Security Flaws Research Articles

The Dangers of Public Wi-Fi: How to Protect Your Device Through Cyber Security

The public Wi-Fi networks become more and more common, there are numerous risks to personal cybersecurity. This article explores the hidden risks users encounter when connecting to these public networks, including malware distribution, surveillance, and attacks known as man in the middle. It also looks at doable standards for cybersecurity along with measures, like turning on firewalls and using virtual private networks (VPNs), that can help reduce these risks. There is an emphasis on the possible consequences of cybersecurity breaches, which can include anything from data theft to monetary losses. The article also looks at the statutory and regulatory structures that control the security of public Wi-Fi. Lastly, it points out gaps in the body of knowledge, opening the door for more studies and suggestions in this important area. This research looks at the potential dangers of utilising public Wi-Fi and offers workable cybersecurity recommendations for protecting mobile devices. The research is organised around three main topics such as security flaws in public Wi-Fi networks, the success of various cybersecurity methods, and the importance of educating and protecting end users. The first topic discusses how to spot and assess dangers like eavesdropping and man-in-the-middle attacks when using public Wi-Fi. The effectiveness and usefulness of VPNs and encryption techniques are evaluated in the second topic. The third principle stresses the value of advising users on how to keep their Wi-Fi connections safe and secure through consumer education. This research attempts to provide a thorough comprehension of device security in public Wi-Fi settings through thematic secondary data analysis. The results and suggestions are meant to provide consumers with the tools they need to safeguard their devices in advance, leading to a more secure time spent online.

An Efficient Secure Group Authenticated Key Agreement Protocol for Wireless Sensor Networks in IoT Environment

Internet of Things(IoT) consist of interconnected devices for transmitting and receiving the data over the network. Key management is important for data confidentiality while transmitting in an open network. Even though several key management techniques are feasible to use, still obtaining a key management technique is a challenge with respect to energy and computational cost. The main intention of this work is to discover and overcome the design issues of the existing system and implement a lightweight and secure solution for that issue. The existing system has a fatal security flaw that leads to the unavailability of a complete system which is considered a huge problem in Internet of things. To overcome this issue, an authenticated key management protocol is proposed which deals with the problem of single point of failure and maintains the security properties of the existing system. An authenticated scheme is provided using elliptic curve and hash functions. This scheme also provides client addition, deletion and key freshness. Security analysis and computation complexity has been also discussed. We experimented proposed algorithm and tested with Scyther verification tool. The design overcomes the issues of an existing system by utilizing our scheme in peer to peer network. This network resolves the issue of a single point of failure (SPOF) by distributing the resources and services to the multiple nodes in the network. It will dissolve the problem of SPOF and will increase the reliability and scalability of the IoT system.

Verification of an Evolving Security Scheme in the Internet of Vehicles

The security scheme of the Internet of Vehicles (IoV) protects the vehicles from network attacks. However, during the experimental deployment of the IoV, people usually pay attention to its function and performance, and only develop a security scheme empirically when security defects are found. When a security scheme becomes very complex, it is very difficult to find the security vulnerability and to modify it. In view of this, we propose a verification method to verify the security of an evolving security scheme. This method uses formal methods to verify the evolving security scheme, actively finds the security problems of the security scheme, and promotes the evolution of the security scheme accordingly. This method is applied to the scenario of the IoV and its security scheme—the method evolves the Internet of Vehicles configuration and the security properties, establishes a corresponding formal model, and then iteratively verifies this using a formal method. The approach can fully simulate the evolution process of a security scheme in the IoV during deployment, and can effectively find the corresponding security vulnerabilities, to promote the evolving security scheme in the IoV, which supports the feasibility and usability of the method.

IPMRSS: An Improved privacy-preserving medical record searching scheme for intelligent diagnosis in IoMT

With the rapid development of artificial intelligence, the Internet of Things and next generation mobile communication, the Internet of Medical Things (IoMT) as a typical application has attracted increasing attention as a typical application thereof owing to its convenience and practicality. To address certain privacy preservation issues concerning accessing patients records from past case databases as well as diagnosed patients’ sensitive information on the Internet of Medical Things, an IoMT-secure privacy-preserving medical record search scheme (PMRSS) based on ELGamal blind signatures is proposed. In this paper, we first show that certain security flaws exists in the PMRSS. To address these flaws, we propose an improved privacy protection medical record searching scheme (iPMRSS) in IoMT for intelligent diagnoses based on the elliptical curve discrete logarithm problem (ECDLP). Security analysis demonstrates that our iPMRSS provides correctness, identity privacy is ensured based on the hard problem assumption of Elliptical curve discrete logarithm problem. Data security is satisfied based on the security of the Blind ECDSA Signature. Performance evaluations demonstrate that our theoretical results are consistent with simulations, thereby a comparative analysis with related state of art techniques show that our proposed iPMRSS scheme in about 1.5 ms has shorter time cost under some security level.

