Reviewing effectivity in security approaches towards strengthening internet architecture

The usage of existing Internet architecture is shrouded by various security loopholes and hence is highly ineffective towards resisting potential threats over internet. Hence, it is claimed that future internet architecture has been evolved as a solution to address this security gaps of existing internet architecture. Therefore, this paper initiates its discussion by reviewing the existing practices of web security in conventional internet architecture and has also discussed about some recent solutions towards mitigating potentially reported threats e.g. cross-site scripting, SQL inject, and distributed denial-of-service. The paper has also discussed some of the recent research contribution towards security solution considering future internet architecture. The proposed manuscripts contributes to showcase the true effectiveness of existing approaches with respect to advantages and limitation of existing approaches along with explicit highlights of existing research problems that requires immediate attention

Implementation of DoS and DDoS attacks on cloud servers

Cloud environments face many threats as traditional corporate networks, but due to the vast amount of data stored on cloud servers, providers become an attractive target. Thus the security level of data on the cloud servers is always a key issue from preventing potential attacks. This paper intends to show a relatively easy way to implement a Denial of Service (DoS) attack and/or a Distributed Denial of Service (DDoS) attack. The used Phyton scripts like HULK or XML-RPC are able to make several hundred requests to the server in short period of time. The HULK is better for DoS attack, while XML-RPC is for pure DDoS attack. It is concluded that with proper tools and applications, the access to the VM and DDoS can be implemented relatively easy way

Security and Privacy Issues of Big Data

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.Comment: In book Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, IGI Global, 201

Hybrid Intrusion Detection System for DDoS Attacks

Distributed denial-of-service (DDoS) attacks are one of the major threats and possibly the hardest security problem for today’s Internet. In this paper we propose a hybrid detection system, referred to as hybrid intrusion detection system (H-IDS), for detection of DDoS attacks. Our proposed detection system makes use of both anomaly-based and signature-based detection methods separately but in an integrated fashion and combines the outcomes of both detectors to enhance the overall detection accuracy. We apply two distinct datasets to our proposed system in order to test the detection performance of H-IDS and conclude that the proposed hybrid system gives better results than the systems based on nonhybrid detection

Contribuciones para la Detección de Ataques Distribuidos de Denegación de Servicio (DDoS) en la Capa de Aplicación

Se analizaron seis aspectos sobre la detección de ataques DDoS: técnicas, variables, herramientas, ubicación de implementación, punto en el tiempo y precisión de detección. Este análisis permitió realizar una contribución útil al diseño de una estrategia adecuada para neutralizar estos ataques. En los últimos años, estos ataques se han dirigido hacia la capa de aplicación. Este fenómeno se debe principalmente a la gran cantidad de herramientas para la generación de este tipo de ataque. Por ello, además, en este trabajo se propone una alternativa de detección basada en el dinamismo del usuario web. Para esto, se evaluaron las características del dinamismo del usuario extraídas de las funciones del mouse y del teclado. Finalmente, el presente trabajo propone un enfoque de detección de bajo costo que consta de dos pasos: primero, las características del usuario se extraen en tiempo real mientras se navega por la aplicación web; en segundo lugar, cada característica extraída es utilizada por un algoritmo de orden (O1) para diferenciar a un usuario real de un ataque DDoS. Los resultados de las pruebas con las herramientas de ataque LOIC, OWASP y GoldenEye muestran que el método propuesto tiene una eficacia de detección del 100% y que las características del dinamismo del usuario de la web permiten diferenciar entre un usuario real y un robot

Defence against Denial of Service (DoS) attacks using Identifier-Locator Network Protocol (ILNP) and Domain Name System (DNS)

This research considered a novel approach to network security by combining a new networking architecture based on the Identifier-Locator Network Protocol (ILNP) and the existing Domain Name System (DNS). Specifically, the investigations considered the mitigation of network-level and transport-level based Denial of Service (DoS) attacks. The solutions presented for DoS are applicable to secure servers that are visible externally from an enterprise network. DoS was chosen as an area of concern because in recent years DoS has become the most common and hard to defend against attacks. The novelty of this approach was to consider the way the DNS and ILNP can work together, transparently to the application, within an enterprise scenario. This was achieved by the introduction of a new application-level access control function - the Capability Management System (CMS) - which applies configuration at the application level (DNS data) and network level (ILNP namespaces). CMS provides dynamic, ephemeral identity and location information to clients and servers, in order to effectively partition legitimate traffic from attack traffic. This was achieved without modifying existing network components such as switches and routers and making standard use of existing functions, such as access control lists, and DNS servers, all within a single trust domain that is under the control of the enterprise. The prime objectives of this research were: • to defend against DoS attacks with the use of naming and DNS within an enterprise scenario. • to increase the attacker’s effort in launching a successful DoS attack. • to reduce the visibility of vulnerabilities that can be discovered by an attacker by active probing approaches. • to practically demonstrate the effectiveness of ILNP and DNS working together to provide a solution for DoS mitigation. The solution methodology is based on the use of network and transport level capabilities, dynamic changes to DNS data, and a Moving Target Defence (MTD) paradigm. There are three solutions presented which use ILNP namespaces. These solutions are referred to as identifier-based, locator-based, and combined identifier-locator based solutions, respectively. ILNP-based node identity values were used to provide transport-level per-client server capabilities, thereby providing per-client isolation of traffic. ILNP locator values were used to allow a provision of network-level traffic separation for externally accessible enterprise services. Then, the identifier and locator solutions were combined, showing the possibility of protecting the services, with per-client traffic control and topological traffic path separation. All solutions were site-based solutions and did not require any modification in the core/external network, or the active cooperation of an ISP, therefore limiting the trust domain to the enterprise itself. Experiments were conducted to evaluate all the solutions on a test-bed consisting of off-the-shelf hardware, open-source software, an implementation of the CMS written in C, all running on Linux. The discussion includes considering the efficacy of the solutions, comparisons with existing methods, the performance of each solution, and critical analysis highlighting future improvements that could be made