Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 10 Issue 1
Data Mining Approach for Cyber Security
Varsha P.Desai, Dr.K.S.Oza, Dr.P.G.Naik
10.7753/IJCATR1001.1007
keywords : Malware, Data Mining, Cyber-attack, Cyber Threat, Ransomware.
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.
@artical{v1012021ijcatr10011007,
Title = "Data Mining Approach for Cyber Security",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "10",
Issue ="1",
Pages ="35 - 41",
Year = "2021",
Authors ="Varsha P.Desai, Dr.K.S.Oza, Dr.P.G.Naik"}
The paper focus on major reasons of cybercrime and types of cyber-attacks
Proposed stepwise data mining approach for malware detection
Selection of data analysis method as per type of malware
Elaborate signature and behavior based malware detection techniques using data mining.