Toward Automatically Connecting IoT Devices with Vulnerabilities in the Wild

With the increasing number of Internet of Things (IoT) devices connected to the internet, the industry and research community have become increasingly concerned about their security impact. Adversaries or hackers often exploit public security flaws to compromise IoT devices and launch cyber attacks. However, despite this growing concern, little effort has been made to investigate the detection of IoT devices and their underlying risks. To address this gap, this article proposes to automatically establish relationships between IoT devices and their vulnerabilities in the wild. Specifically, we construct a deep neural network (DNN) to extract semantic information from IoT packets and generate fine-grained fingerprints of IoT devices. This enables us to annotate IoT devices in cyberspace, including their device type, vendor, and product information. We collect vulnerability reports from various security sources and extract IoT device information from these reports to automatically match vulnerabilities with the fingerprints of IoT devices. We implemented a prototype system and conducted extensive experiments to validate the effectiveness of our approach. The results show that our DNN model achieved a 98% precision rate and a 95% recall rate in IoT device fingerprinting. Furthermore, we collected and analyzed over 13,063 IoT-related vulnerability reports and our method automatically built 5,458 connections between IoT device fingerprints and their vulnerabilities. These findings shed light on the ongoing threat of cyber-attacks on IoT systems as both IoT devices and disclosed vulnerabilities are targets for malicious attackers.

Self-Organizing Computational System for Network Anomaly Exploration using Learning Algorithms

The forum in the nation for reporting information security flaws had 14,871 reports by the end of 2021, a 46.6% increase from 2020. The total of 5,567 high risk vulnerabilities, an increase of nearly 1,400 over the previous year. Evidently, both the total number of vulnerabilities found annually, and the total number of high-risk vulnerabilities are rising. In order for data mining technology to play a wider part in the predictive investigation of network security models, it is advised that its capability have to be improved. This paper combines the concepts of data mining (DM) with machine learning (ML), which introduces similar technologies from DM technology and security establishing collection channel, thereby finally introduces the computer network security maintenance process based on data mining in order to improve the application effect of DM in the predictive analysis of network security models. In this paper, a self-organizing neural network technique that detects denial of service (DOS) in complicated networks quickly, effectively, and precisely is introduced. It also analyses a number of frequently employed computer data mining methods, including association, clustering, classification, neural networks, regression, and web data mining. Finally, it introduces a computer data mining method based on the self-organizing (SO) algorithm. In comparison to conventional techniques, the SO algorithm-based computer data mining technology is also used in defensive detection tests against Dos attacks. A detection average accuracy rate of more than 98.56% and a detection average efficiency gain of more than 20% are demonstrated by experimental data to demonstrate that tests based on the Data Mining connected SO algorithm have superior defensive detection effects than standard algorithms.

Fortifying the Internet of Things: A Comprehensive Security Review

A variety of new technologies and their related capabilities have entered daily life in the long run of the IoT technology. Various industrial sectors, including healthcare, facility management, agriculture, energy, and transportation, use IoT technologies. Interconnected networks are starting to include IoT devices like wearables, commercial appliances, connected electronics, smart grids, smart automobiles, etc. These gadgets produce enormous amounts of data, which are gathered, examined, recorded, and kept on the networks. IoT security is challenging to secure since the devices employ basic processors and operating systems that may not be compatible with advanced security measures. The information and the devices that are used by organizations as a part of their network must be protected against hackers. In this paper, we discuss about overall review of IoT systems that contains the scope of IoT in the future era, Some of the characteristics of IoT systems, layers including the working Architecture of IoT. We will also discuss some of the vulnerabilities and surface area attacks, application areas regarding IoT. Potential weaknesses in the IoT system could cause serious issues for enterprises. The majority of Internet of Things (IoT) devices have security flaws, including incorrect physical security systems, lack of lock-out mechanisms, weak encryption schemes, improper key management systems, and improper authentication mechanisms, or the use of default credentials. As in the evolving era, security issues are becoming a major problem so some of the security threats of IoT are also mentioned here. This paper also provides the methods for addressing the vulnerabilities to IoT systems' security.

