Biblio

Internet of Things (IoT) and those protocol CoAP and MQTT has security issues that have entirely changed the security strategy should be utilized and behaved for devices restriction. Several challenges have been observed in multiple domains of security, but Distributed Denial of Service (DDoS) have actually dangerous in IoT that have RT. Thus, the IoT paradigm and those protocols CoAP and MQTT have been investigated to seek whether network services could be efficiently delivered for resources usage, managed, and disseminated to the devices. Internet of Things is justifiably joined with the best practices augmentation to make this task enriched. However, factors behaviors related to traditional networks have not been effectively mitigated until now. In this paper, we present and deep, qualitative, and comprehensive systematic mapping to find the answers to the following research questions, such as, (i) What is the state-of-the-art in IoT security, (ii) How to solve the restriction devices challenges via infrastructure involvement, (iii) What type of technical/protocol/ paradigm needs to be studied, and (iv) Security profile should be taken care of, (v) As the proposals are being evaluated: A. If in simulated/virtualized/emulated environment or; B. On real devices, in which case which devices. After doing a comparative study with other papers dictate that our work presents a timely contribution in terms of novel knowledge toward an understanding of formulating IoT security challenges under the IoT restriction devices take care.

How to prevent the computer system from being interfered by external factors and maintain a strong working state is a problem that needs to be solved at present. At present, encryption and network security defense systems are important technical means of security defense. Based on this research background, the paper proposes an AES data encryption scheme in the Hadoop big data environment. The AES algorithm performs several rounds of plaintext encryption through the steps of round key addition, byte replacement, row displacement, column confusion, etc. Under the MapReduce architecture, the plaintext data is divided into multiple data fragments. The Map function is responsible for the AES algorithm encryption operation, and the Reduce function Combine encrypted data information. Finally, the paper designs a computer network security defense system that can actively discover the security threats in the network and effectively prevent them, so as to ensure the normal and safe operation of the network. At the same time, we use the encryption algorithm on the computer network security defense system. Experimental research has proved that this method can safely transmit network data packets. With the increase of computing cluster nodes, its encryption transmission efficiency continues to improve. This solution not only solves the problem of computer network data security encryption, but also realizes the parallel transmission of encrypted data in the information age.

Development of an intrusion detection system, which tries to detect signs of technology of malware, is discussed. The system can detect signs of technology of malware such as peer to peer (P2P) communication, DDoS attack, Domain Generation Algorithm (DGA), and network scanning. The system consists of beneficial botnet and the R statistical computing system. The beneficial botnet is a group of Wiki servers, agent bots and analyzing bots. The script in a Wiki page of the Wiki server controls an agent bot or an analyzing bot. An agent bot is placed between a LAN and its gateway. It can capture every packet between hosts in the LAN and hosts behind the gateway from the LAN. An analyzing bot can be placed anywhere in the LAN or WAN if it can communicate with the Wiki server for controlling the analyzing bot. The analyzing bot has R statistical computing system and it can analyze data which is collected by agent bots.

There is very significant role of Virtualization in cloud computing. The physical hardware in the cloud computing reside with the host machine and the virtualization software runs on it. The virtualization allows virtual machines to exist. The host machine shares its physical components such as memory, storage, and processor ultimately to handle the needs of the virtual machines. If an attacker effectively compromises one VM, it could outbreak others on the same host on the network over long periods of time. This is an gradually more popular method for cross-virtual-machine attacks, since traffic between VMs cannot be examined by standard IDS/IPS software programs. As we know that the cloud environment is distributed in nature and hence more susceptible to various types of intrusion attacks which include installing malicious software and generating backdoors. In a cloud environment, where organizations have hosted important and critical data, the security of underlying technologies becomes critical. To alleviate the hazard to cloud environments, Intrusion Detection Systems (IDS) are a cover of defense. In this paper, we are proposing an innovative model for Intrusion Detection System for securing Host machines in cloud infrastructure. This proposed IDS has two important features: (1) signature based and (2) prompt alert system.

