• No results found

[PDF] Top 20 FPGA Based Network Intrusion Detection System Using Counting Bloom Filter

Has 10000 "FPGA Based Network Intrusion Detection System Using Counting Bloom Filter" found on our website. Below are the top 20 most common "FPGA Based Network Intrusion Detection System Using Counting Bloom Filter".

FPGA Based Network Intrusion Detection System Using Counting Bloom Filter

FPGA Based Network Intrusion Detection System Using Counting Bloom Filter

... String-matching hardware accelerators either hardwire the patterns into logic cells on field programmable gate array (FPGA) or store them in memory. Updating the patterns in the former may take hours to regenerate ... See full document

7

MULTI LEVEL AES DESIGN SECURITY: FROM SYSTEMC TLM TO FPGA

MULTI LEVEL AES DESIGN SECURITY: FROM SYSTEMC TLM TO FPGA

... Counting Bloom Filter (CBFs) is widely employed in networking ...sequence based CBF is introduced to improve the competency of the ...simulated using Xilinx 12.1. The functional block ... See full document

9

Network intrusion detection using neural networks on FPGA SoCs

Network intrusion detection using neural networks on FPGA SoCs

... Anomaly based: Captured data is compared against a model of the expected normal behaviour of the ...Signature based IDSs are widely used in commercial sys- tems because of their accurate detection of ... See full document

8

Volume 2, Issue 8, August 2013 Page 286

Volume 2, Issue 8, August 2013 Page 286

... A Network Based IDS (NIDS) present in a computer connected to a segment of an organization’s network looking for ongoing ...security intrusion detection systems (IDS) works like a ... See full document

8

Area Efficient Counting Bloom Filter (A CBF) design for NIDS

Area Efficient Counting Bloom Filter (A CBF) design for NIDS

... A Network Intrusion Detection System (NIDS) attempts to detect malicious activities such as denial of service attack, port scans or tries to cracks into computers by monitoring network ... See full document

5

Intrusion Detection System Using a Filter Based Feature Selection Algorithm

Intrusion Detection System Using a Filter Based Feature Selection Algorithm

... strength of utilizing SVM in IDS. Mukkamala et al. examined the likelihood of amassing different learning techniques, including Artificial Neural Networks (ANN), SVMs and Multivariate Adaptive Regression Splines (MARS) ... See full document

9

Intrusion Detection Techniques and Open Source Intrusion Detection (IDS) Tools

Intrusion Detection Techniques and Open Source Intrusion Detection (IDS) Tools

... - Network based technology and Cloud Computing is becoming popular day by day as many enterprise applications and data are moving into cloud or Network based ...Internet using known ... See full document

6

Wireless Intrusion Detection Using Fpga

Wireless Intrusion Detection Using Fpga

... sensor network with a two-level structure of intrusion detection and ...performance FPGA controlling an array of cameras. The FPGA based second-level nodes can be dynamically ... See full document

5

A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm

A graphics processing unit based network intrusion detection system with bloom filter pattern matching algorithm

... Chapter 3 defines the Methodology of this project and the steps on how the proposed signature based NIDS with GPU was designed and developed. This chapter also discusses about the software and hardware ... See full document

21

Title :    AFPGA BASED INTRUSION DETECTION SYSTEM USING COUNTING BLOOM FILTERAuthor (s) : Karthick Manoj

Title : AFPGA BASED INTRUSION DETECTION SYSTEM USING COUNTING BLOOM FILTERAuthor (s) : Karthick Manoj

... effective Network Intrusion Detection (NID) before a threat affects end- user machines is critical for both financial and national ...Virus detection at the router level is rapidly gaining ... See full document

5

Intrusion Detection System by using K Means Clustering, C 4 5, FNN, SVM Classifier

Intrusion Detection System by using K Means Clustering, C 4 5, FNN, SVM Classifier

... Nowadays network is very important for the communication. We can do lots of things on the internet like searching, images, videos, etc. this is main advantages of the internet .we are using the internet ... See full document

5

Graphics processing unit based parallel copy move image forgery detection scheme

Graphics processing unit based parallel copy move image forgery detection scheme

... forgery detection is needed to prevent alteration of images and restore some trust in digital images (Farid, ...forgery detection techniques: active and ...intrusive, detection techniques require a ... See full document

26

An Anomaly based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities

An Anomaly based Intrusion Detection System in Presence of Benign Outliers with Visualization Capabilities

... Abnormal network traffic analysis through Intrusion Detection Systems (IDSs) and visualization techniques has considerably become an important research topic to protect computer networks from ... See full document

42

Intrusion Detection and Prevention System using ACL

Intrusion Detection and Prevention System using ACL

... It is widely recognized that the threat to enterprises from insider activities is increasing and that significant costs are being incurred. The multi-faceted dimensions of insider threat and compromising actions have ... See full document

8

Intrusion detection system for automotive Controller Area Network (CAN) bus system: a review

Intrusion detection system for automotive Controller Area Network (CAN) bus system: a review

... the network or directly on the host, detects, and raises the alarm if there are any unex- pected events occurred in the system ...the system so that unauthorized access can be ob- ...targeted ... See full document

17

IPV6 NETWORK SECURITY USING SNORT

IPV6 NETWORK SECURITY USING SNORT

... of network-based intrusion detection system that support IPv6 ...protocol. Intrusion detection system architecture should focus on performance, simplicity, and ... See full document

11

IMPROVED CLOUD SECURITY MECHANISM WITH A SELF-MONITORED INTRUSION PREVENTION SYSTEM

IMPROVED CLOUD SECURITY MECHANISM WITH A SELF-MONITORED INTRUSION PREVENTION SYSTEM

... of system call from hypervisor to the host operating system ...with Network Interface Controller (NIC), and also with operating systems, also with the end user ... See full document

13

Implementation of Fast Counting L2 Cache Architecture Using Bloom Filter

Implementation of Fast Counting L2 Cache Architecture Using Bloom Filter

... enhanced bloom filter to reduce the tag comparisons of the cache hit prediction ...CBFs(counting bloom filters)to improve upon the energy, delay, and complexity of various processor structure ... See full document

7

A new intrusion detection and alarm correlation technology based on neural network

A new intrusion detection and alarm correlation technology based on neural network

... BP network, and the full name of BP net- work is Back Propagation Network, BP network training algorithm originally developed by Werbos, which is an it- erative gradient algorithm for solving the ... See full document

10

Entropy clustering based granular classifiers for network intrusion detection

Entropy clustering based granular classifiers for network intrusion detection

... In this study, we propose a rule-based granular classi- fier by means of entropy clustering method and support vector machine for network intrusion detection. The overall granular classifier ... See full document

10

Show all 10000 documents...