An Efficient and Provably Secure Identity Authentication Scheme for VANET

In recent years, many researchers have applied aggregated signature techniques to resource-constrained vehicular Ad Hoc networks (VANET) authentication scenarios. We reviewed two recent VANET authentication schemes based on certificateless aggregated signatures (CLAS) while demonstrating that neither of them is resistant to public key replacement attacks under their security models. An eavesdropper can successfully forge a legitimate signature to perform malicious operation. To further address the above security flaws, we propose an improved CLAS scheme for VANET. Considering that some researchers have briefly or even incorrectly used forking lemmas in their security proofs to prove an insecure CLAS scheme, we further improve and refine the security model and security proof method for CLAS, which make the proof process transparent by using general forking lemma. Based on these improvements, our scheme can resist attacks from two types of adversaries in the CLAS security model. In the final performance analysis, the improved CLAS scheme outperforms the secure related scheme of recent years in terms of both computational and communication efficiency. Therefore, our proposal is more suitable for resource-constrained VANET environments.

Evaluation of Smart Contract Vulnerability Analysis Tools: A Domain-Specific Perspective

With the widespread adoption of blockchain platforms across various decentralized applications, the smart contract’s vulnerabilities are continuously growing and evolving. Consequently, a failure to optimize conventional vulnerability analysis methods results in unforeseen effects caused by overlooked classes of vulnerabilities. Current methods have difficulty dealing with multifaceted intrusions, which calls for more robust approaches. Therefore, overdependence on environment-defined parameters in the contract execution logic binds the contract to the manipulation of such parameters and is perceived as a security vulnerability. Several vulnerability analysis tools have been identified as insufficient to effectively identify certain types of vulnerability. In this paper, we perform a domain-specific evaluation of state-of-the-art vulnerability detection tools on smart contracts. A domain can be defined as a particular area of knowledge, expertise, or industry. We use a perspective specific to the area of energy contracts to draw logical and language-dependent features to advance the structural and procedural comprehension of these contracts. The goal is to reach a greater degree of abstraction and navigate the complexities of decentralized applications by determining their domains. In particular, we analyze code embedding of energy smart contracts and characterize their vulnerabilities in transactive energy systems. We conclude that energy contracts can be affected by a relatively large number of defects. It also appears that the detection accuracy of the tools varies depending on the domain. This suggests that security flaws may be domain-specific. As a result, in some domains, many vulnerabilities can be overlooked by existing analytical tools. Additionally, the overall impact of a specific vulnerability can differ significantly between domains, making its mitigation a priority subject to business logic. As a result, more effort should be directed towards the reliable and accurate detection of existing and new types of vulnerability from a domain-specific point of view.

Evaluation of the extent and demanding roles of ethical hacking in cybersecurity

<p>A permitted effort to acquire unlawful connection to computing systems, programs, or information is referred to as ethical hacking. Software developers must check for flaws, compartment focus, define needs and objectives, and create a method that makes the most of their resources. The rationale for this kind of vulnerability evaluation has a direct impact on the overall assessment’s estimate. More specifically, it is known that technological gadgets are necessary to prevent computer criminals from breaking into web applications to control their operations and gain access to confidential knowledge for unintended objectives. This research study provides an analysis to determine the scope and challenging responsibilities of ethical hacking employed in cyber security. Network monitoring is a legitimate need in which authorized developers attempt to breach a company’s frameworks or arrangements for the convenience of the owners to uncover security flaws. It provides information on how organizations may use computer forensics, such as vulnerability assessments using open-source devices, to safeguard their program’s administrators and operations. Numerous tools have been explored for security auditing of the networks which involves Nmap, Nessus, Brutus, Acunetix, etc. As a result, safeguards were put in place to identify these flaws and protect sensitive data from cyber-attacks. Ethical hacking has a bright future for detecting system or application vulnerabilities effectively. Nevertheless, tools utilized in the cyber security field for network or computer application secrecy have some limits namely growing complexity, high cost, security measures restrictions, etc. Hence, there is a wide scope to build new cost-effective cyber secrecy tools for the enhanced secrecy of user data in real time.</p>

A Stronger Secure Ciphertext Fingerprint-Based Commitment Scheme for Robuster Verifiable OD-CP-ABE in IMCC

