scholarly journals Data Mining Techniques for Network Intrusion Detection and Prevention Systems

2016 ◽  
pp. 175-180
Author(s):  
Nareshkumar D. Harale ◽  
Dr.B.B. Meshram
Keyword(s):  
Data Mining ◽  
Intrusion Detection ◽  
Network Intrusion Detection ◽  
Data Mining Techniques ◽  
Network Intrusion ◽  
Intrusion Detection And Prevention

scholarly journals Logical Circuits for Extended Content Matching in Hardware Based NIDPS

2013 ◽  
Vol 7 (3) ◽  
pp. 664-669
Author(s):  
Dejan Georgiev ◽  
Aristotel Tentov
Keyword(s):  
Intrusion Detection ◽  
The Other ◽  
Network Intrusion Detection ◽  
Network Intrusion ◽  
Other Hand ◽  
Efficient Detection ◽  
Network Speed ◽  
Intrusion Detection And Prevention

In this paper we present logical circuits for efficient detection of rolled out contents. As network speed increases and security matters  there is a demand for implementation of hardware based Network Intrusion Detection and Prevention Systems (NIDPS). On the other hand hardware based NIDPS are lacking the flexibility of detection of so named "evasion" techniques. Here we present simple but efficient enhancement to content matching in hardware with minimal basic memory elements (flip-flops) used.

Network Intrusion Detection and Prevention Systems on Flooding and Worm Attacks

2016 ◽  
pp. 183-207
Author(s):  
P. Vetrivelan ◽  
M. Jagannath ◽  
T. S. Pradeep Kumar
Keyword(s):  
Intrusion Detection ◽  
Denial Of Service ◽  
Packet Transmission ◽  
Network Intrusion Detection ◽  
The Internet ◽  
Network Intrusion ◽  
Worm Attacks ◽  
Packet Marking ◽  
Vast Network ◽  
Intrusion Detection And Prevention

The Internet has transformed greatly the improved way of business, this vast network and its associated technologies have opened the doors to an increasing number of security threats which are dangerous to networks. The first part of this chapter presents a new dimension of denial of service attacks called TCP SYN Flood attack has been witnessed for severity of damage and second part on worms which is the major threat to the internet. The TCP SYN Flood attack by means of anomaly detection and traces back the real source of the attack using Modified Efficient Packet Marking algorithm (EPM). The mechanism for detecting the smart natured camouflaging worms which is sensed by means of a technique called Modified Controlled Packet Transmission (MCPT) technique. Finally the network which is affected by these types of worms are detected and recovered by means of Modified Centralized Worm Detector (MCWD) mechanism. The Network Intrusion Detection and Prevention Systems (NIDPS) on Flooding and Worm Attacks were analyzed and presented.

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