Biblio

This paper presents a wireless intrusion prevention tool for distributed denial of service attacks DDoS. This tool, called Wireless Distributed IPS WIDIP, uses a different collection of data to identify attackers from inside a private network. WIDIP blocks attackers and also propagates its information to other wireless routers that run the IPS. This communication behavior provides higher fault tolerance and stops attacks from different network endpoints. WIDIP also block network attackers at its first hop and thus reduce the malicious traffic near its source. Comparative tests of WIDIP with other two tools demonstrated that our tool reduce the delay of target response after attacks in application servers by 11%. In addition to reducing response time, WIDIP comparatively reduces the number of control messages on the network when compared to IREMAC.

As DDOS attacks interrupt internet services, DDOS tools confirm the effectiveness of the current attack. DDOS attack and countermeasures continue to increase in number and complexity. In this paper, we explore the scope of the DDoS flooding attack problem and attempts to combat it. A contemporary escalation of application layer distributed denial of service attacks on the web services has quickly transferred the focus of the research community from conventional network based denial of service. As a result, new genres of attacks were explored like HTTP GET Flood, HTTP POST Flood, Slowloris, R-U-Dead-Yet (RUDY), DNS etc. Also after a brief introduction to DDOS attacks, we discuss the characteristics of newly proposed application layer distributed denial of service attacks and embellish their impact on modern web services.

In this paper, we propose and implement CommunityGuard, a system which comprises of intelligent Guardian Nodes that learn and prevent malicious traffic from coming into and going out of a user's personal area network. In the CommunityGuard model, each Guardian Node tells others about emerging threats, blocking these threats for all users as soon as they begin. Furthermore, Guardian Nodes regularly update themselves with latest threat models to provide effective security against new and emerging threats. Our evaluation proves that CommunityGuard provides immunity against a range of incoming and outgoing attacks at all points of time with an acceptable impact on network performance. Oftentimes, the sources of DDoS attack traffic are personal devices that have been compromised without the owner's knowledge. We have modeled CommunityGuard to prevent such outgoing DDoS traffic on a wide scale which can hamstring the otherwise very frightening prospects of crippling DDoS attacks.

This paper proposed a new detection and prevention system against DDoS (Distributed Denial of Service) attack in SDN (software defined network) architecture, FL-GUARD (Floodlight-based guard system). Based on characteristics of SDN and centralized control, etc., FL-GUARD applies dynamic IP address binding to solve the problem of IP spoofing, and uses 3.3.2 C-SVM algorithm to detect attacks, and finally take advantage of the centralized control of software-defined network to issue flow tables to block attacks at the source port. The experiment results show the effectiveness of our system. The modular design of FL-GUARD lays a good foundation for the future improvement.

The Distributed Denial of Service (DDoS) attack is a main concern in network security. Since the attackers have developed different techniques and methods, preventing DDoS attacks has become more difficult. Traditional firewall is ineffective in preventing DDoS attacks. In this paper, we propose a new type of firewall named XFirewall to defend against DDoS attacks. XFirewall is a temporary firewall and is created when an attack occurs. Also, XFirewall will be configured with dynamic rules based on real-time traffic analysis. We will discuss in detail the design and algorithm for generating an XFirewall.

The traditional physical power grid is evolving into a cyber-physical Smart Grid (SG) that links the cyber communication and computational elements with the physical control functions to dynamically integrate varied and geographically distributed energy producers/consumers. In the SG, the cyber elements of Wide Area Measurement Systems (WAMS) are deployed to provide the critical monitoring of the state of power transmission and distribution to accomplish real-time control of the grid. Unfortunately, the increasing adoption of such computing/communication cyber-technologies essential to providing the SG operations also opens the risk of the SG being vulnerable to cyberattacks. In particular, attacks such as Denial-of-Service (DoS) and Distributed DoS (DDoS) are of primary concern for WAMS where such attacks can compromise its safety-critical accuracy and responsiveness characteristics. To prevent DoS/DDoS attacks at the transport and application layer from affecting the WAMS operations, we propose a proactive and robust extension of the Multipath-TCP (MPTCP) transportation protocol that mitigates such attacks by using a novel stream hopping MPTCP mechanism, termed as MPTCP-H. The proposed MPTCP-H hides the open port numbers of the connection from an attacker by renewing (over time) the subflows over new port numbers without perturbing the WAMS data traffic. Our results demonstrate MPTCP-H to be both effective and efficient (for reduced latency and congestion), and also applicable to the communication frameworks of other similar Critical Infrastructures.

Cloud computing emerges as an endowment technological data for the longer term and increasing on one of the standards of utility computing is most likely claimed to symbolize a wholly new paradigm for viewing and getting access to computational assets. As a result of protection problem many purchasers hesitate in relocating their touchy data on the clouds, regardless of gigantic curiosity in cloud-based computing. Security is a tremendous hassle, considering the fact that so much of firms present a alluring goal for intruders and the particular considerations will pursue to lower the advancement of distributed computing if not located. Hence, this recent scan and perception is suitable to honeypot. Distributed Denial of Service (DDoS) is an assault that threats the availability of the cloud services. It's fundamental investigate the most important features of DDoS Defence procedures. This paper provides exact techniques that been carried out to the DDoS attack. These approaches are outlined in these paper and use of applied sciences for special kind of malfunctioning within the cloud.