Outsourced Decryption Attribute-based Encryption (OD-ABE) is emerging as a promising cryptographic tool to provide efficient fine-grained access control for data accessing and sharing in cloud-assisted Intelligent Internet of Mobile Things (IIoMT). Decryption verification is an essential property of OD-ABE to enable the mobile user to verify the precision of the decryption data. Unfortunately, the most representative verification (commitment) algorithms have various security flaws. In this paper, we first indicate that the two state-of-art key-based commitment schemes are vulnerable to “Commitment Extract(Decrypt)-then-Reuse Attack” and “Commitment Impersonation Attack” which demolish the unforgeability of the commitment. Then to cover all the existing attacks to commitment algorithms, we re-define a robuster verifiable security model for verifiable OD-ABE. Subsequently, we invent a ciphertext fingerprint (CTfp) based commitment scheme and give rigorous proof to the proposed commitment scheme including binding, hiding, unforgeability, and non-repudiation (traceability) in the random oracle. Next, we apply our CTfp-based commitment to the widely used OD-ABE schemes to provide them robuster verifiability. Finally, the theoretical comparison and simulation experiments are presented to show our new type of commitment algorithm is more secure and practical.

LS-AKA: A lightweight and secure authentication and key agreement scheme for enhanced machine type communication devices in 5G smart environment

The 3rd Generation Partnership Project (3GPP) has implemented the Authentication and Key Agreement (AKA) protocol in 5G communication networks to ensure user equipment privacy. Due to the high density and concurrent communication, the primary goal is to provide an efficient authentication for massive enhanced Machine Type Communication (eMTC) devices. However, certain security flaws have been discovered in the 5G-AKA protocol, and no scheme has yet been developed that meets the needs of a group of eMTC devices, such as signaling congestion avoidance, key forward/backward secrecy (KFS/KBS) establishment, resistance against malicious attacks, and session key secrecy. Furthermore, the current group-based 5G communication network techniques do not require the group membership update mechanism at each device joining or leaving the group. To address these issues, we present a lightweight and secure technique for assembling a secure ecosystem of eMTC devices in a 5G network. The protocol employs the incremental hash mechanism to complete group member joining/leaving activities. For a thorough assessment of LS-AKA, the Random Oracle Model (ROM) is used to do formal security proofs, and informal security analysis shows that it is resistant to malicious attacks. In addition, the performance and simulation results of the existing and suggested protocols in terms of signaling, communication, and computing overhead are analyzed. According to the assessment results, the LS-AKA protocol improves the privacy and confidentiality of the 5G-enabled smart environment.

Cryptanalysis of an image encryption algorithm using quantum chaotic map and DNA coding

Recently, an image encryption algorithm using Quantum Chaotic Map and DNA Coding (QCMDC-IEA) has been reported. It consists of two main components: pixel-level permutation and DNA domain substitution. To support its ability to withstand various attacks, several security analyses and experimental simulations were presented. However, after careful cryptanalysis, we found that QCMDC-IEA has inherent fatal security problems. Although formally using complex chaos and DNA encoding, the chaos-based sequences used for encryption in QCMDC-IEA are independent of a plain image such that it suffers from the defect of the existence of an equivalent key. Moreover, the lack of confusion and diffusion in DNA domain encryption makes it vulnerable to cryptographic attacks. DNA domain encryption is then essentially a 2-bit data substitution process, so it can be equivalently simplified. On this basis, we propose an attack method to crack QCMDC-IEA, which first obtains an equivalent permutation key by differential cryptanalysis, and then eliminates the DNA domain substitution based on a chosen-plaintext attack using only four special plain images and their corresponding cipher images, and finally recovers the original plain images. Our attack method takes full advantage of the security defects in QCMDC-IEA and achieves complete decipherment with low complexity, thus better revealing its intrinsic security mechanism. To improve the security performance, some security enhancement suggestions are recommended for similar cryptosystems. Both theoretical analysis and experimental simulation results show that the proposed cryptographic attack method is effective and feasible for QCMDC-IEA with low attack complexity. Therefore, the cryptanalysis work in this paper can provide some theoretical hints for improving the security of a class of image encryption algorithms based on DNA coding and chaos.

