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❶Propagation of these signals would enable the system to immune itself from attacks.

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Europe Africa Asia Oceania. Tables Comparison Tables Creative Layouts. Thesis Presentation PowerPoint Template. The rest of the sequence is followed: Context and background of the idea explain what paper is all about. The number of features required to bind before a match can be made between antigen epitopes and lymphocyte receptors is known as affinity threshold.

If B cell receptors bind themselves to an antigen epitope above a certain threshold , they get directly activated. However, if B cell antibody receptor binds to an antigen epitope with weak affinity, it seeks the help of T cells and MHC.

MHC helps B cells by performing 2 functions -gt Binds to hidden fragments of antigens that are not visible on the cell surface. In order for the T cell receptors to recognize the antigens, the antigens needs to first be processed by APCs which are usually dendritic cells.

The processed antigen is then stuck into the special molecule inside the MHC. When T cell receptor binds to the MHC molecule with strong affinity, it sends chemical signal to B cell which lets it get activated immediately. Kepharts immunologically inspired approach - Known virus -gt computer coded sequences.

Dipankar Dasguptas approach - Computational aspects of immune system integrated in single framework. Mell and McLarnons approach towards ensuring attack resistance in mobile agents not an immune based approach - Attack resistance achieved through five stages.

Emergence of Danger Theory -gt According to SNS any entity that originates from the organism will not trigger an immune response, where as an entity that originates outside of the organism will trigger an immune reaction -gt Many immunologists questioning the legitimacy of the above statement.

This results in reduced false alarms. Propagation of these signals would enable the system to immune itself from attacks. Cells can die in two ways -gt Necrosis get killed accidentally by harmful pathogens.

In the case of Apoptosis, the cells that undergo suicide, sends out signals to nearby scavenger cells Phagocytes , which helps prevent the dying cell from releasing harmful toxins intact cell membrane 48 Apoptosis Programmed Cell Death 49 Concept of Danger Theory Cont.

In the case of Necrosis, the cell death is not organized. The disorderly death does not send signals which inform the nearby Phagocytes to engulf the injured cells. This makes it hard for the cleanup cells Phagocytes to locate and digest the cells that die due to Necrosis. The injury received by the cells, compromises the cell membrane which stores special digestive enzymes. The release of this harmful toxin, accelerates unorganized chemical reaction. DT was built on the concept that proposed that the intracellular contents that were released by damaged cells were actually a form of danger signal that alerted the nearby APCs and activated them.

Only cells that die due to Necrosis would send out alarm signals. Healthy cells and cells that die due to Apoptosis or PCD should not. Danger Model was built on existing immune signal model that utilizes the SNS discrimination. Alerts classified as -gt Apoptotic prerequisite for an attack. Relies on successful correlation of prerequisite and consequence of individual attacks to develop intrusion scenario.

In DT based alert correlation post-conditions of certain attacks can be used as precondition for other attacks linking alerts. Hence, it is sufficient to specify properties such as prerequisites and consequences for individual attacks. This enables identify missing alerts.

DT based IDS would minimize false alarms as it can quantify the degree of alert detection by appropriately tuning the intrusion signatures and anomaly thresholds. Striking a balance between Apoptotic and Necrotic alerts would enable IDS to identify the most suitable intrusion signature and anomaly threshold setting. Similar to memory cells in HIS, intrusion signatures and thresholds are continuously redefined as new attacks invade the system.

This significantly increases the accuracy rate of the IDS. When intrusion detection sensor identifies the presence of unauthorized activity, it raises an alert. Danger alerts arising from one sensor can be transmitted to nearby sensors informing them of the intruder presence.

Alerts are propagated only if the probability of an intrusion scenario is higher than the threshold set. Activation of nearby sensors establishes Danger Zone. Works at four levels -gt Host level. Each phase denotes distinct sequence of events which leads to the progression to the next phase. Recruitment Phase One Coordinator of the Intrusion Detection Squad responsible for recruitment of customized mobile agents.

Dispersal Phase Two Coordinator sends agents to neighborhood patrol. When it receives the monitoring results from the agents, it communicates with Peer Information Buffer to decide whether an action plan is required. Propagation Phase Four Coordinator activates the Neutralizer unit and starts to propagate the danger signal to all its neighbors upon confirming the presence of intrusion.

Neutralization Phase Five Neutralizer unit takes necessary steps based on the type and severity of the attack to immunize itself from the infected node.

Updating Knowledge Database Phase Six If the signature of the undergoing attack is not already saved, the coordinator feeds the detected anomaly to Anomaly Signature Converter unit to generate a signature. After this the knowledge database is updated.

Introduction to Computer Security. Addison Wesley Boston, Self-Nonself Discrimination in a Computer. Active defense of a computer system using autonomous agents. The immune System evolved to discriminated infectious nonself from noninfectious self, Immunology Today, Vol 13, Pages , A theory of self-nonself discrimination, Science, Vol , Pages , A, 80 Bibliography Applying mobile agents to intrusion detection and response, Technical report, National Institute of Standard and Technology, Interim Report , Computer security threat monitoring and surveillance.

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Masters Thesis Defense - Server computes each Customer agent's Barking up the wrong tree. Abstract Case Attributes in DollarBay

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Thesis Powerpoint 1. Neha Verma Graduate Student Civil Engineering Program Louisiana Tech University 1 2. Objectives of the research Problem definition Scope of work Methodology Result Analysis Conclusion Recommendation 2 3.

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