Content Delivery Networks(CDN) is a standout amongst the most encouraging innovations that upgrade performance for its clients' websites by diverting web demands from browsers to topographically dispersed CDN surrogate nodes. However, due to the variable nature of CDN, it suffers from various security and resource allocation issues. The most common attack which is used to bring down a whole network as well as CDN without even finding a loophole in the security is DDoS. In this proposal, we proposed a distributed virtual honeypot model for diminishing DDoS attacks and prevent intrusion in securing CDN. Honeypots are specially utilized to imitate the primary server with the goal that the attack is alleviated to the fake rather than the main server. Our proposed layer based model utilizes honeypot to be more effective reducing the cost of the system as well as maintaining the smooth delivery in geographically dispersed servers without performance degradation.

A covert channel is a communication channel that is subjugated for illegal flow of information in a way that violates system security policies. It is a dangerous, invisible, undetectable, and developed security attack. Recently, Packet length covert channel has motivated many researchers as it is a one of the most undetectable network covert channels. Packet length covert channel generates a covert traffic that is very similar to normal terrific which complicates the detection of such type of covert channels. This motivates us to introduce a machine learning based detection scheme. Recently, a machine learning approach has proved its capability in many different fields especially in security field as it usually brings up a reliable and realistic results. Based in our developed content and frequency-based features, the developed detection scheme has been fully trained and tested. Our detection scheme has gained an excellent degree of detection accuracy which reaches 98% (zero false negative rate and 0.02 false positive rate).

SQL injection attack (SQLIA) pose a serious security threat to the database driven web applications. This kind of attack gives attackers easily access to the application's underlying database and to the potentially sensitive information these databases contain. A hacker through specifically designed input, can access content of the database that cannot otherwise be able to do so. This is usually done by altering SQL statements that are used within web applications. Due to importance of security of web applications, researchers have studied SQLIA detection and prevention extensively and have developed various methods. In this research, after reviewing the existing research in this field, we present a new hybrid method to reduce the vulnerability of the web applications. Our method is specifically designed to detect and prevent SQLIA. Our proposed method is consists of three phases namely, the database design, implementation, and at the common gateway interface (CGI). Details of our approach along with its pros and cons are discussed in detail.

In Mobile Ad hoc Network (MANET) is a self-organizing session of communication between wireless mobile nodes build up dynamically regardless of any established infrastructure or central authority. In MANET each node behaves as a sender, receiver and router which are connected directly with one another if they are within the range of communication or else will depend on intermediate node if nodes are not in the vicinity of each other (hop-to-hop). MANET, by nature are very open, dynamic and distributed which make it more vulnerable to various attacks such as sinkhole, jamming, selective forwarding, wormhole, Sybil attack etc. thus acute security problems are faced more related to rigid network. A Wormhole attack is peculiar breed of attack, which cause a consequential breakdown in communication by impersonating legitimate nodes by malicious nodes across a wireless network. This attack can even collapse entire routing system of MANET by specifically targeting route establishment process. Confidentiality and Authenticity are arbitrated as any cryptographic primitives are not required to launch the attack. Emphasizing on wormhole attack attributes and their defending mechanisms for detection and prevention are discussed in this paper.

In Mobile Ad hoc Network (MANET) is a self-organizing session of communication between wireless mobile nodes build up dynamically regardless of any established infrastructure or central authority. In MANET each node behaves as a sender, receiver and router which are connected directly with one another if they are within the range of communication or else will depend on intermediate node if nodes are not in the vicinity of each other (hop-to-hop). MANET, by nature are very open, dynamic and distributed which make it more vulnerable to various attacks such as sinkhole, jamming, selective forwarding, wormhole, Sybil attack etc. thus acute security problems are faced more related to rigid network. A Wormhole attack is peculiar breed of attack, which cause a consequential breakdown in communication by impersonating legitimate nodes by malicious nodes across a wireless network. This attack can even collapse entire routing system of MANET by specifically targeting route establishment process. Confidentiality and Authenticity are arbitrated as any cryptographic primitives are not required to launch the attack. Emphasizing on wormhole attack attributes and their defending mechanisms for detection and prevention are discussed in this paper.