NDLI: Security Enhancement in Distributed Networks Using Link-Based Mapping Scheme for Network Intrusion Detection with Enhanced Bloom Filter

Content Provider	Springer Nature Link
Author	Saravanan, K. Senthilkumar, A.
Copyright Year	2015
Abstract	To prevent and monitor the unauthorized usage of data access, security on the network is implemented by authenticating the data. Network intrusion detection system monitors the network traffic and measures the information to identify the suspicious activities. In distributed networks, the network administrator has to authorize the user data access. When large data set is concerned in network applications the two complex issues to be solved are the organization of information and decision making. To address these issues, a space efficient data structure, called the bloom filter is used which effectively organizes and decides the presence of reliability. However, using advanced filtering techniques, the intruders easily hack the authorized data for unauthorized operations. At the same time, when processing the information, it is difficult to access the data in a secured manner using the standard bloom filters. To enhance the security over the user data access from the intruders, an enhanced bloom filter technique is presented to represent the large set of data in secure manner applied in distributed applications like web caching, peer networks etc. Additionally, to restrict the unauthorized access over the dataset from malicious activities by intruders, the enhanced bloom filter is applied with an upper bound on the false-positive probability by increasing its capacity as the packet data size increases. The occurrence of network data traffic is cleared by mapping the set of data elements to the appropriate setting in the database using hash functions, minimizing the number of resets created and at the same time improving the mean hit ratio. An experimental evaluation is done with the KDD cup 1999 dataset extracted from UCI repository to estimate the performance of the proposed link-based mapping for network intrusion detection system with enhanced bloom filters. Performance evaluation is measured in terms of false positive probability, false negative probability, mean hit ratio, scalability, number of resets created and security. The experimental results reveals that security over the packet data achieves 42.5 % higher against existing dynamic bloom filter approach.
Starting Page	821
Ending Page	839
Page Count	19
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	84
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2015-05-13
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bloom filters Enhanced bloom filters Information representation Web log data Security Authorization Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Partially Distributed Intrusion Detection System for Wireless Sensor Networks

High Speed and Low Power Architecture for Network Intrusion Detection System

eBF: an enhanced Bloom Filter for intrusion detection in IoT

A scalable interest-oriented peer-to-peer pub/sub network

Memory Efficient Routing Using Bloom Filters in Large Scale Sensor Networks

Location-Aware Mobile Intrusion Detection with Enhanced Privacy in a 5G Context

An Enhanced Hierarchical Key Management Scheme for MANETs

Bloom Filters Optimized Wu-Manber for Intrusion Detection

Idempotent distributed counters using a forgetful bloom filter

Security Enhancement in Distributed Networks Using Link-Based Mapping Scheme for Network Intrusion Detection with Enhanced Bloom Filter

Similar Documents

A Partially Distributed Intrusion Detection System for Wireless Sensor Networks

High Speed and Low Power Architecture for Network Intrusion Detection System

eBF: an enhanced Bloom Filter for intrusion detection in IoT

A scalable interest-oriented peer-to-peer pub/sub network

Memory Efficient Routing Using Bloom Filters in Large Scale Sensor Networks

Location-Aware Mobile Intrusion Detection with Enhanced Privacy in a 5G Context

An Enhanced Hierarchical Key Management Scheme for MANETs

Bloom Filters Optimized Wu-Manber for Intrusion Detection

Idempotent distributed counters using a forgetful bloom filter

Security Enhancement in Distributed Networks Using Link-Based Mapping Scheme for Network Intrusion Detection with Enhanced Bloom Filter