Summary
Because of the rapid increasing of malware attacks on the Internet of Things in recent years, it is critical for resource-constrained devices to guard against potential risks. The traditional host-based security solution becomes puffy and inapplicable with the development of malware attacks. Moreover, it is hard for the cloud-based security solution to achieve both the high performance detection and the data privacy protection simultaneously. This paper proposes a cloud-based anti-malware system, called CloudEyes, which provides efficient and trusted security services for resource-constrained devices. For the cloud server, CloudEyes presents suspicious bucket cross-filtering, a novel signature detection mechanism based on the reversible sketch structure, which provides retrospective and accurate orientations of malicious signature fragments. For the client, CloudEyes implements a lightweight scanning agent which utilizes the digest of signature fragments to dramatically reduce the range of accurate matching. Furthermore, by transmitting sketch coordinates and the modular hashing, CloudEyes guarantees both the data privacy and low-cost communications. Finally, we evaluate the performance of CloudEyes by utilizing both the campus suspicious traffic and normal files. The results demonstrate that the mechanisms in CloudEyes are effective and practical, and our system can outperform other existing systems with less time and communication consumption. Copyright © 2016 John Wiley & Sons, Ltd.

CloudEyes: Cloud-based malware detection with reversible sketch for resource-constrained internet of things (IoT) devices

A survey on network coding

Distributed Denial of Service (DDoS) is defined as an attack in which mutiple compromised systems are made to attack a single target to make the services unavailable foe legitimate users.It is an attack designed to render a computer or network incapable of providing normal services. DDoS attack uses many compromised intermediate systems, known as botnets which are remotely controlled by an attacker to launch these attacks. DDOS attack basically results in the situation where an entity cannot perform an action for which it is authenticated. This usually means that a legitimate node on the network is unable to reach another node or their performance is degraded. The high interruption and severance caused by DDoS is really posing an immense threat to entire internet world today. Any compromiseto computing, communication and server resources such as sockets, CPU, memory, disk/database bandwidth, I/O bandwidth, router processing etc. for collaborative environment would surely endanger the entire application. It becomes necessary for researchers and developers to understand behaviour of DDoSattack because it affects the target network with little or no advance warning. Hence developing advanced intrusion detection and prevention systems for preventing, detecting, and responding to DDOS attack is a critical need for cyber space. Our rigorous survey study presented in this paper describes a platform for the study of evolution of DDoS attacks and their defense mechanisms.

/pdf/a-survey-on-latest-dos-attacks-classificationand-defense-2qkb8bgtq5.pdf

A Survey on Latest DoS Attacks:Classificationand Defense Mechanisms

Security against passive attacks on network coding system – A survey

Toward Secure and Lightweight Data Transmission for Cloud-Edge-Terminal Collaboration in Artificial Intelligence of Things

Network coding has emerged as a promising approach for peer-to-peer converged
 ubiquitous networks to increase network capacity and solve the block reconciliation
 problem. However, peer-to-peer systems with network coding suffer a severe security
 threat, known as pollution attack, in which malicious peers inject corrupted packets
 into the information flow. Previous solutions are either computationally expensive
 or too ineffective to limit pollution attacks with arbitrary collusion among
 malicious peers. In this paper, we propose time keys, an efficient security scheme
 which allows participating peers to efficiently detect corrupted packets by using
 time and space properties of network coding. Our work is an innovative security
 solution to frustrate pollution attacks with collusion based on time and space
 properties of network coding. In addition, time keys scheme provides an efficient
 packet verification without requiring the existence of any extra secure channels. We
 also present security analysis and simulations of our scheme, and results
 demonstrate the practicality and efficiency of time keys scheme.

Securing network coding against pollution attacks in P2P converged ubiquitous networks

In this paper, the recent research on secure transmission of network coding in wireless networks is reviewed. Security risks have become a major problem to the development of wireless networks, and network coding is the development trend of next generation secure networks. Firstly, the brief concept of network coding is introduced. Secondly, up to date related research on secure network coding in wireless networks are discussed. Finally, theory and application prospects for secure network coding in wireless networks are given and analyzed. Considering intrinsic properties of network coding, it is important to design a simple and efficient secure network coding schemes in wireless networks. We can see that network coding in wireless networks is a promising research area.

Survey on Secure Transmission of Network Coding in Wireless Networks

Wireless channel allocation plays as an important role in the design of wireless network, as it greatly influences the throughput and performance of the network. Based on the measurement over a small test-bed, we find the relationship between network throughput and interference. We introduce a wireless channel allocation model, which is able to minimize the network interference. Based on these works, we put forward to a new algorithm named WCAAMI (Wireless Channel Allocation Algorithm with the Minimum Interference), which can converge to a stable optimal point and obtain the better network performance.

A wireless Channel Allocation Algorithm with the Minimum Interference

By allowing the mixture of information at the source and intermediate nodes, network coding benefits network protocols with increased throughput and higher reliability However, such mixture makes network coding systems suffering pollution attacks, in which malicious nodes inject corrupted packets into the information flow Previous solutions are either computationally expensive or too ineffective to limit pollution attacks with arbitrary collusion among malicious nodes In this paper, we propose an efficient authentication scheme, STNC, which allows intermediate nodes to efficiently detect corrupted packets by using space and time properties of network coding Our work is an innovative space and time based solution to frustrate pollution attacks with arbitrary collusion among malicious nodes, and the security of STNC scheme relies on the asymmetry of time in packet verification We also present security analysis and simulations of our scheme, and results demonstrate the practicality and efficiency of STNC scheme

http://ieeexplore.ieee.org/iel7/6519162/6525877/06526330.pdf

Securing network coding against pollution attacks based on space and time properties

Network coding based applications are notoriously susceptible to malicious pollution attacks. Packets authentication schemes have been well-recognized as the most effective approach to address this security threat. However, existing packets authentication schemes for network coding either incur high computation overhead, or are vulnerable to arbitrary collusion among attackers. In this paper, we proposed a novel dynamic authentication scheme for secure network coding by dynamically using the linear vector subspaces of network coding. The scheme can efficiently detect packets generated by pollution attackers, and effectively resist arbitrary collusion among attackers. Our work is an innovative dynamic solution to frustrate pollution attacks with arbitrary collusion among attackers, and authentication cost can be further reduced by employing batch authentication in participating nodes. In addition, our scheme provides an efficient packet authentication without requiring the existence of any extra secure channel. Security analysis and simulations results demonstrate the practicality and efficiency of our scheme. DOI:  http://dx.doi.org/10.11591/telkomnika.v11i5.2470

An Efficient Dynamic Authentication Scheme for Secure Network Coding

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