DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS

May 2023
Vol-9, Issue-3
Paper ID: 20373
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Cybersecurity
Keywords
Black lists NIDS HIDS malicious vulnerabilities SVM’s ANN’s trails
Abstract
An intrusion detection system (IDS) is a type of security technology that tracks hostile or unauthorized activity on computer networks and systems. An IDS's main objective is to spot potential security gaps, record information about them, and notify security administrators so they may take the necessary action. There are two main types of IDS: network based IDS (NIDS) and host-based IDS (HIDS). While HIDS keeps an eye on each individual host system for odd activity, NIDS watches network traffic for suspicious behavior and spots potential dangers. IDS can be further categorized as signature based or anomaly based, depending on the detection technique used. Anomaly-based IDS employ statistical analysis to find changes from expected network behavior, while signature-based IDS compare known harmful activity patterns with observed network traffic. The employment of IDS, which is frequently used in conjunction with other security measures like firewalls and antivirus software, is essential for defending computer networks from different kinds of cyberattacks. Malt Rail is a harmful traffic detection system that makes use of static-trails generated from various antivirus reports and user-defined custom lists, as well as publicly available (black)lists containing malicious and/or generally suspicious trails. A trail can be anything from a domain name (for example, zvpprsensinaix.com for Banjari malware), URL (for example, hXXp://109.162.38.120/harsh02.exe for known malicious executable), IP address (e.g 185.130.5.231 for known attacker) Additionally, it makes use of (optional) sophisticated heuristic methods that can aid in the discovery of new risks (like malware).

Author Information

# Name Institute / Affiliation
1 N Vishal Krishna Bhat Dayananda Sagar Academy of Technology & Management
2 Lekhan HY Dayananda Sagar Academy of Technology & Management
3 N Pravalika Dayananda Sagar Academy of Technology & Management
4 Rakshitha M Dayananda Sagar Academy of Technology & Management
5 Rama Abirami Dayananda Sagar Academy of Technology & Management

How to Cite

Use the following formats to cite this article in your research.

APA Style
Bhat, N Vishal Krishna, HY, Lekhan, Pravalika, N, M, Rakshitha, & Abirami, Rama (2023). DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 1851-1858.
MLA Style
Bhat, N Vishal Krishna, et al. "DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 1851-1858.
IEEE Style
N Vishal Krishna Bhat, Lekhan HY, N Pravalika, Rakshitha M, and Rama Abirami, "DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 1851-1858, 2023.
Vancouver Style
Bhat N Vishal Krishna, HY Lekhan, Pravalika N, M Rakshitha, Abirami Rama. DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):1851-1858.
Harvard Style
Bhat, N Vishal Krishna, HY, Lekhan, Pravalika, N, M, Rakshitha, & Abirami, Rama (2023) 'DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 1851-1858.
Chicago Style
Bhat, N Vishal Krishna, et al. "DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1851-1858.
Turabian Style
Bhat, N Vishal Krishna, et al. "DETECT AND MITIGATE INTRUSION DURING CYBER ATTACKS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1851-1858.

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