width
• Oil well monitoring and control
• Wireless sensor networks using atmega 2560 controller
• Atmega 2560 controller
• Manual control system