HONEYDOS: a hybrid approach using data mining and honeypot to counter denial of service attack and malicious packets

2018 ◽  
Author(s):  
Pratima Sharma ◽  
Bharti Nagpal
Keyword(s):  
Data Mining ◽  
Denial Of Service ◽  
Hybrid Approach ◽  
Denial Of Service Attack ◽  
Service Attack ◽  
Using Data

scholarly journals Data Mining Approach for Cyber Security

2021 ◽  
Vol 10 (01) ◽  
pp. 035-041
Author(s):  
Varsha P. Desai ◽  
Dr.K.S. Oza ◽  
Dr.P.G. Naik
Keyword(s):  
Data Mining ◽  
Cyber Security ◽  
Denial Of Service ◽  
Attack Detection ◽  
Cyber Attacks ◽  
Denial Of Service Attack ◽  
Internet Users ◽  
Service Attack ◽  
Special Approach ◽  
Intelligent Approach

Use of internet and communication technologies plays significant role in our day to day life. Data mining capability is leveraged by cybercriminals as well as security experts. Data mining applications can be used to detect future cyber-attacks by analysis, program behavior, browsing habits and so on. Number of internet users are gradually increasing so there is huge challenges of security while working in the cyber world. Malware, Denial of Service, Sniffing, Spoofing, cyber stalking these are the major cyber threats. Data mining techniques are provides intelligent approach for threat detections by monitoring abnormal system activities, behavioral and signatures patterns. This paper highlights data mining applications for threat analysis and detection with special approach for malware and denial of service attack detection with high precision and less time.

Low rate TCP denial-of-service attack detection at edge routers

2005 ◽  
Vol 9 (4) ◽  
pp. 363-365 ◽  
Author(s):  
A. Shevtekar ◽  
K. Anantharam ◽  
N. Ansari
Keyword(s):  
Denial Of Service ◽  
Attack Detection ◽  
Denial Of Service Attack ◽  
Service Attack ◽  
Low Rate
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