KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY SCHOOL OF GRADUATE STUDIES INFORMATION TECHNOLOGY DEPARTMENT TOPIC: INTRUSION DETECTION SYSTEMS ERIC OSEI ANNOR: PG20706824 DR. YAW MISSAH December 2014 TABLE OF CONTENTS Chapter 1 Introduction Chapter 1.0 Introduction Chapter 1.1 Project Overview Chapter 1.2 Background Information Chapter 1.3 Statement of Problem Chapter 1.4 Purpose of Study Chapter 2 Literature Review Channel 2.0 Introduction Chapter 2.1 Classes of Intruders 1.0 INTRODUCTION OF THE PROBLEM Companies all over the world have pumped monies into their businesses and are looking forward making enormous profit. There is a very big challenge that these businesses and companies face. It is even more challenging …show more content…
2.1 Classes of Intruders The 3 classes of intruders are: Masquerader Back in the days during festive seasons, people put in clothes and disguise themselves in a way that they conceal their true identity. A masquerader is anyone who gains legitimate access to a system and uses that to his or her full benefit. Most times these people are outside users and can be workers in that department and do not have authorized access to the system but someway somehow. Misfeasor Every system administrator creates users on a system and grants them user access. This spells out the length at which all users can go. A misfeasor is a user of a system who has legitimate access to a system, but abuses the privileges given to him or her. He or she snoops around sensitive and vital areas. Clandestine User Any user of a system has been given user authorization to use a system. A Clandestine user takes administrative role over a system and gains control and can hides and evades from …show more content…
The real deal here is the system that has been created in order to monitor all activities On the other hand; the honey pot is secluded from the rest of the machines and serves as decoy to these attacks and to make them think they have actually gained access into a system and monitors all activity. Honeypots can be grouped into two: production and research. These Honeypots can then be further classified into three main categories: low-interaction, high-interaction and pure honey pots (Bell, Simon
Detection phase After obtaining the parameters, HsMM could be used to check whether the given observation sequences of SNMP-MIB variables correspond to normal profile or bot profile by calculating their average log likelihoods. The forward-backward algorithm is used to calculate a sequence’s likelihood against a given model. ALL values of training sequences for the normal and botnet systems are computed. If the observation sequence’s ALL value lies in a particular confidence interval, then it will be considered as normal profile. Similarly confidence interval for botnets is identified.
Exercises #3: There are many classification methods that can be used with IDPS’s systems. The main point of this system is to detect hostile actions. The first classification is based on the place where ID systems can be placed and the second one is based on analysis of the technique used. These ID systems can be classified into three main groups starting with Host Based Intrusion Detection System (HIPS), then Network Behavior Analysis (NBA), Network Based Intrusion Detection System (NIPS), and Wireless Intrusion Prevention System (WIPS). The WIPS it analysis the traffic of wireless network, NBA examines traffic to identify threats that generate unusual traffic flow, HIPS monitor single host for suspicious activity, NIPS it analyzes the traffic of entire network.
What the honey pot does is it basically pretend and try to make it self
Since much of the security is based on the user or the group that the user is in, this free-floating ability
Gain information like knowing attributes of system, processors, no authenticates privileges. 4.4.3. Access Accusations of any system is done by the ability of knowing the attributes of system design, configuration, deployment, and know about the sending or receiving data to/from a component of any system from the attacker’s location.
Section 7 shows the limitations of the paper. At long last, Section 8 closes the paper and in addition depicting its impediments. 2. Related work Many types of survey and review researches have been done in the field of intrusion detection on the network, wireless sensor networks (WSN), cloud computing, and other areas.
Misuse detection is used to identify previously known attacks for which they require before hand knowledge of attack signature. the disadvantage of this method is that prior knowledge of the attack is required and hence new attacks cannot be identified until new attacks signature have been developed for them. In anomaly detection system monitors activity to detect any significant deviation from normal user behavior compared to known user standard behavior, this type of intrusion detection can effectively protect against both well known and new attacks since no prior knowledge about intrusion is required. One of the most significant aspects of Intrusion Detection System is the use of Artificial Intelligence techniques[39] to train the IDS about possible threats and gather information about the various traffic patterns to infer rules based on these patterns to distinguish between to differentiate between normal and intrusive
Marques Underwood INSS 391 Security and the Future With the transition of companies leaning towards advancing through the usage of big data, cybersecurity and the trends in technology are creating an increase in threats. The goal is to protect the databases and devices used at these companies before they are hacked and compromised for unwanted reasons. We’ll see the general concerns with security in the IT field, and steps that specific companies are taking to prevent and adopt to the landscape of the future in security. Devices are increasing at a rapid pace these days, meaning the more data is being expanding.
In addition, the Computer Misuse Act 1990 recognises following offences, which leads to new offences of unauthorized access with the intention of committing a crime. This can lead to a person being guilty of causing a computer to perform any intent of having the secure access of any program/data held in the computer they are accessing.
persons. They are the people the government tracks to see if anything suspicious comes in to the U.S.. The Obama administration said that “extensive procedures, specifically approved by the court, to ensure that only non-U.S. persons outside the U.S. are targeted, and that minimize the acquisition, retention and dissemination of incidentally acquired information about U.S. persons. ”(citation). The government searching people without having a warrant.
It also helps in performing forensic analysis on networks and computer systems and make recommendations for remediation. Implementation involves application, maintaining and analyzing results from intrusion detection systems, intrusion prevention system, network mapping software and other tools that can be used to protect, detect and correct information security-related vulnerabilities and laws. Implementation can also be said to provide audit data to appropriate law enforcement or other investigation agencies to include corporate security elements. The implementation also involves coordinate dissemination of forensic analysis findings to appropriate
Purdy, Elizabeth Rholetter, PhD. "Cyberterrorism." Salem Press Encyclopedia. September 2013. EBSCOhost, search.ebscohost.com/login.aspx?direct=true$db=t60&AN=89677539. Accessed.
The Dark-Lensed Glasses The Invisible Man by Ralph Ellison is full of symbols that represent the narrator’s struggle to live up to his identity. Ralph Ellison, out of the symbols in the novel, used a few very clever ones. The narrator at one point in the book buys some glasses and wears a hat. Although it may seem very normal, it is important because of his reasons.
“Once you’ve lost your privacy, you realize you’ve lost an extremely valuable thing” - Billy Graham. “Invasion of privacy is a legal term. It is used to describe a circumstance where an individual or organization knowingly intrudes upon a person. The intrusion occurs when the person has a reasonable expectation of privacy, such as in a bathroom or locker room”(Winston). There are many factors that help with the loss of privacy these days.
The core value propositions for Amazon’s internet book buyers were price, customer service, selection and convenience. Bezos (2000) claimed. Amazon to be “Earth’s most customer centric”, which meant they needed to listen, be innovative and personalise. Amazon’s personalization efforts were summarised by the CEO of Amazon, Jeff Bezos, by stating “If we have seventeen million customers, we should have seventeen million stores.” (Bezos, 2000).