Preventing DoS Attacks in IoT Using AES

The Internet of Things (IoT) is significant in today’s development of mobile networks enabling to obtain information from the environment, devices, and appliances. A number of applications have been implemented in various kinds of technologies. IoT has high exposure to security attacks and threats. There are several requirements in terms of security. Confidentiality is one of the major concerns in the wireless network. Integrity and availability are key issues along with the confidentiality. This research focuses on identifying the attacks that can occur in IoT. Packet filtering and patches method were used to secure the network and mitigate mentioned attacks but these techniques are not capable of achieving security in IoT. This paper uses Advanced Encryption Standard (AES) to address these mentioned security issues. Official AES version uses the standard for secret key encryption. However, several problems and attacks still occur with the implementation of this original AES. We modified AES by adding white box and the doubling of the AES encryption. We also replaced the Substitute-Byte (S-Box) in the conventional AES with the white box. The significance of a white box is where the whole AES cipher decomposed into round functions. While doubling the process of AES gives difficulty to the attacker or malware to interrupt the network or system. From the algorithms, our proposed solutions can control DoS attack on IoT and any other miniature devices

Energy Efficient Resource Allocation and Utilization in Future Heterogeneous Cellular Network

Future Mobile Heterogeneous Cellular Networks are emerging as promising technology in terms of high speed, low latency and ubiquitous connectivity. Providing energy efficient services in exponentially increasing user size and rigorous utilization of mobile services is a key challenge for mobile operators. The mobile operators deployed dense small cells to enhance the network capacity for providing the network services to maximum users. Instead of fully utilize of the existing deployment, operators leads to enhance the number of small cell base stations to enhance the network coverage. When the number of small cells increases, the energy consumption of the cellular network also increases. Thus a resource efficient, cost effective and energy efficient solution is required to control the deployment of new base station that consequently enhance the energy efficiency. In this paper, an efficient resource allocation and utilization model is proposed using Cognitive Fusion Centre (CFC). Where the CFC has Resource State Information (RSI) of the network resources and manages the free available resources. It helps in generating resource segment to facilitate the incoming users at peak hours. The propose solution can be deployed to any dense environment for maximum resource utilization

EEoP: A Lightweight Security Scheme over PKI in D2D Cellular Networks

Device-to-Device (D2D) communication is a promising technology that facilitates the deployment of devices to provide extended coverage where devices can act as user or relays. However, introducing such technology where the user can act as semi-intelligent relays, open a wide range of security threats, specifically, in terms of confidentiality and integrity. Another key issue of these devices is the limited computational and storage capabilities. Thus, to address the above challenges, this paper proposed a computationally lightweight crypto system based on Elliptic curve and ElGamal over public-key infrastructure (EEoP). It uses ECC for creation of keys while uses ElGamal for encryption and decryption over public-key infrastructure. Mathematical analysis shows that EEoP ensures the confidentiality and integrity of the communication. Performance analysis shows that proposed scheme outperformed the baseline protocols. The proposed crypto system can be used in relay-based communication