Network Scanning, Intrusion Detection, and Intrusion Prevention Tools

2016 ◽  
pp. 441-457
Author(s):  
Charles Edge ◽  
Daniel O’Donnell
Keyword(s):  
Intrusion Detection ◽  
Intrusion Prevention ◽  
Network Scanning

Network Scanning, Intrusion Detection, and Intrusion Prevention Tools

2010 ◽  
pp. 485-504 ◽  
Author(s):  
Charles Edge ◽  
William Barker ◽  
Beau Hunter ◽  
Gene Sullivan
Keyword(s):  
Intrusion Detection ◽  
Intrusion Prevention ◽  
Network Scanning

Intrusion Prevention System Inspired Immune Systems

2016 ◽  
Vol 2 (1) ◽  
pp. 168 ◽  
Author(s):  
Yousef Farhaoui
Keyword(s):  
Immune System ◽  
Intrusion Detection ◽  
Computer Security ◽  
Information Technologies ◽  
Safety Level ◽  
Correct Operation ◽  
Intrusion Prevention ◽  
Immune Systems ◽  
Natural Function ◽  
Intrusion Prevention System

<p>In view of new communication and information technologies that appeared with the emergence of networks and Internet, the computer security became a major challenge, and works in this research axis are increasingly numerous. Various tools and mechanisms are developed in order to guarantee a safety level up to the requirements of modern life. Among them, intrusion detection and prevention systems (IDPS) intended to locate activities or abnormal behaviors suspect to be detrimental to the correct operation of the system. The purpose of this work is the design and the realization of an IDPS inspired from natural immune systems. The study of biological systems to get inspired from them for the resolution of computer science problems is an axis of the artificial intelligence field which gave rise to robust and effective methods by their natural function, the immune systems aroused the interest of researchers in the intrusion detection field, taking into account the similarities of NIS (Natural Immune System) and IDPS objectives. Within the framework of this work, we conceived an IDPS inspired from natural immune system and implemented by using a directed approach. A platform was developed and tests were carried out in order to assess our system performances.</p>

Research on the Model of Database Intrusion Protection System Based on E-Commerce Platform

2013 ◽  
Vol 336-338 ◽  
pp. 2559-2562 ◽  
Author(s):  
Hui Ling Guo
Keyword(s):  
Intrusion Detection ◽  
Layered Intrusion ◽  
Passive Protection ◽  
Intrusion Prevention ◽  
Semantic Level ◽  
Detection Model ◽  
Attack Model ◽  
Prevention Model ◽  
Level Information ◽  
Intrusion Prevention System

Based on attack model of database,a model of database intrusion prevention system is proposed in electronic commerce platform. The model is divided into session level intrusion detection model, schema level intrusion detection model and semantic level intrusion detection model according to the abstraction level of test information. It extends the COAST firewall model with intrusion detection, and a layered intrusion prevention model which detect intrusion behavior according to session level, schema level and semantic level information of transactions. Thereby, it updates database security from passive protection to proactive protection.

scholarly journals ROP Defense Using Trie Graph for System Security

2021 ◽  
Vol 13 (6) ◽  
pp. 1-12
Author(s):  
Alex Yao Chu Zhu ◽  
Wei Qi Yan ◽  
Roopak Sinha
Keyword(s):  
Intrusion Detection ◽  
System Security ◽  
Intrusion Detection Systems ◽  
Short Sequence ◽  
Intrusion Prevention ◽  
Detection Systems ◽  
Satisfactory Performance ◽  
Target Program ◽  
Low Costs ◽  
Turing Complete

Most Intrusion Detection Systems (IDS) / Intrusion Prevention Systems (IPS) cannot defend the attacks from a Return Oriented Program (ROP) which applies code reusing and exploiting techniques without the need for code injection. Malicious attackers chain a short sequence as a gadget and execute this gadget as an arbitrary (Turing-complete) behavior in the target program. Lots of ROP defense tools have been developed with satisfactory performance and low costs overhead, but malicious attackers can evade ROP tools. Therefore, it needs security researchers to continually improve existing ROP defense tools, because the defense ability of target devices, such as smartphones is weak, and such devices are being increasingly targeted.  Our contribution in this paper is to propose an ROP defense method that has provided a better performance of defense against ROP attacks than existing ROP defense tools.

Performance Analysis of Mail Clients on Low Cost Computer With ELGamal and RSA Using SNORT

2018 ◽  
pp. 332-353
Author(s):  
Sreerama Murthy Kattamuri ◽  
Vijayalakshmi Kakulapati ◽  
Pallam Setty S.
Keyword(s):  
Intrusion Detection ◽  
Low Power ◽  
Intrusion Detection System ◽  
Detection System ◽  
Low Cost ◽  
Raspberry Pi ◽  
Ip Address ◽  
Intrusion Prevention ◽  
Plain Text ◽  
Intrusion Prevention System

An intrusion detection system (IDS) focuses on determining malicious tasks by verifying network traffic and informing the network administrator for restricting the user or source or source IP address from accessing the network. SNORT is an open source intrusion detection system (IDS) and SNORT also acts as an intrusion prevention system (IPS) for monitoring and prevention of security attacks on networks. The authors applied encryption for text files by using cryptographic algorithms like Elgamal and RSA. This chapter tested the performance of mail clients in low cost, low power computer Raspberry Pi, and verified that SNORT is efficient for both algorithms. Within low cost, low power computer, they observed that as the size of the file increases, the run time is constant for compressed data; whereas in plain text, it changed significantly.

An Introductory Study on Business Intelligence Security

2007 ◽  
pp. 204-217
Author(s):  
Chan Gaik Yee ◽  
G. S. V. Radha Krishna Rao
Keyword(s):  
Intrusion Detection ◽  
Web Service ◽  
Business Intelligence ◽  
Security Threats ◽  
Knowledge Capital ◽  
Intrusion Prevention

Firstly, the fact that business intelligence (BI) applications are growing in importance, and secondly, the growing and more sophisticated attacks launched by hackers, the concern of how to protect the knowledge capital or databases that come along with BI or in another words, BI security, has thus arisen. In this chapter, the BI environment with its security features is explored, followed by a discussion on intrusion detection (ID) and intrusion prevention (IP) techniques. It is understood through a Web-service case study that it is feasible to have ID and IP as countermeasures to the security threats; thus further enhancing the security of the BI environment or architecture.

scholarly journals Effect of Mutation and Crossover Probabilities on Genetic Algorithm and Signature Based Intrusion Detection System

2018 ◽  
Vol 7 (4.19) ◽  
pp. 1011
Author(s):  
Mr. Prakash N Kalavadekar ◽  
Dr. Shirish S. Sane
Keyword(s):  
Genetic Algorithm ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Features Selection ◽  
Access Management ◽  
Intrusion Prevention ◽  
Detection Systems ◽  
Management Schemes ◽  
The Right

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. 

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