Low-power bloom filter architecture for deep packet inspection

Bloom filters are frequently used to identify malicious content like viruses in high speed networks. However, architectures proposed to implement Bloom filters are not power efficient. In this letter, we propose a new Bloom filter architecture that exploits the well-known pipelining technique. Through power analysis we show that pipelining can reduce the power consumption of Bloom filters up to 90%, which leads to the energy-efficient implementation of intrusion detection systems. © 2006 IEEE

A FRAMEWORK TO DETECT AND CORRECT ERRORS IN CIRCUITS

The fundamental structure of BFs has additionally been extended through the years. For instance, counting BFs (CBFs) were brought to allow elimination of components from the BF. They are utilized in lots of networking programs too in computer architectures. Reliability has become challenging for advanced electronic circuits as the amount of errors because of manufacturing versions, radiation, and reduced noise margins increase as technology scales. There's also ongoing research to increase and enhance BFs and for their services in new situations. Blossom filters (BFs) give a fast and efficient method to check whether confirmed element goes to some set. The BFs are utilized in several programs, for instance, in communications as well as networking. Within this brief, it's proven that BFs may be used to identify and proper errors within their connected data set. This enables a synergetic reuse of existing BFs also to identify and proper errors. This really is highlighted through one particular counting BF employed for IP traffic classification. The outcomes reveal that the suggested plan can effectively correct single errors within the connected set. The suggested plan could be of great interest in practical designs to effectively mitigate errors having a reduced overhead when it comes to circuit area and power

AN EFFICIENT LOW-POWER CONTENT- ADDRESSABLE MEMORY USING COMPRESSOR MEMORY BLOCK

In this paper, we proposed a low-power content-addressable memory (CAM) employing a new algorithm for associativity between the input tag and the corresponding address of the output data. The proposed architecture is based on memory block. Given an input data the proposed architecture compares the stored data with input data and send the single matched data address as the output. Therefore, the dynamic energy consumption of the proposed design is significantly lower compared with that of a sparse Clustered network based CAM design. In this project we have shown as the effective error detection and correction in the data set. For detecting and correcting the data this project allows synergetic reuse COMPRESSOR MEMORY BLOCK.   For very high speed searching applications, Bloom filters has been proposed. Associative memory, associative storage and associative array are the synonyms of CAM. For programming in data structures the name associative array is used most. XILINX ISE was used for the simulation process. The search delay of the proposed design is less. So the speed is more as compared to that of SCN CAM design

EFFECT OF HASH FUNCTION ON PERFORMANCE OF LOW POWER WAKE UP RECEIVER FOR WIRELESS SENSOR NETWORK

ABSTRACT Next generation network will consist of different types of wireless networks like WSN, Wi-Fi, WiMAX, UMTS, LTE and etc. Wireless Sensor Network (WSN

Implementation Of “Bloom Filter” Using Cam Based Structure

content addressable memory (CAM) employing a new algorithm for associativity between the input tag and the corresponding address of the output data. The proposed architecture is based on a recently developed sparse clustered network using binary connections that on-average eliminates most of the parallel comparisons per- formed during a search. Therefore, the dynamic energy consumption of the proposed design is significantly lower compared with that of a conventional low-power CAM design. Given an input tag, the proposed architecture computes a few possibilities for the location of the matched tag and performs the comparisons on them to locate a single valid match. Bloom filters (BFs) provide a fast and efficient way to check whether a given element belongs to a set. The BFs are used in numerous applications, for example, in communications and networking. There is also ongoing research to extend and enhance BFs and to use them in new scenarios. Reliability is becoming a challenge for advanced electronic circuits as the number of errors due to manufacturing variations, radiation, and reduced noise margins increase as technology scales. In brief, it is shown that BFs can be used to detect and correct errors in their associated data set. This allows a synergetic reuse of existing BFs to also detect and correct errors. The proposed scheme Content-addressable memory (CAM) is a special type of computer memory used in certain very-high-speed searching applications. It is also known as associative memory, associative storage, or associative array, although the last term is more often used for a programming data structure. It compares input search data (tag) against a table of stored data, and returns the address of matching data (or in the case of associative memory, the matching data). Several custom computers, like the Goodyear STARAN, were built to implement CAM, and were designated associative computers

Design And Implementation Of A Hardware Level Content Networking Front End Device

The bandwidth and speed of network connections are continually increasing. The speed increase in network technology is set to soon outpace the speed increase in CMOS technology. This asymmetrical growth is beginning to causing software applications that once worked with then current levels of network traffic to flounder under the new high data rates. Processes that were once executed in software now have to be executed, partially if not wholly in hardware. One such application that could benefit from hardware implementation is high layer routing. By allowing a network device to peer into higher layers of the OSI model, the device can scan for viruses, provide higher quality-of-service (QoS), and efficiently route packets. This thesis proposes an architecture for a device that will utilize hardware-level string matching to distribute incoming requests for a server farm. The proposed architecture is implemented in VHDL, synthesized, and laid out on an Altera FPGA

Low-power bloom filter architecture for deep packet inspection

Bloom filters are frequently used to identify malicious content like viruses in high speed networks. However, architectures proposed to implement Bloom filters are not power efficient. In this letter, we propose a new Bloom filter architecture that exploits the well-known pipelining technique. Through power analysis we show that pipelining can reduce the power consumption of Bloom filters up to 90%, which leads to the energy-efficient implementation of intrusion detection systems

Low-Power Bloom Filter Architecture For Deep Packet Inspection

Bloom filters are frequently used to identify malicious content like viruses in high speed networks. However, architectures proposed to implement Bloom filters are not power efficient. In this letter, we propose a new Bloom filter architecture that exploits the well-known pipelining technique. Through power analysis we show that pipelining can reduce the power consumption of Bloom filters up to 90%, which leads to the energy-efficient implementation of intrusion detection systems. © 2006 IEEE