A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects

By interacting, synchronizing, and cooperating with its physical counterpart in real time, digital twin is promised to promote an intelligent, predictive, and optimized modern city. Via interconnecting massive physical entities and their virtual twins with inter-twin and intra-twin communications, the Internet of digital twins (IoDT) enables free data exchange, dynamic mission cooperation, and efficient information aggregation for composite insights across vast physical/virtual entities. However, as IoDT incorporates various cutting-edge technologies to spawn the new ecology, severe known/unknown security flaws and privacy invasions of IoDT hinders its wide deployment. Besides, the intrinsic characteristics of IoDT such as decentralized structure, information-centric routing and semantic communications entail critical challenges for security service provisioning in IoDT. To this end, this paper presents an in-depth review of the IoDT with respect to system architecture, enabling technologies, and security/privacy issues. Specifically, we first explore a novel distributed IoDT architecture with cyber-physical interactions and discuss its key characteristics and communication modes. Afterward, we investigate the taxonomy of security and privacy threats in IoDT, discuss the key research challenges, and review the state-of-the-art defense approaches. Finally, we point out the new trends and open research directions related to IoDT.

Certificateless Provable Data Possession Scheme Suitable for Smart Grid Management Systems

A large amount of data are generated at each section of the smart grid. Safely and efficiently storing and managing this data is a crucial challenge faced by the smart grid. Cloud-based smart grid management system (CB-SGMS) is a great choice for addressing this problem. Various departments in the smart grid upload the collected data to the cloud for storage. Due to the lack of physical control over the data stored in the cloud, it is a significant issue to judge that the data are intact. Provable data possession (PDP) scheme can solve this problem. Each department sends data to the cloud and entrusts it to a third-party verifier (TPV) to conduct integrity checks on data. In 2018, He et al. put forward a certificateless provable data possession (CL-PDP) scheme for CB-SGMS and professed that their scheme is secure. Unfortunately, we pointed out that there are security flaws in the scheme by showing two concrete attacks. We then came up with an improved scheme to make up for the security flaws. We presented the security requirements and gave the security proofs based on the discrete logarithm problem. In the end, we execute a comparison on performance for the improved scheme and the other five schemes. The results show that the improved scheme is more secure and efficient than other ones, which makes it suitable for CB-SGMS.

Smart Contracts Security Application and Challenges: A Review

There has been a rise in the demand for blockchain-based smart contract development platforms and language implementations. On the other hand, smart contracts and blockchain applications are generated using non-standard software life cycles, which means that, for example, distributed applications are rarely updated, or bugs are fully addressed by releasing a newer version, leading to security flaws and challenges for users to adopt the technology. Smart contracts have gained significant attention due to their potential to automate and secure various transactions in diverse domains. However, the increasing adoption of smart contracts has also raised concerns about security vulnerabilities and potential risks. In this paper, an overview of smart contracts was discussed in detail. It further distinguished and compared smart contracts security with conventional security regarding security, privacy, communication channel, etc. Different platforms for smart contracts, such as Bitcoin, Ethereum, Counterparty, Stellar, Monax, and Lisk, are also discussed in this paper. Some proposed techniques are used in different areas for handling security threats in smart contracts. In addition, a taxonomy of the smart contracts security application was proposed, which attempts to solve some of the flaws and inadequacies in smart contracts. The study also provides a comprehensive smart contracts security scenario with different techniques. Lastly, the possible attacks posed by threats and vulnerabilities of the smart contracts are provided. The security threats and vulnerabilities addressed in this study are unique to smart contracts.

A Comprehensive Study of Zero-Day Attacks

A zero-day attack refers to a type of cyber-attack that takes advantage of a software vulnerability that is previously unknown to the software vendor or developer. In other words, the attackers exploit a security flaw in a software application before the vendor has had a chance to release a fix (a patch) for it. This term "zero-day" originates from the fact that the developers have had "zero days" to address the vulnerability. In the face of increasingly sophisticated zero-day attacks, the role of future cybersecurity techniques is paramount. Future cybersecurity techniques will emphasize proactive defense measures that go beyond conventional signature-based approaches. These techniques will include advanced anomaly detection, behavior analysis, and predictive modeling to identify zero-day attacks before any damages are caused. The future of cybersecurity techniques will emphasize collaboration across various stakeholders. The significance of a zero-day attack lies in its potential to cause widespread damage and disruption. Zero-day vulnerabilities are unknown to the software vendor and the public, making them an attractive option for cybercriminals and hackers. Because there's no available fix, attackers can exploit these vulnerabilities without fear of immediate detection or prevention. Since the affected software or hardware isn't patched, attackers can infiltrate systems and carry out their malicious activities with little resistance. This can result in data breaches, unauthorized access, theft of sensitive information, and more, depending on the attacker's goals. The proposed study presents a comprehensive view of the threats, detection and the mitigation strategies for the zero-day attacks

