{'fraction_non_alphanumeric': 0.0273972602739726, 'fraction_numerical': 0.0, 'mean_word_length': 4.896860986547085, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
IBFWA: Integrated Bloom Filter in Watchdog Algorithm for hybrid black hole attack detection in MANET

ABSTRACT In recent days, the Mobile Ad-hoc Network (MANET) has gained more attention and popularity due to its dynamic nature. However, it is highly vulnerable to attacks due to its wireless nature and lack of central authority. This affects the overall performance of the network. To solve this problem, the Watchdog protocol was developed for attack detection. However, if it receives a false report from a misbehaving node, it fails to detect the attack. To overcome this problem, the Integrated Bloom Filter with Watchdog Algorithm (IBFWA) is proposed in this article to avoid packet loss. Here, the Certificate Authority (CA) validates the node through the process of key generation. Then, it checks whether the node is normal or attacker; if it is a black hole node, it will be blocked and communication through this node is avoided. If a node is compromised and revoked as a normal node, it is added to the network and communication through the node is enabled. The experimental results evaluate the performance of the proposed attack detection system in terms of lower node outage, residual energy, end-to-end delay, high detection probability, throughput, packet transfer rate and packet delivery ratio.