Security is becoming a critical part of organizational information systems and security of a computer system or network is compromised when an intrusion takes place. In the field of computer networks security, the detection of threats or attacks is nowadays a critical problem to solve. Intrusion Detection Systems (IDS) have become a standard component in network security infrastructures and is ...

Internet of Things is an ever-growing network of heterogeneous and constraint nodes which are connected to each other and the Internet. Security plays an important role in such networks. Experience has proved that encryption and authentication are not enough for the security of networks and an Intrusion Detection System is required to detect and to prevent attacks from malicious nodes. In this ...

With the rapid growth of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is through monitoring unusual user activity. This can be achieved with an Intrusion Detection System, which identifies attacks and reacts by generating alerts or by blocking the unwanted data/traffic. These systems are mainl...

Network intrusion detection is of great importance in the research field of information security in computer networks. In this paper, we concentrate on how to automatically detect the network intrusion behavior utilizing fuzzy support vector machine. After analyzing the related works of the proposed paper, we introduce the main characterics of fuzzy support vector machine, and demonstrate its f...

In this dissertation research we aim to design and validate intrusion detection system (IDS) protocols for a cyber physical system (CPS) comprising sensors, actuators, control units, and physical objects for controlling and protecting physical infrastructures. The design part includes host IDS, system IDS and IDS response designs. The validation part includes a novel model-based analysis method...

The existing well-known network based intrusion detection/ prevention techniques such as the misuse detection technique, etc, are widely used. However, because the misuse detection based intrusion prevention system is proportionally depending on the detection rules, it causes excessive large false alarm which is linked to wrong correspondence. This study suggests an intrusion prevention system ...

As the number and size of the Network and Internet traffic increase and the need for the intrusion detection grows in step to reduce the overhead required for the intrusion detection and diagnosis, it has made public servers increasingly vulnerable to unauthorized accesses and incursion of intrusions[2]. In addition to maintaining low latency and poor performance for the client, filtering unaut...

Due to the rapid growth of networked computer resources and the increasing importance of related applications, intrusions which threaten the infrastructure of these applications have are critical problems. In recent years, several intrusion detection systems designed to identify and detect possible intrusion behaviors. In this work, an intrusion detection model is proposed to for building an in...

The study examined the detection of attacks against computer networks, which is becoming a harder problem to solve in the field of Network security. A problem with current intrusion detection systems is that they have many false positive and false negative events. Most of the existing Intrusion detection systems implemented depend on rule-based expert systems where new attacks are not detectabl...

In the field of network intrusion detection, both the signature-based intrusion detection system and the machine learning-based intrusion detection system possess advantages and disadvantages. When the two discrepant systems are combined in a way that the former is used as the main system and the latter as a supporting system, the machine learning-based intrusion detection system measures the v...