PPT-Network Analysis and Intrusion Detection with Snort

Snort Freeware Designed as a network sniffer Useful for traffic analysis Useful for intrusion detection Snort Snort is a good sniffer Snort uses a detection engine based on rules Packets that do not match any rule are discarded. Intruders. Classes (from [ANDE80]:. two most publicized threats to security are malware and intruders. generally referred to as a . hacker. or . cracker. Examples of Intrusion. remote root compromise. Paper by: T. Bowen. Presented by: Tiyseer Al Homaiyd. 1. Introduction: . Intrusions: show observable events that deviate from the . norm.. Survivable system usually focus on detecting intrusions rather than preventing or containing damage. . Reuven, Dan A. .. Wei. , Li. Patel, Rinku H. .. Background. Definition of Intrusion Detection. A device dedicated to monitoring network and system resources of a company for signs of malicious activity or unauthorized access. MIS.5213.011 . ALTER. 0A234. Lecture . 4. Overview. What. ’. s snort?. Snort architecture. Snort components. Detection engine and rules in snort. Possible research works in snort.. What’s snort?. &. Intrusion . Detection Systems. 1. Intruders. Three classes of intruders:. Examples of Intrusion. Performing a remote root compromise of an e-mail server. Defacing a Web server. Guessing and cracking passwords. /dr. x. Logistics. Programming homework: extra 4 days. Midterm date: Wednesday, March 1. Duration: 60 mins. Presentations: next . Rich Nelson. Reports: can you see my comments, feedback on Oaks?. L1: many reports did not even have a sentence with intro/conclusions. Overview. What. ’. s snort?. Snort architecture. Snort components. Detection engine and rules in snort. Possible research works in snort.. What’s snort?. NIDS: . A network intrusion detection system (NIDS) is an intrusion detection system that tries to detect malicious activity such as denial of service attacks, port scans or even attempts to crack into computers by monitoring network traffic.. /dr. x. Logistics. Command Line Lab on Thursday: please bring your laptops. Keep up with the reading . – Midterm on March 2. nd. . . Computer Networks Basics: OSI stack, subnets, Basic protocols: ARP, ICMP, NAT, DHCP, DNS, TCP/IP. Asher Gruber | January 2017. This work was carried out under the supervision of. Prof. . Anat. . Bremler. -Bar. and. Mr. . Yotam. . Harhol. Agenda. Introduction. DPI . as a . Service paper. Project Goals. modified from slides of . Lawrie. Brown. Classes of Intruders – Cyber Criminals. Individuals or members of an organized crime group with a goal of financial reward. Their activities may include: . Fourth Edition. By: William Stallings and Lawrie Brown. Chapter . 8. Intrusion Detection. Classes of Intruders –. Cyber Criminals. Individuals or members of an organized crime group with a goal of financial reward. Snort. Dan Fleck, PhD. dfleck@gmu.edu. Intrusion . Detection. An . intrusion detection system . (IDS) . analyzes . traffic patterns and . reacts . to anomalous . patterns. . by sending out alerts.. Note that an IDS is inherently reactive; the attack . What is an IDS?. An . I. ntrusion . D. etection System is a wall of defense to confront the attacks of computer systems on the internet. . The main assumption of the IDS is that the behavior of intruders is different from legal users.. CS 469: Security Engineering. These slides are modified with permission from Bill Young (. Univ. of Texas). Coming up: Intrusion Detection. 1. Intrusion . Detection. An . intrusion detection system .