This thesis analyzes ways to efficiently protect online resources and private information from cyber threats. It proposes using an Intelligent Intrusion Detection and Prevention System (IIDSIPS) that incorporates an Artificial Neural Network (ANN) as an intelligent agent. The ANN would allow IIDSIPS to learn automatically and continuously update itself to new threats, providing more reliable security as cybercrimes evolve over time. The thesis constructs the design of IIDSIPS using ANN and evaluates its advantages like low cost and ability to self-learn compared to other security solutions. It also discusses potential directions for future research on neural networks in intrusion detection and prevention.

1. ABSTRACT
This bachelore thesis consist from: 64 pages,12 diagrams,23refrences,1 appendix
In this thesis I analyzed and studies to consider the most efficient way
to protect our online resources and information, specially private and
essential information ,from all kinds of cyber predators. To do so on a
professional level, IDSIPS will come in with all the right purposes ,thus ,I
will elaborate on the relationship of security and IDIPS, as well as its
types and methods, but the main aim to this paper along side introducing
IDSIPS and all of if features benefits and disadvantages, I also looked into
ways that can help improving the performance and scale of work under
critical conditions concerning cyber security .A way to make IDSIPS work
independently as an intelligent agent for all defensive and protective
purposes with very high abilities of learning, responding and acting with
great reflex toward all undesired events and actions in the network, Using
the ANN(Artificial Neural Network).
The main approach here is to construct a large scale protection system,
which is the IDSPS but with an intelligent agent, which is the ANN ,The
ANN can be very promising because, its low coast with not much ruling
and instructions to guide with, it can ultimately be the most reliable
approach to counter the matter of cyber crimes and risks, for a very simple
reason, Being self learning and self developing, the ANN can be very
active when coming to being up to date, it consume knowledge and learn
very fast ,through a specific set of learning methods conducted with
endless amount of algorithms introduced to the ANN, according to the
desired tasks ,as a matter of fact ,using the same types of algorithms we
can program the ANN to learn automatically ,as the development of the
cyber crimes continues with time, and different types of breaches and
attacking and hacking techniques and ways being discovered and used to
intrude, the ANN can keep up and adjust to environment with all of its
aspects and keep up with the track of time to protect the network
efficiently.
Furthermore, the paper will also point out the different directions in
which research on neural networks concentrate and the developments and
expected future in the intrusion detection and prevention (IDPS) field.

2. CONTENT
|INTRODUCTION……………………………………………………..1
|CHAPTER.1 OVERVIEW OF SECURITY RISKS AND PROTECTION
TECHNOLOGIES
1.1 OVERVIEW OF THREATS AND RISKS IN THE CYBER WORL…2-7
1.2 SECURITY IN CYBER WORLD…………………………………….8-9
1.3 BASIC CONCEPT OF IDS/IPS……………………………………….9-11
CHAPTER.2 ANALYSISOF IDSIPS SOLUTIONS
2.1 UNDERSTANDING IDS/IPS……………………………………….12-14
2.2 METHODS OF IDS/IPS ……………………………………….15-17
2.3 BEST IDSIPS SOLUTIONS………………………………………..17-20
2.4 NEXT GENERATION IDSIPS SOULTION…………………....20-23
|CHPATER.3 A NEW METHODFOR LARGE SCALE NETWORK
PROTECTION(IIDSIPS) OF ENTERPRISER ENVIRONMENT
3.1 IIDSPS( INTELLIGENT INTRUSION DETECTION AND PREVENTION
SYSTEM)………………………………………………….24-25
3.2 THE NURALNETWORK…………26-33
3.3 THE DESIGNING AND CONSTRUCTIONOF IIDSIPS……34-53
3.4 HOW DOES IIDSIPS WORK(METHOD DESCRIPTION)……… …54-57
|CHAPTER.4 RESULTS OF USING INTELLIGENT INTRUSION
DETECTIUON AND PREVENTION SYSTEM
4.1 ADVANTAGES AND DISADVATANGES…………………………58-59
4.2CONCLUSION………………………………………..60-61
BIBLOGROPHY…………………………………………………..............62-64

4. LIST OF KEY WORDS
IDSIPS- INRUSTION DECTECTION SYSTEM AND INTRUSTION
PREVENTION SYSTEM
IDS- INTRUSION DETECTION SYSTEM
IPS- INTRUSION PREVENTION SYSTEM
NGIPS- NEXT GENERATION INTRUSTION PREVENTION SYSTEM
DOS- DENIAL OF SERVICE
AMP- ADVANCED MALWARE PROTECTION
IIDSIPS- INTELLIGENT INTRUSION DETECTION SYSTEM AND
PREVENTION SYSTEM
ANN- ARTIFICAL NEURAL NETWORK
MLP- MULTI-LEVEL PRECEPTRON
SOM- SELF ORGANIZING MAP