Fog‐Sec: Secure end‐to‐end communication in fog‐enabled IoT network using permissioned blockchain system

AbstractThe technological integration of the Internet of Things (IoT)‐Cloud paradigm has enabled intelligent linkages of things, data, processes, and people for efficient decision making without human intervention. However, it poses various challenges for IoT networks that cannot handle large amounts of operation technology (OT) data due to physical storage shortages, excessive latency, higher transfer costs, a lack of context awareness, impractical resiliency, and so on. As a result, the fog network emerged as a new computing model for providing computing capacity closer to IoT edge devices. The IoT‐Fog‐Cloud network, on the other hand, is more vulnerable to multiple security flaws, such as missing key management problems, inappropriate access control, inadequate software update mechanism, insecure configuration files and default passwords, missing communication security, and secure key exchange algorithms over unsecured channels. Therefore, these networks cannot make good security decisions, which are significantly easier to hack than to defend the fog‐enabled IoT environment. This paper proposes the cooperative flow for securing edge devices in fog‐enabled IoT networks using a permissioned blockchain system (pBCS). The proposed fog‐enabled IoT network provides efficient security solutions for key management issues, communication security, and secure key exchange mechanism using a blockchain system. To secure the fog‐based IoT network, we proposed a mechanism for identification and authentication among fog, gateway, and edge nodes that should register with the blockchain network. The fog nodes maintain the blockchain system and hold a shared smart contract for validating edge devices. The participating fog nodes serve as validators and maintain a distributed ledger/blockchain to authenticate and validate the request of the edge nodes. The network services can only be accessed by nodes that have been authenticated against the blockchain system. We implemented the proposed pBCS network using the private Ethereum 2.0 that enables secure device‐to‐device communication and demonstrated performance metrics such as throughput, transaction delay, block creation response time, communication, and computation overhead using state‐of‐the‐art techniques. Finally, we conducted a security analysis of the communication network to protect the IoT edge devices from unauthorized malicious nodes without data loss.

A redesigned secure and efficient data transaction protocol for mobile payment system

Generally, the secure protocol was proposed from the certificateless signature (CLS) scheme to provide the corresponding security for the actual application. However, for the previous application protocols, most of the underlying CLS schemes cannot have their claimed security, because some proposals cannot resist forgery attacks or the master secret key can be captured by the probabilistic polynomial time adversary. To further address the above problems, we take several previous CLS schemes as instances to make a detailed analysis of the causes of the above security flaws and point out that, in a secure CLS scheme, we should appropriately publish the public parameters. Based on the above analysis, we design an efficient and secure CLS scheme in this paper, and the unforgeability is proved based on the hardness of discrete logarithm complexity assumption through the Forking lemma. Compared with the existing constructions, our new proposal has advantages in communication and computation efficiency but also has higher security. Furthermore, a concrete construction of a certificateless aggregate signature (CLAS) scheme is designed with the above basic CLS scheme to realize efficient verification of multiple signatures. Finally, we further improve the key conditions that need to be paid attention to design a secure CLS scheme.

Energy Efficient Trust Based Data Communication using AODV Protocol in MANET

MANET is a collection of mobile devices and small-scale infrastructure networks built without centralized control. Each node in these networks collaborates with the other nodes to serve as a host or router. Because the detection medium contains information about distributed communication transmitted through Internet resources, security is an essential aspect of the wireless sensor network. Due to security flaws in network routing attacks, most existing principles control power resources and topology structure responsibility in fewer security dependencies, resulting in various intrusion factors due to data breaches. This paper presents a secure routing mechanism for wireless sensor networks based on trust aware routing protocol. Most constraints the routing protocol is resilient in the presence of malicious nodes activities monitoring on the routing levels based on response portability and energy constraints. By concerning energy level-based security, we propose a Trust Aware Energy Efficient Routing Protocol (TAE2RP) using secure routing data transmission for improving lifetime maximization in WSN. Initially the Resistance Support Factor (RSF) was estimated based on the packet drop ratio by handling the data resemblance of route containing information. Then the routing levels behaviors are analyzed through Secure Surf-Channel Multicast Routing Protocol (SSCMRP). To evaluate the trust factor on packet transmission rate using TAE2RP. In addition, Redundant Array Shifting Encryption (RASE) was applied to secure the data packets. The authentication policy was enhanced through Master Node Digital signing authentication. This optimized the cost of security routing by handling energy balancing mechanisms to improve the higher security by concerning authentication to attain higher security.