scholarly journals LAN Traffic Capture Applications Using the Libtins Library

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3084
Author(s):  
Adrian-Tiberiu Costin ◽  
Daniel Zinca ◽  
Virgil Dobrota

Capturing traffic and processing its contents is a valuable skill that when put in the right hands makes diagnosing and troubleshooting network issues an approachable task. Apart from aiding in fixing common problems, packet capture can also be used for any application that requires getting a deeper understanding of how things work under the hood. Many tools have been developed in order to allow the user to study the flow of data inside of a network. This paper focuses on documenting the process of creating such tools and showcasing their use in different contexts. This is achieved by leveraging the power of the C++ programming language and of the libtins library in order to create custom extensible sniffing tools, which are then used in VoIP (Voice over IP) and IDS (Intrusion Detection System) applications.

2018 ◽  
Vol 7 (4.19) ◽  
pp. 1011
Author(s):  
Mr. Prakash N Kalavadekar ◽  
Dr. Shirish S. Sane

Conventional methods of intrusion prevention like firewalls, cryptography techniques or access management schemes, have not provided complete protection to computer systems and networks from refined malwares and attacks. Intrusion Detection Systems (IDS) are giving the right solution to the current issues and became an important part of any security management system to detect these threats and will not generate widespread harm. The basic goal of IDS is to detect attacks and their nature that may harm the computer system. Several different approaches for intrusion detection have been reported in the literature. The signature based concept using genetic algorithm as features selection and, J48 as classifier to detect attack is proposed in this paper. The system was evaluated on KDD Cup 99, NSL-KDD and Kyoto 2006+ datasets. 


2013 ◽  
Vol 760-762 ◽  
pp. 617-622
Author(s):  
Shi Lin Fang ◽  
Yue Bin Wang ◽  
Quan Feng Yan ◽  
Yi Li ◽  
Wen Bin Li

In order to solve the security issue about network intrusion in IPv6 system, two modes of intrusion detection system based on IPv6 protocol analysis have been developed and designed. Based on these two modes, packet capture module, protocol analysis module, command parsing module and out-put processing module have been designed. The accuracy and efficiency of intrusion detection system based on IPv6 protocol analysis have been verified through the test focused on the key modules.


Internet of Things (IoT) is an emerging technology that makes network of physical objects which can identify, communicate and share information through Internet. The edge of IoT network are mostly simple sensors. The success of the IoT application depends on the quality of sensor data at the right time, this leads to the requirement of IoT devices be long term, self-sustaining and have the ability to harvest their required energy from deployed environment. Such devices incur additional security challenges because of prolonged life time and change in the life cycle of devices. A novel intrusion detection system is designed for energy harvesting 6LoWPAN based IoT network considering the energy scavenging characteristics of devices in addition to conventional IoT. The simulation results confirm that the proposed intrusion detection system is efficient and accurate in detecting the attacks.


2014 ◽  
Vol 670-671 ◽  
pp. 1507-1510
Author(s):  
Ling Lin Li ◽  
Jin Peng Tang

In order to intrusion detection system functional analysis easily and adapted to changing requirement, object oriented modeling technology is applied in Packet Capture System. The system architecture is proposed first, functional analysis is given for it s components. Static model and dynamic model are separately founded by united modeling language. An analysis of the advantages of the system is placed in the end.


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